4th workshop & symposium safety and integrity management ... · integrity management of...

Centre for Risk, Integrity and Safety Engineering (C-RISE) Faculty of Engineering and Applied Science Memorial University of Newfoundland @MUN_CRISE

In collaboration with the Canada-Newfoundland and Labrador Offshore Petroleum Board (C-NLOPB) @CNLOPB

4th Workshop & Symposium

Safety and Integrity Management of Operations in Harsh Environments July 15-17, 2019 • Holiday Inn • St. John’s • NL • Canada

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Safety and Integrity Management of Operations in Harsh Environments JULY 15-17, 2019 • HOLIDAY INN • ST. JOHN’S • NEWFOUNDLAND AND LABRADOR • CANADA

Organized by

in collaboration with

Supported by

CAPP • ACOA • TCII

Husky Energy • Equinor • ExxonMobil • Suncor Energy

NARL • Vale • NACE • Lloyd’s Register

Wood Group • Springer • Elsevier

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Steering Committee

Barnes, Paul CAPP

Coates, Andrew HSE Integrated

Jenke, Thomas NARL

Oldford, Dan ABS

Smith, Charles Private Consultant

Bragg, Barbara SNC Lavalin

Costello, Kris Nalcor Energy

Keay, Sean ExxonMobil

Oliver, Krista HSE Integrated

Stevens, Don Tata Steel

Brett, Paul Marine Institute

Cumby, Mark Hatch

Kennedy, Richard Det Norske Veritas

O'Rourke, Bonnie ACOA

Tessier, Scott C-NLOPB

Broders, Paul Wood PLC

Drodge, Kristopher Transocean

Khan, Faisal Memorial University

Parrell, Andrea Suncor Energy Inc.

Winsor, Bonnie C-NLOPB

Brown, Robert Marine Institute

Elfeki, Hassan OneSubsea

Maguire, Mike CAPP

Paulin, Mike INTECSEA

Zanon, Joao Vale

Butler, Trevor Lloyd's Register

Griffin, Paul C-CORE

McKeever, Thomas Equinor

Pike, Howard Memorial University

Chicoyne, Daniel C-NLOPB

Igloliorte, Gareth Husky Energy

Mercer, Steve Ocean Cluster

Ralph, Freeman C-CORE

Clarke, Alan PRNL

Janes, Ed TCII

Naterer, Greg Memorial University

Rideout, Lesley C-NLOPB

The Challenges of Harsh Environments Operations in Arctic and sub-Arctic regions face challenges from harsh environments. Such conditions can be attributed to low

temperatures, high winds, extreme freezing in remote locations, icing and permafrost. Due to these conditions, offshore operations

face many safety and integrity management challenges such as seasonal variations, data scarcity and logistics. To deal with these

challenges, it is crucial to perform risk assessment and develop reliable and resilient operational models to achieve safe working

conditions.

4th Workshop and Symposium Being highly motivated by the success of the first three workshops in 2013, 2014 and 2017, the 4th workshop and symposium will

bring together both industry experts and researchers to share knowledge and experience, and to identify and establish new

collaborative research opportunities relevant to the Canada-Newfoundland and Labrador Offshore Area and other harsh

environments. The 4th workshop and symposium will provide the following to its participants:

• Workshops by the experts from industry and academia on concurrent development in process data analysis, managed

pressure drilling and human factor analysis.

• Symposium sessions to display the latest research advancements in the field of safety, risk, reliability and integrity

management in harsh environments.

The Centre for Risk, Integrity and Safety Engineering (C-RISE) in collaboration with the Canada-Newfoundland and Labrador Offshore

Petroleum Board (C-NLOPB) has arranged the 4th workshop and symposium.

Message from Minister Siobhan Coady

inister Siobhan Coady

On behalf of the Government of Newfoundland and Labrador, welcome to Safety and

Integrity Management of Operations in Harsh Environments: Risk, Reliability and

Resilience, the fourth workshop and symposium of its series, held in St. John’s.

This year’s theme of Risk, Reliability and Resilience is truly an important theme as you

focus on obstacles in this province, such as harsh conditions and safety management.

Safety in our offshore is a top priority of government, as we continually improve processes

to meet the needs of a growing industry.

As you share your knowledge and experiences throughout these workshops and

symposiums, I invite you to take advantage of new collaborative research opportunities

that are relevant to the Canada-Newfoundland and Labrador Offshore Area and other

harsh environments.

Thank you to the Centre for Risk, Integrity and Safety Engineering (C-RISE) and the

Canada-Newfoundland and Labrador Offshore Petroleum Board (C-NLOPB) for organizing

another great workshop and symposium this year.

Honourable Siobhan Coady

Minister of Natural Resources

Government of Newfoundland and Labrador

Message from the Dean of Faculty of Engineering and Applied Science,

Memorial University

Welcome to St. John’s for the 4th Workshop and Symposium on Safety and Integrity

Management of Operations in Harsh Environments – Risk, Reliability and Resilience!

This event brings together leading experts, nationally and internationally, to present the

latest research advances and tools in industry that improve safety of operations in harsh

environments. It will provide both educational sessions in the Workshop and technical

sessions on advanced research in the Symposium. The event provides an ideal forum for

researchers and practitioners to develop innovative new concepts, processes and

technologies for harsh environment operations.

Through these sessions on advanced R&D and training, the event will enable safer designs

and operations of facilities, as well as new multi-disciplinary collaborations to address

the various technical challenges. It aims to address safety, risk and integrity issues

related to both process and environmental systems. Solutions will be presented and

discussed. Their impact on personnel, facilities and the environment will be examined to

safely implement new processes.

The Faculty of Engineering and Applied Science at Memorial University is pleased to

support this event. The Faculty has a proud tradition of excellence in research and

innovative programs related to safety and risk engineering. It has a wide range of

research and graduate programs in safety and risk engineering, as both separate

programs, and concentration areas within graduate programs in traditional fields. The

Faculty is home to a multidisciplinary Centre for Risk, Integrity and Safety Engineering

(C-RISE) led by Dr. Faisal Khan, Tier 1 Canada Research Chair in Offshore Safety and Risk

Engineering. Dr. Brian Veitch is the NSERC / Husky Energy Industrial Research Chair in

Safety at Sea.

The Faculty is among Canada’s most research intensive faculties, for example, in terms

of the graduate student to faculty ratio. Nearly one-third of the total student enrolment

in engineering is graduate students. A significant portion of this research activity is

related to safety and risk engineering.

This 4th Workshop and Symposium builds upon the success of past workshops in St. John’s.

It brings together a diverse audience of experts to share their knowledge and experience

on a timely topic of importance, nationally and internationally. Best wishes for a

successful and enjoyable event!

Greg F. Naterer, PhD, P.Eng.

Dean and Professor

Faculty of Engineering and Applied Science

Memorial University of Newfoundland

Message from the Director of the Centre for Risk, Integrity and Safety

Engineering (C-RISE)

We are living in the era of the “Industrial Revolution 4.0” and embracing the evolution

of digital technology. Artificial intelligence has driven automation and digitalization of

the system (often called digital twins) and soon will become the norm. While these

wonderful developments help achieve greater efficiencies and improved economics, the

pertinent questions remain unanswered…What are the safety and security implications

of this development? Does it make the processing system vulnerable or more resilient?

Does it enhance safety or risk? What is the impact of climate change (harsh environment)

on the operation’s safety and integrity?

This workshop provides an international platform to exchange our knowledge of safety,

risk, resilience and integrity management. Through sharing this knowledge, we

strengthen our belief and take a step closer to developing innovative solutions to prevent

failures, incidents, vulnerability and accidents, and thus improving safety, integrity and

resilience. This is an opportunity to enlighten our understanding and develop a collective

action plan to ensure safer designs and operations.

We, the Centre for Risk, Integrity and Safety Engineering (C-RISE) at Memorial University's

Faculty of Engineering and Applied Science, dedicate our time, energy and resources to

develop novel techniques, investigate modern technologies and generate new

knowledge. As dedicated researchers, we challenge ourselves to study applied and

practical problems. We are committed to making our facilities safer and more resilient.

We are connected to the global network of safety experts in industries, academia and

R&D organizations. We are contributing to scientific knowledge and developing an

innovative solution to challenges in safety and risk engineering.

Our geographical location adjoins to our responsibility to dedicate research efforts on

the safety and integrity issues in harsh environments. The pristine polar environments,

isolation and remoteness, deep water and extreme temperatures are all new challenging

conditions. The unknowns are monumental compared to our knowledge about these

conditions. It is only through sharing our limited knowledge that we can enrich our

understanding and develop an action plan to ensure safer and resilient operations.

We welcome you to participate in this symposium and workshop and stand for the cause

of making safety and integrity as the priority, both in belief and action. Let us share our

successes, as well as our failures, for the greater cause. In today’s technologically

advanced and harsh environments, sharing experiences and learning new ideas together

can help us move forward.

I want to take the opportunity to thank the Canada-Newfoundland and Labrador Offshore

Petroleum Board (C-NLOPB) for their tremendous support and collaboration to organize

this event. I would also like to gratefully acknowledge the financial support provided by

the Atlantic Canada Opportunities Agency (ACOA), the Canadian Association of Petroleum

Producers (CAPP) and the Newfoundland and Labrador’s Department of Tourism, Culture,

Industry and Innovation (TCII).

On behalf of the C-RISE, I am pleased to welcome you to the 4th Workshop and Symposium

on Safety and Integrity Management of Operations in Harsh Environments. The

contemporary theme of the symposium is advancing and sharing knowledge on risk,

resilience and reliability.

We hope that you benefit from this knowledge-sharing event and enjoy your stay in

beautiful St. John’s.

Faisal Khan, PhD, P.Eng.

Director, Centre for Risk, Integrity and Safety Engineering (C-RISE)

Canada Research Chair Tier I in Safety and Risk Engineering

Faculty of Engineering and Applied Science

Memorial University of Newfoundland

“Safety to System is Health to Human”

Message from the CEO of the Canada-Newfoundland and Labrador Offshore

Petroleum Board

The Canada-Newfoundland and Labrador Offshore Petroleum Board (C-NLOPB) is once

again pleased to partner with Memorial University’s Centre for Risk, Integrity and Safety

Engineering (C-RISE) to host the 4th Workshop and Symposium on Safety and Integrity

Management of Operations in Harsh Environments: Risk, Reliability and Resilience.

As the regulator for Newfoundland and Labrador’s offshore oil and gas industry, we are

fully aware of the risks that are involved with working in the Canada-Newfoundland and

Labrador Offshore Area, recognized as one of the harshest environments in the world. As

we anticipate a significant increase in activity over the next few years, we also recognize

that our offshore environmental conditions may become more severe.

This Workshop and Symposium is just one of the ways in which we seek to ensure

information and lessons learned are shared among stakeholders, as workplaces can be

made safer through informed governments, industry and academia. Safety and

environmental protection continue to be the C-NLOPB’s top priorities as we continue to

ensure that our daily focus, and that of industry, remain firmly on these areas.

This year, we are particularly pleased to present a special panel discussion featuring

regulators, government and industry, focused on performance-based regulation. Our

new, modern suite of regulations will be much more performance-based, enabling

innovation while keeping the industry safer than ever.

I’d like to thank C-RISE, the organizing committee and sponsors for supporting this year’s

event, and I’d like to welcome those of you visiting to St. John’s, wishing you a safe and

enjoyable stay.

Scott Tessier

CEO

C-NLOPB

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Safety and Integrity Management of Operations in Harsh Environments July 15-17, 2019 • HOLIDAY INN • ST. JOHN’S • NEWFOUNDLAND AND LABRADOR • CANADA

Special Panel Discussion Performance Based Regulations

A special panel has been organized during the Day

2 of the conference. This panel will discuss the

importance of setting performance based

regulation, and how it can enhance performance.

The panel will discuss the state-of-art progress of

Newfoundland and Labrador’s industries in this

context.

Moderator: Scott Tessier CEO, C-NLOPB

Panelists: John Kennedy Director of Operations, C-NLOPB

Robert Normore CSO, C-NSOPB

Cheryl McNeil Senior Policy Advisor, NRCan

Gareth lgloliorte HSEQ Manager, Husky Energy

Gerhard Ersdal Principal Engineer, Norwegian PSA

Tom Ekel Senior Project Manager, Lloyd’s Register

Special Session Transportation Safety

This special session will feature Cougar

Helicopters’ Flight 91 crash on 12 March 2009.

The impact of this fatal accident on

transportation safety will be discussed. This

session will include technical talks on how far

the Canada-Newfoundland and Labrador has

come in terms of safety.

Chairs: Daniel Chicoyne Senior Safety Advisor, C-NLOPB

Darlene Spracklin-Reid Lecturer, Memorial University

Speakers: Will Jacob Safety & Quality Manager, Cougar Helicopters Inc.

J.J. Gerber Operations Manager, Cougar Helicopters Inc.

Brian Walsh Operations Manager, PAL Airlines

Pentti Kujala Professor, Aalto University

Joachim Pektzilikoglou Safety Officer, C-NSOPB



Instructor: Dr. Sirish Shah, University of Alberta

Chair: Dr. Salim Ahmed, Memorial University

The process industry is awash with all types of data archived over many years: sensor data (mainly numerical data), binary alarm

data with operator actions (categorical data) to 'navigate' the process to operate at desired conditions and to identify and monitor

process models that are used for advanced control. In addition to this it is also important to include information on process topology

to capture the material and information flow paths in the process. The fusion of information from such disparate sources of process

data is the key step in devising strategies for a smart analytics platform for autonomous process operation. The purpose of this

workshop is to present results and strategies that will ultimately lead us to do predictive monitoring and optimal autonomous or semi-

autonomous process operation.

Instructor: Dr. Rob Brown, Memorial University

Chair: Dr. Susan Caines, Memorial University

Most people would be able to cite an example of a human factors problem from their own experience, since it may be something that

negatively affects their ability to use a given system under specific circumstances. This workshop will introduce the field of human

factors (HF) engineering and discuss how HF methods can be used to help analyze and improve the safety of operations in harsh

offshore environments. Basic principles will be discussed, along with some specific HF tools which can be employed to assess

operational safety. Ways of collecting and analyzing HF data will be presented and demonstrated through discussion of a relevant

case study.

The objectives of this workshop are:

1. Establish an awareness of what human factors is, safe operations and harsh environments in the context of offshore oil and gas

exploration and production.

2. Discuss human factors data collection and analysis methods to show how they can be used to improve the safety of operations in

harsh environments.

Instructors: Dr. Syed Imtiaz, Memorial University

Mr. Justin Baker, Beyond Energy

Chair: Dr. Susan Caines, Memorial University

There is a renewed interest in managed pressure drilling (MPD) as we are venturing in the more challenging drilling territories including

offshore drilling. In many offshore reservoirs the margin between the pore pressure and fracture pressure is very narrow. Drilling in

such challenging conditions require precise control over hydrodynamic parameters for safe and efficient drilling operation. Automated

MPD can maintain pressure profile precisely by manipulating back pressure. MPD minimizes abnormal situations including reservoir

kick and fluid loss. It has many economic benefits including, higher rate of penetration, less interruption in drilling, extended casing

section, cementing in difficult to cement wells, etc. In this workshop the theoretical background of MPD systems, hardware

arrangements, and control algorithms for MPD will be covered. The talk will also cover the suite of control algorithms for MPD systems

ranging from the simple proportional-integral-derivative (PID) controller to the most advanced nonlinear model predict controller

(NMPC). The talk will also shed light on the justification of MPD system from cost and risk minimization perspective. We hope that

the workshop will be useful for both practitioners and research community working on MPD.

Workshop 1: Process Data Analytics July 15, 2019 | 3:00 PM TO 5:00 PM | CONCEPTION BAY NORTH & SOUTH

Workshop 2: Using Human Factors Methods to Improve Safety of Oil and Gas

Operations in Harsh Environments July 15, 2019 | 3:00 PM TO 5:00 PM | SALON F

Workshop 3: Background and Recent Advances in Managed Pressure Drilling July 17, 2019 | 3:00 PM TO 5:00 PM | CONCEPTION BAY NORTH & SOUTH

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Schedule Day 1 JULY 15, 2019

Day 2 JULY 16, 2019

Day 3 JULY 17, 2019

7:30 am – 8:00 am Registration and Breakfast Registration and Breakfast Registration and Breakfast

8:00 am – 8:15 am

Opening Remarks (Grand Salon) Noreen Golfman

Provost and Vice-President (Academic), Memorial University

Greg Naterer Dean, Faculty of Engineering and Applied

Science, Memorial University

Opening Remarks (Grand Salon) Brent Myron

Manager of Operations, CREAIT Network, Memorial University



Opening Remarks (Grand Salon) Josée Tremblay

Vice-President, Suncor Energy



8:15 am – 9:15 am

Morning Keynotes (Grand Salon) Harold Warner

Dynamic Air Shelters Jamie Beach

NARL

Morning Keynotes (Grand Salon) Gerhard Ersdal Norwegian PSA

Carlos Mastrangelo B-in Partners

Morning Keynotes (Grand Salon) Colin Clark

Lloyd’s Register Stephen Hale

Rutter Technology

9:20 am – 9:50 am

SYMPOSIUMS Risk in Harsh Environment (Conception Bay North & South) Paul Amyotte

Dalhousie University

Marine & Offshore Safety

(Salon F)

Subhasis Ghoshal McGill University

Reliability & Asset Integrity (Conception Bay North & South)

Ming Zuo University of Alberta

Accident Modelling & Investigation

(Salon F) Dan Haslam Transocean

Resilience (Conception Bay North & South)

Carlos Soares Universidade de

Lisboa

Data Analytics & Digitization

(Salon F)

Sirish Shah University of Alberta

9:50 am – 10:50 am Symposium

Presentations Symposium





Presentations 10:50 am – 11:10 am Refreshments Break (Grand Salon) Refreshments Break (Grand Salon) Refreshments Break (Grand Salon)

11:10 am – 11:40 am

Genserik Reniers Delft University of

Technology

Ji Jie University of Science and Technology of

China

Bing Chen Memorial University

Matt Morton & Simon Evans SNC – Lavalin

Hossam Gabbar University of Ontario

Institute of Technology

Krishnaswamy Nandakumar Louisiana State

University

11:40 am – 12:40 pm Symposium






Presentations

12:45 pm – 2:00 pm

Lunch Keynote (Grand Salon)

Greetings & Welcome Nick Whalen, Member of Parliament

Sarah Stoodley, Parliamentary Secretary

(Grand Salon) (12:45 pm – 12:55 pm)

Lunch & Special Panel Discussion on

PERFORMANCE BASED REGULATIONS

(Grand Salon) (12:55 pm – 3:45 pm)

John Kennedy, C-NLOPB Robert Normore, C-NSOPB

Cheryl McNeil, NRCan Gareth lgloliorte, Husky Energy

Gerhard Ersdal, PSA Tom Ekel, Lloyd’s Register

Lunch Keynote & Award Ceremony (Grand Salon) Biao Huang

University of Alberta Bob Koonce

High Reliability Group

2:15 pm – 2:45 pm

Afternoon Keynote

(Conception Bay North & South)

SueAnn Thistle Husky Energy

Afternoon Keynote (Salon F)

Randy Billard Virtual Marine

Afternoon Keynote

(Conception Bay North & South) Noel Brissard

NACE

Afternoon Keynote

(Grand Salon)

Carolyn Barnes ExxonMobil

3:00 pm – 5:00 pm

WORKSHOP 1 (Conception Bay North & South)

Sirish Shah University of

Alberta (Refreshment Break)

WORKSHOP 2 (Salon F)

Rob Brown Memorial University

(Refreshment Break)

WORKSHOP 3 (Conception Bay North & South) Syed Imtiaz

Memorial University &

Justin Baker Beyond Energy

(Refreshment Break)

Special Session on

TRANSPORTATION SAFETY

(Grand Salon) (Refreshment Break)

Cape Spear Visit (4:15 pm – 6:00 pm)

Social Events

Networking Session 5:00 pm – 7:00 pm

Location: Holiday Inn (Salon D)

Dinner Reception 7:00 pm – 9:00 pm

Location: Memorial's Battery Facility Address: 100 Signal Hill Rd

Whale Watching 5:30 pm – 7:30 pm (Light Meal Included)

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Schedule

Day 1 JULY 15, 2019

7:30 am – 8:00 am Registration and Breakfast

8:00 am – 8:15 am

Opening Remarks (Grand Salon)

Noreen Golfman Provost and Vice-President (Academic), Memorial University

Greg Naterer

Dean, Faculty of Engineering and Applied Science, Memorial University

8:15 am – 9:15 am

Morning Keynotes (Grand Salon)

Harold Warner Dynamic Air Shelters

Resilience in Infrastructure - Lighter and Flexible Infrastructure versus Bigger and Stronger

Jamie Beach NARL

Degradation – The Effects of Weather and Geometry

9:20 am – 9:50 am

SYMPOSIUMS

Risk in Harsh Environment (Conception Bay North & South)

Paul Amyotte Dalhousie University

Process Safety Concepts for the Prevention of Major Accidents: Application to Harsh Environments

Marine & Offshore Safety (Salon F)

Subhasis Ghoshal McGill University

Remediation of Petroleum Hydrocarbon Spills in Extreme Environments

9:50 am – 10:50 am Symposium Presentations

(Conception Bay North & South) Symposium Presentations

(Salon F)

10:50 am – 11:10 am Refreshments Break (Grand Salon)

11:10 am – 11:40 am

Risk in Harsh Environment (Conception Bay North & South)

Genserik Reniers Delft University of Technology Operational Safety Economics:

Also an Important Topic in Harsh Environments?

Marine & Offshore Safety (Salon F)

Ji Jie University of Science and Technology of China

Experimental Studies on Multiple Pool Fires (MPF) in the Harsh Environment

11:40 am – 12:40 pm Symposium Presentations


(Salon F)

12:45 pm – 2:00 pm

Lunch Keynote (Grand Salon)

Bob Koonce High Reliability Group

High Reliability Operations

2:15 pm – 2:45 pm

Afternoon Keynote (Conception Bay North & South)

SueAnn Thistle Husky Energy

The Implementation of High Reliability Principles in an Offshore Oil and Gas Operation

Afternoon Keynote (Salon F)

Randy Billard Virtual Marine

Using Simulation to Study Lifeboat Coxswain Training and Emergency preparedness

3:00 pm – 5:00 pm



Process Data Analytics (Refreshment Break)

WORKSHOP 2 (Salon F)

Rob Brown Memorial University

Using Human Factors Methods to Improve Safety of Oil and Gas Operations in Harsh Environments

(Refreshment Break)

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8:00 am – 8:15 am


Brent Myron Manager of Operations, CREAIT Network, Memorial University

Greg Naterer


8:15 am – 9:15 am


Gerhard Ersdal Principal Engineer, Norwegian PSA

Structural Integrity Management of Ageing Structures in Harsh Environments

Carlos Mastrangelo B-in Partners

Dealing with Uncertainties, Lessons from the First FPSO in the US GoM

9:20 am – 9:50 am

SYMPOSIUMS


Ming Zuo University of Alberta

Machine-Learning Methods for PHM and Reliability Assurance

Accident Modelling & Investigation (Salon F)

Dan Haslam Transocean

Implementation of an Operational Integrity Strategy and How to Translate it to Offshore Operations



(Salon F)


11:10 am – 11:40 am


Bing Chen Memorial University

Risk-Human Factor Analysis for Oil Spill Response Decision Making

Accident Modelling & Investigation (Salon F)

Matt Morton & Simon Evans SNC – Lavalin

Getting Results: How Digital Technologies Improve Worker Safety and Integrity Risk Management



(Salon F)

12:45 pm – 12:55 pm

Greetings & Welcome Nick Whalen, Member of Parliament

Sarah Stoodley, Parliamentary Secretary (Grand Salon)

12:55 pm – 3:45 pm

LUNCH & SPECIAL PANEL DISCUSSION ON PERFORMANCE BASED REGULATIONS (Grand Salon)

John Kennedy, C-NLOPB

Robert Normore, C-NSOPB Cheryl McNeil, NRCan

Gareth lgloliorte, Husky Energy Gerhard Ersdal, PSA

Tom Ekel, Lloyd’s Register

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8:00 am – 8:15 am


Josée Tremblay Vice-President, Suncor Energy

Greg Naterer


8:15 am – 9:15 am


Colin Clark Lloyd’s Register

Operational Safety in Harsh Environments: The Human Perspective

Stephen Hale Rutter Technology

Modernization of Ocean Sensor Digitization

9:20 am – 9:50 am

SYMPOSIUMS Resilience

(Conception Bay North & South) Carlos Soares

Universidade de Lisboa Risk and Economic Considerations in the Layout of

Subsea Production Systems

Data Analytics & Digitization (Salon F)


Machine Learning Tools for Abnormal Situations Management



(Salon F)


11:10 am – 11:40 am

Resilience (Conception Bay North & South)

Hossam Gabbar University of Ontario Institute of Technology

Resilient Energy Systems for Safe and Sustained Operation of Offshore and Onshore Process Industry

in Harsh Environment

Data Analytics & Digitization (Salon F)

Krishnaswamy Nandakumar Louisiana State University

Advanced Computational Models for multiphase flow processes



(Salon F)

12:45 pm – 2:00 pm

Lunch Keynote & Award Ceremony (Grand Salon) Biao Huang

University of Alberta Data Analytics and Machine Learning for Failure Prediction and Control

2:15 pm – 2:45 pm

Afternoon Keynote (Conception Bay North & South)

Noel Brissard NACE

International Measures of Prevention, Application, and Economics of Corrosion Technologies

Afternoon Keynote (Grand Salon)

Carolyn Barnes ExxonMobil Canada Ltd.

A Safety Program Focused on Human Performance

3:00 pm – 5:00 pm


Syed Imtiaz, Memorial University Justin Baker, Beyond Energy

Background and Recent Advances in Managed Pressure Drilling

(Refreshment Break)

SPECIAL SESSION ON TRANSPORTATION SAFETY

(Grand Salon) Will Jacob, Cougar Helicopters Inc. J.J. Gerber, Cougar Helicopters Inc.

Brian Walsh, PAL Airlines Pentti Kujala, Aalto University

Joachim Pektzilikoglou, C-NSOPB (Refreshment Break)

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Symposium Overview - Day 1 | July 15, 2019 9:20 AM TO 12:40 PM | CONCEPTION BAY NORTH & SOUTH

SESSION 1.1.1: RISK IN HARSH ENVRIONMENT Chair: Darlene Spracklin-Reid Memorial University of Newfoundland

9:20 – 9:50 AM

Technical Keynote: Paul Amyotte Dalhousie University Process Safety Concepts for the Prevention of Major Accidents: Application to Harsh Environments

9:50 – 10:10 AM Shaodong Zheng Tsinghua University Efficient Annotation of Unlabeled Process Data by Unsupervised Learning Algorithms

10:10 – 10:30 AM Xin Wei Chongqing University of Science and Technology Risk Analysis of Gaseous SO3 Sulfonation Reactor System Based on HAZOP-LOPA

10:30 – 10:50 AM Meftah Abuswer College of Technical Science Quantitative Risk Analysis for Iron and Steel Furnace Units: Risk Calculation and Recommendations

SESSION 1.1.2: RISK IN HARSH ENVRIONMENT Chair: Baiyu Zhang Memorial University of Newfoundland

11:10 – 11:40 AM Technical Keynote: Genserik Reniers Delft University of Technology Operational Safety Economics: Also an Important Topic in Harsh Environments?

11:40 – 12:00 PM Kathleen E. Baker University of Alberta Risk Communication in Athabasca Oil Sands Tailings Operation

12:00 – 12:20 PM Kathleen E. Baker

University of Alberta Combining Safety Approaches to Bring Hazards into Focus: an Oil Sands Tailings Case Study

12:20 – 12:40 PM Daniel Kurian

University of Alberta Risk Assessment and Evaluation of Incident Reports in Alberta Oil Sands Tailings Operations

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Symposium Overview - Day 1 | July 15, 2019 9:20 AM TO 12:40 PM | SALON F

SESSION 1.2.1: MARINE & OFFSHORE SAFETY Chair: Wei Qiu Memorial University of Newfoundland

9:20 – 9:50 AM Technical Keynote: Subhasis Ghoshal

McGill University Remediation of Petroleum Hydrocarbon Spills in Extreme Environments

9:50 – 10:10 AM Jinqiu Hu China University of Petroleum Risk Analysis of CTV Transfer Operation Mode Based on Functional Resonance Accident Model

10:10 – 10:30 AM Mohammad Arif Memorial University of Newfoundland Rare Event Risk Estimate: An Offshore Newfoundland Case Study

10:30 – 10:50 AM Yordan Garbatov Universidade de Lisboa Fragility Analysis of Ageing Monopile OWT Structure Subjected to Seismic Loads

SESSION 1.2.2: MARINE & OFFSHORE SAFETY Chair: Freeman Ralph C-CORE

11:10 – 11:40 AM Technical Keynote: Ji Jie University of Science and Technology of China Experimental Studies on Multiple Pool Fires (MPF) in the Harsh Environment

11:40 – 12:00 PM Premkumar Thodi C-CORE Subsea and Pipeline Life Extension Assessment

12:00 – 12:20 PM Mark Fuglem

C-CORE Iceberg Disconnect Criteria for Floating Production Systems

12:20 – 12:40 PM Mike Doyle

Suncor Energy Is it Field Level Hazard Assessment or Field Level Risk Assessment? Does it Matter?

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SESSION 2.1.1: RELIABILITY & ASSET INTEGRITY

Chair: Hodjat Shiri Memorial University of Newfoundland

9:20 – 9:50 AM Technical Keynote: Ming Zuo

University of Alberta Machine-learning Methods for PHM and Reliability Assurance

9:50 – 10:10 AM Thumeera R. Wanasinghe Memorial University of Newfoundland Asset Integrity: Process, Technology, and People

10:10 – 10:30 AM Tony King C-CORE Modeling Iceberg Interaction with Subsea Pipelines

10:30 – 10:50 AM Amin Aslkhalili Memorial University of Newfoundland The Impact of Idealized Geometry on the Reliability of Drag Embedment Anchors

SESSION 2.1.2: RELIABILITY & ASSET INTEGRITY Chair: Hodjat Shiri Memorial University of Newfoundland

11:10 – 11:40 AM Technical Keynote: Bing Chen Memorial University of Newfoundland Risk-Human Factor Analysis for Oil Spill Response Decision Making

11:40 – 12:00 PM Xin Cheng Memorial University of Newfoundland Reliability Assessment of Offshore Oil Well Blowout Preventer Stack

12:00 – 12:20 PM Mashrura Musharraf

Memorial University of Newfoundland Integrating Machine Learning and FRAM to Extract Best Operating Practices from Observations

12:20 – 12:40 PM

Amy Price Memorial University of Newfoundland Comparative Statistical Analysis of Simulated Ice Management Effectiveness

17


SESSION 2.2.1: ACCIDENT MODELLING & INVESTIGATION Chair: Brian Veitch Memorial University of Newfoundland

9:20 – 9:50 AM Technical Keynote: Dan Haslam

Transocean Implementation of an Operational Integrity Strategy and How to Translate it to Offshore Operations

9:50 – 10:10 AM A.K.M.A. Quader Bangladesh University of Engineering & Technology Ammonia Storage Tank Failure at Di-ammonium Phosphate Plant and Lessons Learned

10:10 – 10:30 AM Alan Hillier Memorial University of Newfoundland Experimental Analysis of Corrosion of Steel Pipelines in Harsh Marine Environment for Painted, Insulated, and Surface Exposed Pipelines

10:30 – 10:50 AM A.K.M.A. Quader Bangladesh University of Engineering & Technology Incineration of Carbon Disulfide for Safe Disposal

SESSION 2.2.2: ACCIDENT MODELLING & INVESTIGATION Chair: Yahui Zhang Memorial University of Newfoundland

11:10 – 11:40 AM Technical Keynote: Matt Morton & Simon Evans SNC-Lavalin Getting Results: How Digital Technologies Improve Worker Safety and Integrity Risk Management

11:40 – 12:00 PM Mohammad M. Huque Memorial University of Newfoundland Investigation of Cuttings Transport in Directional Drilling

12:00 – 12:20 PM

Beatriz Navas de Maya University of Strathclyde Marine Accident Learning with Fuzzy Cognitive Maps (MALFCMs): A case study on a maritime accident

12:20 – 12:40 PM Vandad Talimi

C-CORE Enhancing Harsh Environment Oil Spill Recovery Using Air Floatation System

18


SESSION 3.1.1: RESILIENCE Chair: Ramachandran Venkatesan Memorial University of Newfoundland

9:20 – 9:50 AM Technical Keynote: Carlos Soares

Universidade de Lisboa Risk and Economic Considerations in the Layout of Subsea Production Systems

9:50 – 10:10 AM Ming Yang Nazarbayev University Quantitative Resilience Assessment for Process Units Operating in Arctic Environments

10:10 – 10:30 AM Doug Smith Memorial University of Newfoundland An Approach to Detecting Vulnerability and Resilience in Complex Operations

10:30 – 10:50 AM Vahid Salehi Memorial University of Newfoundland Enhancing Safety through Building Adaptive Capacity in Organizational Structures of Hazardous Environments

SESSION 3.1.2: RESILIENCE Chair: Stephen Butt Memorial University of Newfoundland

11:10 – 11:40 AM Technical Keynote: Hossam Gabbar University of Ontario Institute of Technology Resilient Energy Systems for Safe and Sustained Operation of Offshore and Onshore Process Industry in Harsh Environment

11:40 – 12:00 PM Amit Bhowmik Tata Consultancy Services Limited Digitizing Safety Risk Assessment and its Prediction to Enable Safety at Harsh Weather Conditions

12:00 – 12:20 PM Hong Lin

China University of Petroleum Structural Robustness Assessment of Offshore Platforms for Progressive Collapse Considering Different Failure Paths

12:20 – 12:40 PM Carlos Soares

Universidade de Lisboa Reliability Prediction of a Subsea Separator

19


SESSION 3.2.1: DATA ANALYTICS & DIGITIZATION Chair: Lesley James Memorial University of Newfoundland

9:20 – 9:50 AM Technical Keynote: Sirish Shah

University of Alberta Machine Learning Tools for Abnormal Situations Management

9:50 – 10:10 AM Karl McManus Wood Plc Safe and Optimized Operations in Deepwater assets using Smart Analytics & Big Data; 2 Case Studies

10:10 – 10:30 AM Michael Schwarz University of Kassel A Mathematical Approach to a Real-Time Optimization of Safety Parameters in Wireless Communication Systems

10:30 – 10:50 AM Michael Schwarz University of Kassel Verified Digital Controller Operating on Programming Logic Controllers for Process Control

SESSION 3.2.2: DATA ANALYTICS & DIGITIZATION Chair: Dennis Peters Memorial University of Newfoundland

11:10 – 11:40 AM Technical Keynote: Krishnaswamy Nandakumar Louisiana State University Advanced Computational Models for Multiphase Flow Processes

11:40 – 12:00 PM Thumeera R. Wanasinghe Memorial University of Newfoundland Digital Twin for The Oil and Gas Industry: Opportunities and Challenges

12:00 – 12:20 PM Megan Lynch

NARL Alarm Management at NARL Refining LP Using Alarmsoft

12:20 – 12:40 PM Nicola Paltrinieri

Norwegian University of Science and Technology Fault Isolation of Subsea Systems through Information Fusion

KEYNOTE SPEAKERS

20



Resilience in Infrastructure - Lighter and Flexible Infrastructure versus Bigger and Stronger Harold Warner, Dynamic Air Shelters

21

Degradation – The Effects of Weather and Geometry Jamie Beach, NARL

22

High Reliability Operations Bob Koonce, High Reliability Group

22

The Implementation of High Reliability Principles in an Offshore Oil and Gas Operation SueAnn Thistle, Husky Energy

23

Using Simulation to Study Lifeboat Coxswain Training and Emergency Preparedness Randy Billard, Virtual Marine

23

Structural Integrity Management of Ageing Structures in Harsh Environments Gerhard Ersdal, Norwegian PSA

24

Dealing with Uncertainties, Lessons from the First FPSO in the US GoM Carlos Mastrangelo, B-in Partners

25

Operational Safety in Harsh Environments: The Human Perspective Colin Clark, Lloyd’s Register

26

Modernization of Ocean Sensor Digitization Stephen Hale, Rutter Technology

26

Data Analytics and Machine Learning for Failure Prediction and Control Biao Huang, University of Alberta

27

International Measures of Prevention, Application, and Economics of Corrosion Technologies Noel Brissard, NACE

28

A Safety Program Focused on Human Performance Carolyn Barnes, ExxonMobil Canada Ltd.

28

Process Safety Concepts for the Prevention of Major Accidents: Application to Harsh Environments Paul Amyotte, Dalhousie University

29

Operational Safety Economics: Also an Important Topic in Harsh Environments? Genserik Reniers, Delft University of Technology

29

Remediation of Petroleum Hydrocarbon Spills in Extreme Environments Subhasis Ghoshal, McGill University

30

Experimental Studies on Multiple Pool Fires (MPF) in the Harsh Environment Ji Jie, University of Science and Technology of China (USTC)

31

Machine-Learning Methods for PHM and Reliability Assurance Ming Zuo, University of Alberta

32

Risk-Human Factor Analysis for Oil Spill Response Decision Making Bing Chen, Memorial University

33

Implementation of an Operational Integrity Strategy and How to Translate it to Offshore Operations Dan Haslam, Transocean

33

Getting Results: How Digital Technologies Improve Worker Safety and Integrity Risk Management Matt Morton & Simon Evans, SNC – Lavalin

34

Risk and Economic Considerations in the Layout of Subsea Production Systems Carlos Soares, Universidade de Lisboa

35

Resilient Energy Systems for Safe and Sustained Operation of Offshore and Onshore Process Industry in Harsh Environment Hossam Gabbar, University of Ontario Institute of Technology

36

Machine Learning Tools for Abnormal Situations Management Sirish Shah, University of Alberta

37

Advanced Computational Models for Multiphase Flow Processes Krishnaswamy Nandakumar, Louisiana State University

38

KEYNOTE PRESENTATIONS (BASED ON THE ORDER OF PRESENTATIONS) Page

KEYNOTE SPEAKERS

21



JULY 15, 2019, 8:15 AM TO 8:45 AM | GRAND SALON

HAROLD WARNER CEO, DYNAMIC AIR SHELTERS Session: Morning Plenary Keynote Bio: Harold Warner was raised on a farm outside of Kennedy, Sask, and moved to Calgary with his parents when he was 12 years old. A lifelong entrepreneur, Harold and his wife Vicki first owned a promotional and hot-air balloon business which they began in 1981. They owned and operated Aero Dynamics Aerostats & Promotions (ADAP). Harold was an accomplished balloonist holding among others, the World Record for the furthest distance traveled in a hot air balloon from 1984 to 1989 when his record was broken by Sir Richard Branson. The air shelter technology was developed as an outgrowth of Warner's hot air balloon business. The experience of dealing with fabric structures which required compliance with air worthiness standards helped Harold commit his product development to shelters that served at higher performance levels. The company initially designed and developed inflatable promotional shelters but soon branched out into the utility and industrial markets. The company has gained recognition for the creation of the blast resistant air shelter; a shelter system that will withstand significant external forces that result from explosions. This shelter design is used to protect personnel in areas of risk including petro chemical plants and the military theatre. In 2000, the Warners sold the assets of ADAP and formed a new business Aero Dynamics Inflatable Shelters Inc. (ADISI). The firm designed and produced inflatable shelters for the promotional and utility shelter market from a production facility in South East Calgary. In 2004, owing to near impossibly low unemployment rates, Dynamic Air Shelters Ltd, a Newfoundland company was formed, and the entire manufacturing operation subsequently moved to Grand Bank, NL where it remains today.

Resilience in Infrastructure - Lighter and Flexible Infrastructure versus Bigger and Stronger

Abstract: A Grand Bank, Newfoundland company has experienced dramatic results in their tests to prove that in matters of safety, the conventional attributes of stronger, thicker and heavier does not mean safer. Dynamic Air Shelters has recently fully defeated the intrusion of a shock wave in habitable space with a lightweight portable structure, when that structure is exposed to a free field explosion. The Dynamic Multi Layer Pneumatic structure substantially outperforms steel blast resistant buildings when mitigating the risk of shock injuries on personnel who are occupying structures designed for their safe occupancy. This innovation introduces new prospects in the quest to defeat brain injuries that are military conflict. Then, applying themselves to protecting their customers from the effects of pool and jet fire, Dynamic can demonstrate that some of their textiles, with high value heat flux ratings can defeat the threat of heat from fire much more effectively and far more economically than many conventional heat barriers. Company founder and President, Harold Warner will discuss the breakthroughs that have resulted from his company’s continued focus on innovation and research.

KEYNOTE SPEAKERS

22




JAMIE BEACH VICE PRESIDENT, NARL Session: Morning Plenary Keynote Bio: Jamie started his career at North Atlantic Refinery 21 years ago as Fire Chief. Since then he has continued his education in the areas of Safety and Risk Management while holding various positions leading to his current role as Vice President of Health, Safety, Security and Environment at the Refinery. In this capacity he has leadership oversight for Process Safety Management and the Metallurgical, Engineering and Inspection Groups in addition to the traditional HSE functions. Jamie holds an IFSAC NFPA Level III Firefighter certification through Oklahoma State University and a certificate of Fire Service Leadership from Dalhousie University. He has completed course work leading to a Canadian Registered Safety Professional (CRSP) and Canadian Risk Management (CRM) designations.

Degradation – The Effects of Weather and Geometry

Abstract: The Primary purpose for an Asset Integrity Program is to avoid failures. One element of such a program is equipment monitoring, with one aspect being to analyse degradation. To monitor degradation, measurements must be taken to establish a baseline so future measurements along with operational parameters can be utilized to establish an operating life cycle of the asset. Metal degradation mechanisms such as corrosion, erosion and cracking are common within the Oil and Gas Industry. Understanding these mechanisms can be very complex. Typically, it involves the collection of field data utilizing specialised equipment and personnel and technical analysis by highly skilled engineers to determine Fit for Purpose limitations. Harsh conditions can have a significant impact to such a program. From preventing access to locations for data gathering to the chronic effects it can have to specific locations associated with degradation. Hear how the less complex and practical learnings of “Asset” “Climate” and “Geometry” can have a significant role in Fit for Service evaluations.

JULY 15, 2019, 12:45 PM TO 2:00 PM | GRAND SALON

BOB KOONCE FOUNDER, HIGH RELIABILITY GROUP Session: Lunch Plenary Keynote Bio: Bob Koonce founded High Reliability Group after 20 years in the US Nuclear Navy where he served on five different nuclear fast attack submarines culminating in Command of USS KEY WEST (SSN 722). Following his retirement from the Navy in 2011, Bob has held a variety of leadership roles primarily in the Energy Industry where he has led business development, project management, and consulting efforts for large and small companies. He is an expert in leadership and High Reliability Organizations, a co-author of Extreme Operational Excellence, a book on the culture of excellence in the US Nuclear Submarine Force, a keynote speaker, and passionate about helping other leaders reach their goals.

High Reliability Operations

Abstract: A High Reliability Organization is an organization that has succeeded in avoiding catastrophes in an environment where normal accidents can be expected while achieving its mission. Through engaging real stories of challenging operations during his twenty years on Nuclear Submarines, Bob discusses the formula for Operational Excellence and High Reliability used by the U.S. Nuclear Navy.

KEYNOTE SPEAKERS

23



JULY 15, 2019, 2:15 PM TO 2:45 PM | CONCEPTION BAY NORTH & SOUTH

SUEANN THISTLE SENIOR MANAGER, HUSKY ENERGY Session: Afternoon Plenary Keynote Bio: SueAnn Thistle is the Senior Manager for Operational Excellence in Husky’s Atlantic Region. She is a professional engineer with 25 years’ experience in technical, safety-focused and continuous improvement roles. With an MBA and a Master’s Certificate in Project Management, she combines process safety expertise with sound business understanding, strong leadership ability and a proven track record in project management. She has been with Husky Energy for 15 years in a variety of project, operational, regional and corporate roles. In 2018, she returned to Husky’s Atlantic Region to drive improvements in leadership, culture and management systems. With a strong reputation for making sound decisions, driving change and addressing complex challenges she has taken on leadership roles during times of major incidents. She has also served as lead investigator for major incidents including those also investigated by the Transportation Safety Board. She is on the steering committee of Husky’s Corporate Women’s Leadership Network and led the establishment of the Network in the Atlantic Region. Prior to joining Husky, she held the positions of HSEQ Manager and Management System Coordinator for Maersk Contractors, for the White Rose Project in Newfoundland and Labrador, Canada. She also worked for the Canada-Newfoundland and Labrador Offshore Petroleum Board as a Safety Officer. Her early career was spent as an engineer specializing in determining the risk of ice loads on offshore and design of subsea structures.

The Implementation of High Reliability Principles in an Offshore Oil and Gas Operation

Abstract: Offshore oil and gas installations are complex operations subject to major accidents. The presentation discusses High Reliability Operation principles and their application to the offshore oil and gas industry as a strategy to prevent these accidents. Implementation by a local operator will be used as examples of these principles in action.

JULY 15, 2019, 2:15 PM TO 2:45 PM | SALON F

RANDY BILLARD CHIEF TECHNICAL OFFICER, VIRTUAL MARINE Session: Afternoon Plenary Keynote Bio: Randy Billard is the Chief Technical Officer and Executive Vice-President of Virtual Marine. He is responsible for leading Virtual Marine’s team of engineers and computer scientists in the continuous development of small craft simulation technologies. He has expertise in military and civilian simulator development and project management, and he is actively involved in the ocean engineering and simulation R&D communities. He is certified as a P.Eng., holds a bachelor’s degree in mechanical engineering and a master’s degree in ocean and naval architectural engineering from Memorial University, with expertise in vessel and wave modelling. He is currently a PhD student in Engineering at Memorial University with a research concentration in using machine learning to measure human performance in simulation-based training programs.

Using Simulation to Study Lifeboat Coxswain Training and Emergency Preparedness

Abstract: Lifeboats are essential life-saving equipment for all types of vessels and offshore platforms. Lifeboat simulators allow for training in high risk scenarios and provide a means to assess competence in environmental conditions that are plausible in an offshore emergency, including high sea states. Human factors studies were performed to evaluate how the type and amount of training acquired in different training programs involving simulators, live boats, or computer-based training impacted performance in a simulated emergency scenario.

KEYNOTE SPEAKERS

24




GERHARD ERSDAL PRINCIPAL ENGINEER, NORWEGIAN PSA Session: Morning Plenary Keynote Bio: Gerhard Ersdal is currently principal engineer at the Petroleum Safety Authority, Norway and holds a position as adjunct professor at the University of Stavanger. The key research areas for Gerhard Ersdal have for many years been all aspects of managing and assessing ageing offshore structures in harsh environment, including strength of deteriorated structures, fatigue analysis of old structures, probabilistic inspection planning for ageing structures, structural integrity management, emergency preparedness and response related to structures and marine systems, probabilistic methods used in assessing ageing structures etc. Gerhard Ersdal has also been involved in research related to risk analysis, risk management and barrier management as a method to manage major accident hazards. Gerhard Ersdal holds a master’s degree in marine structures from the Norwegian Technical University, Trondheim from 1991 and a PhD in structural safety of ageing structure from University of Stavanger from 2005.

Structural Integrity Management of Ageing Structures in Harsh Environments

Abstract: Maintaining the safety of ageing structures is important as experience has shown that a lot of these are used well beyond their original design life due to remaining resources in the fields and the potential use of existing structures as hubs for satellite fields. Replacement with new structures are both economically unsound. However, using ageing structures beyond their original design life also raises several problematic issues. Structures are exposed to conditions of stresses and environment that ultimately will degrade them from its initial state and damage will accumulate until the structures may be judged to be no longer fit-for-service, and if not withdrawn from service, failure of some kind will eventually occur. Also, the cost of the required maintenance, inspection and repair needed to cope with this deterioration and damage will at some stage become unacceptable compared to the revenue from the production on these platforms. Hence, it becomes vital to know how the structures change with age, how their condition and other aspects influencing their safety can be determined, how their capacity (strength and fatigue life) can be determined, how any anomalies in the structures should be evaluated, how anomalies can be repaired and mitigated, and how the integrity management of ageing structures should be performed. This presentation will give an overview of these issues and will present the state-of-the-art and research needs in several areas related to structural integrity management of ageing structures in harsh environments.

KEYNOTE SPEAKERS

25




CARLOS MASTRANGELO PRIVATE CONSULTANT, B-IN PARTNERS Session: Morning Plenary Keynote Bio: Private Consultant for B-in Partner, with 34 years’ experience in the O&G Industry. His activities in the ‘80s helped Petrobras consolidate the use of FPSOs. Graduated as Civil with emphasis in structural engineering and Petroleum Engineer, Carlos has held advisory and executive positions at Petrobras since 1985. In 2001 he was appointed Executive Coordinator of the Petrobras’s program in response to the P-36’s accident, aiming to revise the entire company offshore activities, guidelines, training and emergency response. Relocated to the US in 2006 where he was responsible for defining strategies, requirements and the concept for the first FPSO as well as the first purpose-built Jones-Act shuttle-tanker, in the US GoM. Joined SBM Offshore in 2012 for 5 years as FPSO Account Director and Senior Vice-President responsible for conceptual development and R&D department. His past responsibilities include field development, feasibility studies comprising appraisal, conceptual, FEED, constructions, and operation for owned and leased Units.

Dealing with Uncertainties, Lessons from the First FPSO in the US GoM

Abstract: The O&G industry witnessed the boom of FPSOs around the mid ‘90s. A decade later, the US approved the first FPSO in the Gulf of Mexico, to exploit the Cascade and Chinook field. This presentation will address the steps towards the first FPSO in the US focusing on safety, integrity and reliability. The final concept was a result of a sequence of decisions to deal with uncertainties and unknowns. This presentation will summarize the journey of the main risks identified and the decisions of acceptance, avoidance, transference and mitigation. The project was moving to a new area never exploited before. The design was to be done just after major events such as Rita and Katrina’s hurricanes that exceeded the expected hundred-year recurrence. Therefore, some of the parameters were not known at that moment and also the site location had never been explored before. Dealing with a high level of uncertainties has some similarities with the implementation of the first few FPSOs in the world. The industry combined both, the naval and shipyard experience with the offshore industry experience. The shipyard and naval industry comprise hundreds of years of experience and a high level of worldwide standardization. However, in perspective, the offshore industry was relatively new and with an unusual bespoken requirement variating on project-by-project bases. The combination of both industries came to the offshore business as a new concept that brought to the Society, regulatory agencies and stakeholders a natural perception that it is a higher risk solution than other concepts. Therefore, this perception contributed to the FPSO concept in terms of robustness of the requirements and more stringent operational guidelines. However, this robustness is highly dependent on a strict management of change not only on hardware but also on human resources. Opening new areas in the Barents Sea for petroleum activities requires care, knowledge and awareness of relevant operational uncertainty and risk. Projects with topics varying from working environment, winterisation, ice conditions, structural integrity to prevention of acute emissions, have been initiated in order to identify and assess uncertainty and risk related to petroleum activities in the Barents Sea. We aim to increase and supplement knowledge, make the results accessible to stakeholders and facilitate an informed dialogue concerning Arctic operations.

KEYNOTE SPEAKERS

26




COLIN CLARK STRATEGIC INITIATIVES MANAGER, LLOYD’S REGISTER Session: Morning Plenary Keynote Bio: Colin Clark, P.Eng. is the Americas Consultancy and Strategic Initiatives Manager for Lloyd’s Register and the President of Lloyd’s Register’s Applied Technology Group. A Naval Architect by training, he has been involved with major marine and offshore projects for the past 15 years. He currently leads a regional team that is innovating and applying technology for global solutions across a broad spectrum of domains. He is directly involved with developing solutions and services for clients in areas of digital data platforms and analytics, cyber, environment and sustainability, failure investigations, risk and advanced analysis.

Operational Safety in Harsh Environments: The Human Perspective


STEPHEN HALE VICE PRESIDENT, RUTTER TECHNOLOGY Session: Morning Plenary Keynote Bio: Over the past 20 years, Stephen has been involved in a wide range of activities in the telecommunications, mobile and marine industries. An Electrical Engineer who graduated from Memorial University of Newfoundland, Stephen started his career working in the telecommunications industry designing various telephony, data and mobile products as a Software Engineer and Development Manager. In 2008, Stephen joined Rutter Inc., a developer of advanced radar signal processing technologies for the marine safety, security, and environmental monitoring and protection industries. He has held various roles within Rutter in the R&D and sales organizations. Upon joining Rutter as their Software Architect and R&D Manager, he was responsible for the development of various Rutter projects for the sigma S6 Oil Spill Detection, Small Target Surveillance, Ice Navigator™ and WaMoS® II products. Later Stephen transitioned to head the sales & marketing division of Rutter. He is currently Vice President of Rutter, responsible for sales and business development for the company and its global dealer network.

Modernization of Ocean Sensor Digitization

Abstract: The marine industry is currently undertaking a large focused effort around the digitalization of marine operations. While gaining much attention at this time, the concept is not new. In the area of remote sensing, decades of research and development have been undertaken in this area. As the industry evolves, new opportunities for expanded use of sensors are emerging, aided by the centralized storage of data, improved communications systems, and increases in available processing power. This presentation explores this evolving digitization space from a small enterprise perspective highlighting some of the challenges and opportunities.

KEYNOTE SPEAKERS

27



JULY 17, 2019, 12:45 PM TO 2:00 AM | GRAND SALON

BIAO HUANG PROFESSOR, UNIVERSITY OF ALBERTA Session: Lunch Plenary Keynote Bio: Dr. Biao Huang received his Ph.D. degree in Process Control from the University of Alberta, Canada, in 1997. He held MSc degree (1986) and BSc degree (1983) in Automatic Control from the Beijing University of Aeronautics and Astronautics. He joined the University of Alberta in 1997 as an Assistant Professor in the Department of Chemical and Materials Engineering and is currently a Full Professor, and NSERC Senior Industrial Research Chair in Control of Oil Sands Processes. He is an IEEE Fellow, Fellow of the Canadian Academy of Engineering, and Fellow of the Chemical Institute of Canada. He is a recipient of many awards including Alexander von Humboldt Research Fellowship from Germany, Best Paper award from IFAC Journal of Process Control, APEGA Summit Award in Research Excellence, and Bantrel Award in Design and Industrial Practice, etc. He has published five books and many peer-reviewed journal papers. His research interests include process control, data analytics, machine learning, Bayesian inference. He is currently the Editor-in-Chief for IFAC Journal Control Engineering Practice, Subject Editor for Journal of the Franklin Institute, and Associate Editor for Journal of Process Control.

Data Analytics and Machine Learning for Failure Prediction and Control

Abstract: Modern industries are awash with a large amount of data. Extraction of information and knowledge discovery from data for process design, control and optimization, from day-by-day routine process operating data, is especially interesting but also challenging. Data analytics has played an important role in the safe operation of process systems, particularly in traditional data-based failure prediction. On the other hand, modern machine learning technologies, especially deep learning and reinforcement learning techniques, have gained significant progress, attracting a lot of interests from engineering communities. This presentation will introduce some of the essential traditional data analytics and modern machine learning technologies. We will then present application examples of early flare event prediction by data analytics, followed by an exploratory introduction to fault-tolerant reinforcement learning control.

KEYNOTE SPEAKERS

28



JULY 17, 2019, 2:15 PM TO 2:45 PM | CONCEPTION BAY NORTH & SOUTH

NOEL BRISSARD TRUSTEE, NACE Session: Afternoon Plenary Keynote Bio: Noel is an industry consultant with 40+ years of global experience in the Oil & Gas service sector focusing on corrosion mitigation, flow maximization and risk management from both a technical and business delivery perspective. He is currently the elected Trustee for NACE International NL Section. He holds a Master certificate in Project Management and is an accredited Project Management Professional (PMP).

International Measures of Prevention, Application, and Economics of Corrosion Technologies

Abstract: National Association of Corrosion Engineers (NACE) is the preeminent community for disseminating knowledge, enhancing skills and expanding the professional networks of corrosion control and asset protection professionals worldwide. NACE equips society to protect people, assets, and the environment from the adverse effects of corrosion. This has been historically accomplished by: (i) delivering corrosion solutions, technical exchange, expertise and education, (ii) establishing accredited corrosion control standards, (iii) advancing careers through (a) workforce development and certification, (b) leadership skills development, and (c) business networking, (iv) increasing policymakers’ attention to corrosion, and (v) building a valued student population – future corrosion subject matter experts.

NACE International has recently conducted an IMPACT study titled, “International Measures of Prevention, Application, and Economics of Corrosion Technologies”. The study features in-depth research and resources on the updated global cost of corrosion, corrosion management practices, best practices for corrosion management, financial tools and respective benchmarking. The presentation will provide an introduction to NACE and an overview of NACE’s Impact Study.

JULY 17, 2019, 2:15 PM TO 2:45 PM | GRAND SALON

CAROLYN BARNES SSHE SUPERVISOR, EXXONMOBIL CANADA LTD. Session: Afternoon Plenary Keynote Bio: A native of Newfoundland and Labrador, Carolyn Barnes has been working in the oil & gas industry since graduating from Memorial University with a Bachelor of Engineering degree in 2003. Carolyn joined ExxonMobil in 2004 and has worked in Alberta, Australia and Newfoundland in the engineering and SSHE departments. Mostly recently Carolyn has been involved in the startup and operation of the Hebron project as the SSHE Supervisor.

A Safety Program Focused on Human Performance

Abstract: Injury rates in the Oil & Gas industry have been falling considerably over the last 30 years as a result of regulation, advent of safety management systems, and active care models for engagement of the workforce. However, over the past number of years personal safety performance has plateaued. ExxonMobil has partnered with Ingenium to develop a safety program focused on Human Performance which is felt to be the next step in personal safety performance and achieving our goal of Nobody Gets Hurt. The presentation focused on the industry's journey of safety programming, discusses the place for transformational leadership and workforce engagement, and the application of Human Performance knowledge and programs to achieve best-in-class safety performance on the Hebron Project (i.e., ~45 million work hours in Newfoundland and Labrador without a loss-time incident).

KEYNOTE SPEAKERS

29



JULY 15, 2019, 9:20 AM TO 9:50 AM | CONCEPTION BAY NORTH & SOUTH

PAUL AMYOTTE PROFESSOR, DALHOUSIE UNIVERSITY Session: Risk in Harsh Environment Bio: Dr. Paul Amyotte, P.Eng. is a Professor of Chemical Engineering in the Department of Process Engineering and Applied Science at Dalhousie University (Halifax, Canada) where he holds the C.D. Howe Chair in Process Safety. He has an extensive record of authorship, with five books, seven book chapters and over 300 papers published in peer-reviewed journals or presented at national and international conferences. Dr. Amyotte is the editor of the Journal of Loss Prevention in the Process Industries, and a past-president of the Canadian Society for Chemical Engineering, Engineers Nova Scotia, and Engineers Canada. He is a recipient of the Cybulski Medal from the Polish Academy of Sciences for significant and sustained contributions to the field of dust explosion research, as well as the Trevor Kletz Merit Award from the Mary Kay O’Connor Process Safety Center, and the Process Safety Management Award from the Canadian Society for Chemical Engineering.

Process Safety Concepts for the Prevention of Major Accidents: Application to Harsh Environments

Abstract: Major accidents are adverse events that involve significant releases, fires, explosions or loss of structural integrity, leading to multiple fatalities and/or serious damage to the environment or property. The continued occurrence of major accidents in the process industries is a matter of concern for all practitioners associated with the production, handling, storage and transportation of hazardous materials. The scope of the current presentation is the application of core process safety concepts to help prevent these disasters that fill newspaper headlines, kill with no regard for age or occupation, and threaten the existence and growth of the process industries. Seven such concepts are described from both fundamental and practical perspectives: (1) the creation of paradigm-enhancing organizations (e.g., the Center for Chemical Process Safety), (2) process safety culture, (3) consideration of the broader social and cultural aspects of major accidents, (4) awareness of the total cost of major accidents, (5) inherently safer design, (6) dynamic operational risk management, and (7) process safety competency. These basic tenets of process safety have been identified as being central to the prevention of major accidents by the presenter and his colleagues in their recent personal reflections on the 1984 Bhopal gas tragedy. The presentation also explores the application of the seven core concepts to extreme environments involving harsh working conditions.


GENSERIK RENIERS PROFESSOR, DELFT UNIVERSITY OF TECHNOLOGY Session: Risk in Harsh Environment Bio: Prof. Genserik Reniers is Chair of Safety of Hazardous Materials at Delft University of Technology, in the Netherlands. He is Editor of the Journal of Loss Prevention in the Process Industries and Associate Editor of Safety Science. He has published numerous scientific papers, as well as some 30 books.

Operational Safety Economics: Also an Important Topic in Harsh Environments?

Abstract: In this keynote, the scientific fields of micro-economics and safety science are mixed to understand the micro-economic aspects of safety decision-making. An overview of economic approaches is given and an algorithm for linking the most suitable economic strategy with a certain risk type and risk region is presented. The lecture is framed where useful within the setting of harsh environments.

KEYNOTE SPEAKERS

30



JULY 15, 2019, 9:20 AM TO 9:50 AM | SALON F

SUBHASIS GHOSHAL PROFESSOR, MCGILL UNIVERSITY Session: Marine & Offshore Safety Bio: Subhasis Ghoshal is a Professor of Civil Engineering at McGill University and his teaching and research is in the area of Environmental Engineering. He is also the Director of McGill’s Trottier Institute for Sustainability in Engineering and Design. Prof. Ghoshal has led several multi-investigator research projects on the use of biotechnology and nanotechnology for the environmental remediation of contaminated sites. He has pioneered research on novel strategies for application of nanoscale zerovalent iron for groundwater remediation. His research on bioremediation of hydrocarbons has led to the development of cost-effective bioremediation technologies in cold arctic and sub-arctic regions. He is the recipient of the 2016 and 2017 William and Rhea Seath Award in Engineering Innovation at McGill. In 2010, he was appointed by the Minister for the Environment, Government of Canada as a member of his advisory panel to evaluate the gaps in environmental monitoring of oil sands operations in Alberta.

Remediation of Petroleum Hydrocarbon Spills in Extreme Environments

Abstract: Bacterial degradation of petroleum hydrocarbons in natural and engineered systems is well documented. Yet, the successful implementation of bioremediation for cleanup of oil spills has faced significant challenges in many instances, particularly under cold environments. Several important aspects of the bacterial hydrocarbon processes are poorly understood and these include factors controlling bacterial adhesion to oil-water interfaces, the shifts in microbial community that may occur with temperature changes, nutrient abundance and the weathering and compositional changes of the petroleum liquid, and the optimal conditions for enhancement of cold-adapted hydrocarbon degraders. A thorough understanding of these factors are critical for successful implementation of microbial oil spill remediation and will be discussed. More recently, emerging developments in the application of nanotechnology suggest new opportunities for enhancing the efficiency of oil-spill cleanup. A review of these developments will be presented along with our research on understanding the role of aqueous chemistry and hydrodynamic forces on bacterial and nano/microparticle adhesion to oil-water interfaces and their implications for bioremediation or nanotechnology enabled remediation will be discussed. Highlights from our research on how knowledge of the shifts in microbial community with temperature, nutrient conditions and temperature fluctuations can influence microbial community and the implications for improving spill bioremediation will be presented. Opportunities for combining recent knowledge of biotechnology and nanotechnology for oil-spill remediation will be discussed.

KEYNOTE SPEAKERS

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JI JIE PROFESSOR, UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA (USTC) Session: Marine & Offshore Safety Bio: Dr. Jie Ji is Professor at the State Key Laboratory of Fire Science, University of Science and Technology of China (USTC). He obtained his Ph.D. degree in USTC. Currently he is the vice director of National & Local Joint Engineering Research Center of Thermal Safety Technology, the vice director and secretary general of Popular Science & Public Education Committee of CFPA. He serves as editorial board member of Fire Safety Journal (the official journal of IAFSS) and Fire Technology (the official journal of NFPA and SFPE). He has published over 70 SCI papers being as the first or corresponding author. He has presided the National Science Fund for Excellent Young Scholars funded by National Natural Science Foundation of China and several projects supported by National Key Research and Development Plan, etc. His research interests are fire dynamics, prevention and control of building fires, real-time forecasting of building and wildland fires.

Experimental Studies on Multiple Pool Fires (MPF) in the Harsh Environment

Abstract: Multiple pool fires (MPF) behavior has been a hot topic in fire community during the recent years. The interaction burning of MPF plays an essential role in the acceleration of large wildfires and fires in confined spaces and basically involves significant interactions among heat transfer, fluid dynamics and combustion. Until today, MPF behaviors have been poorly understood. Challenges on MPF behaviors include the coupling effect of air entrainment restriction and enhancement of heat feedback on burning of MPF, the critical condition of flame merging and the effect of external wind. The lecture starts with the background on MPF, including some typical cases of MPF and the state of MPF, goes through the summary of researches on burning behaviors of two identical fires in free space conducted by Dr. Ji’s group. It will include (1) the quantitative analysis of the effect of air entrainment on flame shape induced by two gas fires which burning is weakly affected by the heat feedback to develop the physical models between the flame shape (flame height and merging extent) and the heat release rate and fire spacing, (2) the development of model for burning rate of two pool fires under the superimposition effect of heat feedback with concerning the effects of pool size and spacing and (3) the quantitative investigation of the effect of external wind on the flame merging and tilt angle of two gas fires based on the theoretical analysis and experimental study methods.

KEYNOTE SPEAKERS

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MING ZUO PROFESSOR, UNIVERSITY OF ALBERTA Session: Reliability & Asset Integrity Bio: Dr. Mingjian Zuo received his Ph.D. degree in Industrial Engineering from Iowa State University, Ames, Iowa, U.S.A. He is currently Full Professor in the Department of Mechanical Engineering at the University of Alberta, Canada and Adjunct Professor at the University of Electronic Science and Technology of China. His research interests include system reliability analysis, maintenance modeling and optimization, signal processing, and fault diagnosis. He is Department Editor of IISE Transactions, Regional Editor of International Journal of Strategic Engineering Asset Management, and Editorial Board Member of Reliability Engineering and System Safety, Journal of Traffic and Transportation Engineering, International Journal of Quality, Reliability and Safety Engineering, Journal of Risk and Reliability, and International Journal of Performability Engineering. He is Fellow of the Institute of Industrial and Systems Engineers (IISE), Fellow of the Engineering Institute of Canada (EIC), Founding Fellow of the International Society of Engineering Asset Management (ISEAM), and Senior Member of IEEE.

Machine-Learning Methods for PHM and Reliability Assurance

Abstract: Reliability is a critical measure of performance of engineering systems such as pipelines, spacecraft, telecommunication networks, transportation vehicles, petrochemical refineries, and nuclear reactors. Recent advances in sensor, inspection, and diagnostic technologies have enabled non-invasive assessment of the health status of engineering systems in operation. Condition monitoring, signal processing, and machine learning methods have been used for prognosis and health management and system reliability assurance. This talk will introduce machine-learning methods for fault detection, fault assessment, fault diagnosis, and remaining useful estimation for industrial machinery.

KEYNOTE SPEAKERS

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BING CHEN PROFESSOR, MEMORIAL UNIVERSITY Session: Reliability & Asset Integrity Bio: Dr. Bing Chen is a Professor of Civil Engineering and Director of Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory at Memorial University. He is also the Director of NSERC Network on Persistent, Emerging and Organic Pollution in the Environment (PEOPLE). His research focus on environmental emergency (e.g., oil spill) response, marine and coastal pollution mitigation, water/wastewater treatment, and environmental modeling and decision making. He has led/co-led over 40 research and industrial projects leading to more than 310 refereed journal and conference publications as well as over 30 technical reports and 4 patents. He serves as VP of Canadian Society for Civil Engineering (CSCE), VP of Canadian Association on Water Quality (CAWQ), Senior Expert of United Nations Development Programme (UNDP), Member of Royal Society of Canada (RSC) Oil Spill Expert Panel, etc. He has received over 30 prestigious awards and been inducted into the Royal Society of Canada College.

Risk-Human Factor Analysis for Oil Spill Response Decision Making

Abstract: A major marine oil spill can cause catastrophic environmental, economic and social impacts. Human factors/errors (such as inappropriate actions by operators and unsafe supervision by organizations) play a vital role in oil spill incidents. Understanding the significance of these human contributions to spill occurrence and response can help in managing the risks and aid decision making from a human-activity perspective. However, human factors rarely get addressed in a quantitative manner in marine oil spill response planning and operation. This study has first reviewed over 80 major spill records in the past 40 years and identified that more than 40% of them were directly associated with human errors (e.g., insufficient training/experience, fatigue, misinterpretation, etc.). Then a new three-dimensional coordinate concept and risk-human factor analysis method have been developed to illustrate and examine the relationships among human factors/errors, uncertainties, and risk as well as the sources and influence of human factors during spill events and response decision making to help quantify and control risk/impacts. Case studies have demonstrated the feasibility and value of the method in quantifying and reflecting human factors in oil spill response planning and decision making. The significant impact of human factors on spill response efficiency have been observed during decision making process.


DAN HASLAM OPERATIONS MANAGER, TRANSOCEAN Session: Accident Modelling & Investigation Bio: Dan Haslam is Operations Manager for Transocean in St. John’s, Newfoundland and Labrador, Canada. Before being named to his current position, Mr. Haslam served as Senior Manager Reliability and Vendor Quality and previously spent 4 years in senior manager roles supporting new builds and operations in the US Gulf of Mexico. Mr. Haslam joined Transocean in 1997 as an engineer trainee, working in Asia, South America and the Gulf of Mexico. In addition to several rig management assignments in the UK and US Gulf of Mexico, he has also held leadership roles in Technical Field Support supporting operations in Europe and Africa, Corporate Subsea Support as well as participating in the construction phase of the last 3 rounds of New Builds. Mr. Haslam earned a master’s degree in Naval Architecture from the University of Newcastle Upon Tyne in 1996.

Implementation of an Operational Integrity Strategy and How to Translate it to Offshore Operations

Abstract: Operational Integrity. Implementation of an Operational Integrity Strategy and how to translate it to offshore operations.

KEYNOTE SPEAKERS

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MATT MORTON INTEGRITY MANAGEMENT SPECIALIST, SNC-LAVALIN Session: Accident Modelling & Investigation Bio: Matt Morton is a Principal Engineer and a Chartered Mechanical Engineer with over ten years’ experience in the Oil & Gas industry and has held senior positions in technical, project management and business management functions. Matt specialises in the optimisation and delivery of integrity management for offshore assets and has led large multi-discipline teams, both co-located and remotely, to successfully deliver against client requirements in a fast paced and challenging operational environment. Matt is actively involved in developing and evolving integrity cycle workstreams and supporting tools that help provide visibility to improve management of risk whilst aligning with our clients’ policies, procedures and existing systems. By implementing best practice and embracing digital technology, Matt has seen significant improvements in operational efficiency, enabling cost savings through streamlined prioritisation and application of a robust, targeted approach to inspection and maintenance activities.

SIMON EVANS DIRECTOR, DIGITAL ENGINEERING, SNC-LAVALIN Session: Accident Modelling & Investigation Bio: Simon Evans is the Director of Digital Engineering, a key strategic role in the global digital transformation of the company. A chartered mechanical engineer and technology developer, Simon has a passion for digital engineering and its transformational applications, regularly speaking around the world on the subject. Prior to this, Simon led the development of digital engineering for Atkins within the wider energy sector, where he was responsible for embedding digital engineering technology - from virtual and augmented reality to data analytics and robotics - into the daily work of the business. Simon's background is in the structural/mechanical design and analysis of offshore structures across the UK and Middle East, and he has received awards from the Institution of Mechanical Engineers (IMechE) in recognition of his achievements and commitment to the engineering profession.

Getting Results: How Digital Technologies Improve Worker Safety and Integrity Risk Management

Abstract: In an industry full of buzz words and vague digital agendas, getting to the heart of how technology offers improvements can be taxing. Bespoke approaches are required for different assets, companies and industries. But every approach for every job must have data at the centre. To make informed decisions in an effective manner, it is vital to ensure data is visible and traceable. Using real-world examples, SNC-Lavalin will demonstrate how digital technologies are improving visibility of risk, enhancing decision making and increasing the efficiency of the integrity cycle process without compromising safety. From work with clients around the world, we’ll show how web-based applications can manage data flow and be tailored to unique requirements. Helping you to adopt technology solutions that work alongside and integrate with existing systems, and how to use them to improve visibility - whether gathering inspection information, undertaking engineering analysis or planning for future requirements.

KEYNOTE SPEAKERS

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CARLOS SOARES PROFESSOR, UNIVERSIDADE DE LISBOA Session: Resilience Bio: Prof. Carlos Guedes Soares is a Distinguished Professor of the Engineering Faculty (Instituto Superior Técnico) of the University of Lisbon and the Head of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is a research centre of the University of Lisbon that is recognized and funded by the Portuguese Foundation for Science and Technology. He received the MSc. and Ocean Engineer degrees from the Massachusetts Institute of Technology, USA in 1976, the Ph.D. degree from the Norwegian Institute of Technology of the University of Trondheim, in 1984, and the Doctor of Science degree from the Technical University of Lisbon, Portugal, in 1991. He has supervised more than 50 PhD students and has co-authored more than 700 journal papers and several more in Conferences. He has a Web of Science h-index of 51 and more than 13,000 citations. He has been publishing in probabilistic modelling, uncertainty analysis, risk analysis and structural reliability. He is one of the 5 Founding Members of the European Safety and Reliability Association (ESRA), and has been General Secretary, Vice-Chairman and Chairman of ESRA, and is now the Editor of the ESRA Newsletter. He has been coordinating the Symposium on Structures, Safety and Reliability of the Ocean, Offshore and Arctic Engineering (OMAE) Conference since 1989 and has been Chair or Co-Chair of various conferences in the series of OMAE, ESREL, IMAM, MARSTRUCT, MARTECH and RENEW Conferences. He has been Editor (now Editor-in-Chief) of the Reliability Engineering and System Safety Journal (RESS) since 1992 and he belongs to the Editorial board of about 15 Journals. He is a Fellow of ASME, SNAME, RINA, IMarEST, Ordem dos Engenheiros and a Member of the Portuguese Academy of Engineering.

Risk and Economic Considerations in the Layout of Subsea Production Systems

Abstract: A risk assessment methodology to be applied at the design selection phase of an oilfield development. The main objective of the approach is to support the decision makers in the selection process of the development concept of an oilfield based on risk considerations. The methodology assesses the risk level of a pipeline system identifying the pipeline groups contributing the most to the risk during the operating life of the system. The risk level of the pipeline systems at the design selection phase enables the decision makers to rank the alternative scenarios in terms of risks/expected losses.

A mathematical model is proposed to integrate the optimization of an offshore production system layout. The proposed Mixed Integer Linear Programming Model can be implemented as a tool to support the decision in the conceptual design phase of the oilfield development to determine the most feasible production system architecture. The model defines the number, capacity and location of platforms and manifolds, as well as, the optimal assignment of wells to these facilities, while searching for the minimum global investment costs. The mathematical tool trades off the minimization of the pipeline length, the expansion of the platform capacity, as well as the number of installed manifolds and platforms.

KEYNOTE SPEAKERS

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HOSSAM GABBAR PROFESSOR, UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY Session: Resilience Bio: Dr. Gabbar is a full Professor in the University of Ontario Institute of Technology (UOIT) in the Faculty of Energy Systems and Nuclear Science, and cross appointed in the Faculty of Engineering and Applied Science, where he has established both the Energy Safety and Control Lab (ESCL) and Advanced Plasma Engineering Lab. He is the recipient of the Senior Research Excellence Aware for 2016, UOIT. He is leading national and international research in the areas of smart energy grids, smart and autonomous transportation, intelligent safety and control systems, advanced plasma systems and their applications on nuclear and clean energy systems. Dr. Gabbar obtained his B.Sc. degree in 1988 with first class of honor from the Faculty of Engineering, Alexandria University (Egypt). In 2001, he obtained his Ph.D. degree from Okayama University (Japan) in the area of Safety Engineering. From 2001 till 2004, he joined Tokyo Institute of Technology (Japan). From 2004 till 2008, he joined Okayama University (Japan) as a tenured Associate Professor, in the Division of Industrial Innovation Sciences. From 2007 till 2008, he was a Visiting Professor at the University of Toronto. He has more than 220 publications, including patents, books / chapters, journal and conference papers. He been invited and participated in world-known conferences and delivered plenary talks on number of scientific events and invitations to international universities. He has supervised and hosted undergraduate, graduate, postdocs, visiting researchers and scholars from different countries including Japan, India, Qatar, Egypt, Mexico, Malaysia, China, Brazil, Chile, UAE, and Colombia. He participated and led several large scale national and international projects, in Japan, China, Middle East, and Canada, related to connected autonomous vehicles, fast charging infrastructures for smart transportation, smart energy grids, intelligent control systems and safety design and operation synthesis and optimization of energy systems, micro energy grids, and integrated gas-power grids, plasma-based waste-to-energy. He proposed new integrated energy storage system based on hybrid energy storage including flywheel and battery technologies, and applied on power substations, transportation electrification, and urban infrastructures. He is the founding general chair of the annual IEEE Smart Energy Grid Engineering Conference, SEGE.

Resilient Energy Systems for Safe and Sustained Operation of Offshore and Onshore Process Industry in Harsh Environment

Abstract: This talk will present advances in research and technology development of resilient energy infrastructures for safe and sustained operation of process industry in harsh environment. The talk will address resiliency aspects of the design and operation of high performance energy systems and their integration with offshore and onshore production facilities with the considerations of process safety, reliability, availability, and operation requirements in harsh environment. This includes energy storage, off-grid mobile micro grids, and recovery systems in harsh environment. Fast charging station and infrastructures will be presented to support sustained operation of offshore and onshore process industry in harsh environment. The proposed resilient energy solutions will be examined in different normal and abnormal conditions and scenarios, including severe and emergency situations.

KEYNOTE SPEAKERS

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SIRISH SHAH EMERITUS PROFESSOR, UNIVERSITY OF ALBERTA Session: Data Analytics & Digitization Bio: Sirish L. Shah is an Emeritus Professor with the University of Alberta, Edmonton, AB, Canada, where he held the NSERC-Matrikon-Suncor-iCORE Senior Industrial Research Chair in computer process control from 2000 to 2012. He obtained his MSc degree in Automatic Control from UMIST (UK) in 1973 and PhD in Process Control from the University of Alberta in 1977. His current research interests include process and performance monitoring, system identification and design, and analysis and rationalization of alarm systems. He has coauthored three books, the first titled Performance Assessment of Control Loops: Theory and Applications, a second book titled Diagnosis of Process Nonlinearities and Valve Stiction: Data Driven Approaches, and a more recent brief monograph titled Capturing Connectivity and Causality in Complex Industrial Processes. Prof. Shah is a Fellow of the Canadian Academy of Engineering and the Chemical Institute of Canada.

Machine Learning Tools for Abnormal Situations Management

Abstract: This talk will present a new set of smart analytic tools that cohesively analyze alarm data, sensor (process) data and process connectivity information to provide a holistic view of the process and in particular help detect and diagnose root cause(s) of process faults. These data-based tools allow engineers to systematically carry out process and performance monitoring plus alarm design, rationalization and alarm flood monitoring. Such tools require one to work with numerical sensor data, binary alarm data, categorical event data plus process connectivity information. Recently updated industry standards (EEMUA 191 and ANSI/ISA 18.2) suggest that an operator should not receive more than six alarms per hour during the normal operation of the plant. This is, however, rarely the case in practice. Various studies show that the number of alarms each operator receives is far more than the standard (tens and even hundreds of alarms per hour, depending on the industry and their alarm generation policy); a majority of these are false or nuisance alarms. Too many false/nuisance alarms (alarm flooding) distract the operator from operating the plant and can bury important alarms.

State-based or condition-based alarming has emerged as a prevalent method to reduce nuisance alarms and inhibit alarm floods in the alarm management of process industries. Such a strategy minimizes the number of active alarms by modifying alarm attributes or suppression status based on certain conditions. However, the configuration of state-based alarms in practice relies on process knowledge, making it time and resource intensive. In order to identify associations between alarms and states, this talk will discuss a completely automated data-driven method to detect mode-dependent alarms from alarm and event (A&E) logs, where the messages of alarms and operating modes are stored. Algorithms to detect frequent patterns of operating modes and association rules of mode-dependent alarms will be discussed. The effectiveness and applicability of the proposed method will be illustrated by case studies involving real industrial A&E data sets. Visual analytic tools for effective information dissemination of process (sensor) and alarm data will also be discussed.

KEYNOTE SPEAKERS

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KRISHNASWAMY NANDAKUMAR PROFESSOR, LOUISIANA STATE UNIVERSITY Session: Data Analytics & Digitization Bio: Dr. K. Nandakumar is currently Gordon A and Mary Cain Chair Professor at Louisiana State University. Prior to this he was the GASCO Chair Professor at The Petroleum Institute, Abu Dhabi. Formerly he was in the Department of Chemical and Materials Engineering at the University of Alberta, Edmonton, Canada for nearly 25 years. Dr. Nandakumar received his B. Tech from Madras University in 1973, M. Sc from University of Saskatchewan in 1975 and his PhD from Princeton University in 1979. He has received the Alexander von Humnboldt research fellowship from the German government in 1989-90 and the Albright & Wilson Americas Award from the Canadian Society of Chemical Engineering in 1991 for distinguished contributions to chemical engineering before reaching the age of 40. Dr. Nandakumar was elected as Fellow of the Chemical Institute of Canada in 1991 and a Fellow of the Engineering Institute of Canada in 2006 and Fellow of the Canadian Academy of Engineering in 2007. He has received, from the University of Alberta, the McCalla Professorship (1992), the Killam Annual professorship (2001) for excellence in research and the Rutherford Award (2001) for excellence in teaching. He has also received the Excellence in Education award (2002) from APEGGA, the professional engineering association in Alberta. He was Editor-in-Chief of The Canadian Journal of Chemical Engineering during 2005-2009. Dr. Nandakumar is also the recipient of the premier award of The Canadian Society for Chemical Engineering, called the R.S. Jane Memorial Award in 2008.

Advanced Computational Models for Multiphase Flow Processes

Abstract: The manufacturing technologies of the future for converting chemicals, materials, energy, etc., will be done in efficient, distributed, modular process equipment where multiphase flows are ubiquitous. Our traditional design approach has been to rely on rules of thumb, pilot scale development and testing of process equipment which takes up to 20 years to develop a single technology. The design procedures are often highly empirical, dismissing the high degree of freedom that an engineer has at early stages of design by making ad-hoc design decisions, but pay the price during scale-up of processes through expensive pilot scale experiments. The question that I address in this presentation is “Can Advanced Computational modeling tools come to our rescue in minimizing the need for pilot scale experiments?” On the fundamental side, advanced algorithms for direct numerical simulation (DNS) and Discrete Particle Modelling (DPM) of multiphase flows aid in detailed understanding but for limited size. For dispersed rigid particles, the Navier-Stokes equations are coupled with the rigid body dynamics in a rigorous fashion to track the particle motion in a fluid. These classes of algorithms show great promise in attempting to shed light on multiphase flows from which we can extract statistically meaningful average behavior for use in the design of large scale engineering equipment. At LSU we have started an EPIC industrial research consortium that integrates multiphase flow modelling with process diagnostics, intensification studies and optimization and control as applied to the process industries. Case studies of industrial relevance will be presented to illustrate the benefits of such an approach.

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Symposium Presentations Peer-Reviewed Papers Efficient Annotation of Unlabeled Process Data by Unsupervised Learning Algorithms ........................................................... 40 Risk Analysis of Gaseous SO3 Sulfonation Reactor System based on HAZOP-LOPA .................................................................... 40 Quantitative Risk Analysis for Iron and Steel Furnace Units: Risk Calculation and Recommendations ............................41 Risk Communication in Athabasca Oil Sands Tailings Operation ...................................................................................................................41 Combining Safety Approaches to Bring Hazards into Focus: An Oil Sands Tailings Case Study .......................................... 42 Risk Assessment and Evaluation of Incident Reports in Alberta Oil Sands Tailings Operations ............................................ 42 Risk Analysis of CTV Transfer Operation Mode based on Functional Resonance Accident Model .................................... 43 Rare Event Risk Estimate: An Offshore Newfoundland Case Study ............................................................................................................ 43 Fragility Analysis of Ageing Monopile OWT Structure Subjected to Seismic Loads ...................................................................... 44 Subsea and Pipeline Life Extension Assessment....................................................................................................................................................... 44 Iceberg Disconnect Criteria for Floating Production Systems ......................................................................................................................... 45 Is it Field Level Hazard Assessment or Field Level Risk Assessment? Does it Matter? ................................................................ 45 Asset Integrity: Process, Technology, and People .................................................................................................................................................... 46 Modeling Iceberg Interaction with Subsea Pipelines.............................................................................................................................................. 46 The Impact of Idealized Geometry on the Reliability of Drag Embedment Anchors ..................................................................... 47 Reliability Assessment of Offshore Oil Well Blowout Preventer Stack ..................................................................................................... 47 Integrating Machine Learning and FRAM to Extract Best Operating Practices from Observations .................................... 48 Comparative Statistical Analysis of Simulated Ice Management Effectiveness ................................................................................ 48 Ammonia Storage Tank Failure at Di-ammonium Phosphate Plant and Lessons Learned ...................................................... 49 Experimental Analysis of Corrosion of Steel Pipelines in Harsh Marine Environment for Painted, Insulated, and Surface Exposed Pipelines ......................................................................................................................................................................................................... 49 Incineration of Carbon Disulfide for Safe Disposal .................................................................................................................................................... 50 Investigation of Cuttings Transport in Directional Drilling ................................................................................................................................... 50 Marine Accident Learning with Fuzzy Cognitive Maps (MALFCMs): A Case Study on a Maritime Accident .................51 Enhancing Harsh Environment Oil Spill Recovery Using Air Floatation System .................................................................................51 Quantitative Resilience Assessment for Process Units Operating in Arctic Environments ........................................................ 52 An Approach to Detecting Vulnerability and Resilience in Complex Operations .............................................................................. 52 Enhancing Safety through Building Adaptive Capacity in Organizational Structures of Hazardous Environments 53 Digitizing Safety Risk Assessment and its Prediction to Enable Safety at Harsh Weather Conditions ............................. 53 Structural Robustness Assessment of Offshore Platforms for Progressive Collapse Considering Different Failure Paths ............................................................................................................................................................................................................................................................ 54 Reliability Prediction of a Subsea Separator .................................................................................................................................................................. 54 Safe and Optimized Operations in Deepwater Assets using Smart Analytics & Big Data; 2 Case Studies ..................... 55 A Mathematical Approach to a Real-Time Optimization of Safety Parameters in Wireless Communication Systems ..................................................................................................................................................................................................................................................... 55 Verified Digital Controller Operating on Programming Logic Controllers for Process Control .............................................. 56 Digital Twin for The Oil and Gas Industry: Opportunities and Challenges .............................................................................................. 56 Alarm Management at NARL Refining LP Using Alarmsoft ............................................................................................................................... 57 Fault Isolation of Subsea Systems through Information Fusion ..................................................................................................................... 57

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C-RISE4; Paper 7

Efficient Annotation of Unlabeled Process Data by Unsupervised Learning

Algorithms

Shaodong Zheng1 and Jinsong Zhao1,2* 1Department of Chemical Engineering, Tsinghua University, Beijing, China 2Beijing Key Laboratory of Industrial Big Data System and Application, Tsinghua University, Beijing, China

*corresponding author: [email protected]

Abstract – With the rapid development of modern chemical industry, process safety management has become an issue

we must pay attention to, including states identification and fault detection and diagnosis (FDD). Most of the data in the

real world are unlabeled, and annotating those data artificially is error-prone and high cost. In this paper, we aim to

annotate the unlabeled data by machine learning algorithms, and thus we can efficiently obtain labeled data for FDD or

other supervised learning-based study. Unsupervised learning algorithms are used to deal with unlabeled data. Feature

extraction and clustering are two main steps of unsupervised learning. In the aspect of feature extraction, there are many

limitations in the use of multivariate statistical methods, while deep neural networks have a better ability of learning

representations. A convolutional auto-encoder (CAE) is used in this research to extract features, which are then

visualized by t-SNE algorithm. In terms of clustering, density-based spatial clustering of applications with noise

(DBSCAN) algorithm, which is a density-based clustering algorithm performs well here. The dataset studied is obtained

from Tennessee Eastman process (TEP). After the unsupervised learning, the experts only have to annotate several

samples to give all data right labels.

C-RISE4; Paper 8

Risk Analysis of Gaseous SO3 Sulfonation Reactor System based on HAZOP-

LOPA

Kun Chen1,2*, Xin Wei 1, Dehuan Lliu 1 and Faisal Khan2 1Chongqing University of Science and Technology, Chongqing 401331, China 2Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering and Applied Science, Memorial

University of Newfoundland, St. John's, NL A1B 3X5, Canada *corresponding author: [email protected]

Abstract – Based on the analysis of the deficiencies of HAZOP，it is presented that the integration of HAZOP with

LOPA can obtain the HAZOP-LOPA evaluation method, which can further reduce the risk level of the sulfonated reaction

system. For the analysis of the sulfonation reactor system in the gaseous SO3 sulfonation process, in the analysis process,

the HAZOP method is first used to identify and analyze the accident risk existing in the system. The deviation analysis

shows that the temperature of the sulfonation reactor system is easily out of control and the conversion efficiency is too

low. Further use of layer of protection analysis, reactor system after the failure in cooling water temperature too high for

the initial event, the analysis of failure consequences and calculate the probability of accident consequences, and to

assess the risk level of the existing protection value. The inherent risks and residual risks determine the risk control

measures that can be taken to bring the risks into control. The results show that the HAZOP-LOPA evaluation method

can quantify the risk and improve the effect of safety analysis. It is an effective method to improve the accuracy and

science of risk assessment results.

Risk in Harsh Environment

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C-RISE4; Paper 10

Quantitative Risk Analysis for Iron and Steel Furnace Units: Risk Calculation

and Recommendations

Meftah Abuswer,1* and Paul Amyotte2 1Department of Chemical Engineering, College of Technical Science, Misurata, Libya 2Department of Process Engineering & Applied Science, Dalhousie University, Halifax, Canada


Abstract - Quantitative risk assessment should be carried out to measure the risk magnitude for any processing unit,

especially when the risk includes factors such as chemical reactions, high pressure, high temperature, toxic gas, and

heavy machinery. Risk control measures should then be applied as needed until both individual and societal risk

magnitudes reach the international acceptable value (≤ 0.001). In this paper, a quantitative risk management procedure

is applied to three iron furnace units at the Libyan Iron & Steel Company (LISCO). All data used in the study are taken

from LISCO accident record files. The areas around the furnaces are classified into three circle zones (A, B and C)

relating to the number and severity of accidents that occurred in each zone. Risk analysis (i.e., accident impact and

frequency) is then determined for each zone. The results show high-risk magnitude in areas A and B, with significantly

less risk magnitude in area C. Several safety control measures have been recommended for immediate application to

reduce the number and severity of future accidents.

C-RISE4; Paper 45

Risk Communication in Athabasca Oil Sands Tailings Operation

Kathleen E. Baker1*, Renato Macciotta1, Michael T. Hendry2 and Lianne M. Lefsrud1 1School of Engineering Safety and Risk Management, University of Alberta 2Civil and Environmental Engineering, University of Alberta


Abstract – Oil sands operations involve many working groups, which can result in communication silos that make

effective risk communication challenging. Workers are also directly at risk when they encounter conditions that contain

hazards they are not equipped to identify and control. This is illustrated by fatalities in the oil sands related to unseen

ground hazards at tailings storage and transport facilities. This research asked how gaps in communication between

different working groups can be identified and how information about risks can be effectively disseminated to workers

who interact with these facilities. Using ground hazards as a case study, we analyzed four datasets to identify areas for

enhanced risk communication. The aim was to determine the hazards that workers see on the job site and compare their

responses to tailings safety experts, geotechnical analysis, and recorded incidents. This will allow for the design of

effective risk communication strategies at oil sands tailings operations. Traditional risk communication principles to

disseminate information to external stakeholders will be applied to an internal audience of workers in tailings operations.

The aim is to enhance the dialogue regarding risks across the organization. This will be done by increasing the

knowledge and understanding of ground hazards in oil sands tailings operations, resulting in the invisible becoming seen

and the risk tolerance among workers being lowered.


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C-RISE4; Paper 46

Combining Safety Approaches to Bring Hazards into Focus: An Oil Sands

Tailings Case Study

Kathleen E. Baker1*, Renato Macciotta1, Michael T. Hendry2 and Lianne M. Lefsrud1 1School of Engineering Safety and Risk Management, University of Alberta 2Civil and Environmental Engineering, University of Alberta


Abstract – At least 50 hazardous occurrences associated with tailings facilities occurred in the Canadian mining

industry from 2000 to 2014. Further investigation revealed a dearth of information on worker safety around tailings

storage and transport facilities. Workers at oil sands tailings operations are exposed to hazards including loss of

containment and line of fire. These are the same hazards that manifest in traditional process industries, with the notable

differences between traditional process industries and tailings operations being the frequency of incidents, pressures,

volumes, and temperatures. The hazardous incidents and lack of literature illustrate the need for increased attention to be

paid to worker safety at oil sand tailings operations as well as enhancements to current hazard identification tools.

Process Safety Management tools such as Bow Tie diagrams can be applied to tailings operations to visually identify

unwanted events (process and occupational health and safety related), potential threats, consequences, and controls used

to prevent incidents from occurring. They also serve as a tool for continuous improvement and show any over-reliance on

one type of control, such as administrative controls or personal protective equipment. This research combines safety

approaches using the Bow Tie analysis of seven hazardous operational activities in the oil sands tailings operations as a

case study. The impact of behavioural safety on the controls is also analyzed. Through this research, the authors

facilitated the sharing of tailings safety best practices among oil sands operators and regional contractors.

C-RISE4; Paper 82

Risk Assessment and Evaluation of Incident Reports in Alberta Oil Sands

Tailings Operations Daniel Kurian1*, Yongsheng Ma1and Lianne M. Lefsrud2 1Mechanical Engineering, University of Alberta 2School of Engineering Safety and Risk Management, University of Alberta


Abstract – Many companies maintain large databases of incident reports, which are collected over many years. These

reports tend to be stored in databases, with some descriptive analysis, but not in-depth examination of trends or leading

indicators. We ask: How can incidents be reported more accurately, aggregated, and analyzed across companies to better

understand, prevent, and mitigate risks. Our aim is to create a risk matrix system for aggregating incident reports,

commensurate across companies, for increased reliability in reporting and enhanced analytical power across an industry.

This will support the design of more sensitive risk prevention and mitigation strategies. Our objective is to create a system

that will automatically categorize and evaluate the risk when an incident is reported. This will create a consistent system

to identify trends and leading indicators within incidences, across an entire industry.


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C-RISE4; Paper 4

Risk Analysis of CTV Transfer Operation Mode based on Functional Resonance

Accident Model

Jinqiu Hu and Jingjing Tang* College of Safety and Ocean Engineering, Laboratory of Oil and Gas Production Safety and Accident Prevention and

Control, China University of Petroleum, Beijing, 102249, China


Abstract – Floating production storage unit + Cargo Transfer Vessel (CTV) + ordinary tanker” new offloading

operation can greatly increase the economic benefits of deep-sea crude oil transfer. However, CTV transfer operation is a

high-risk process in which multiple risk factors are tightly coupled. Traditional risk analysis methods only consider the

accident as an orderly occurrence of single event or superposition of potential factors. To systematically identify the risk

factors and key operational aspects, functional resonance accident model (FRAM) was used for risk analysis of the CTV

transfer operation from the system perspective. The human factors, technical factors, and organizational factors are

identified based on common performance conditions of FRAM. Functional performance changes are evaluated to

determine the key operations. And prevention and control barriers against accidents have been established. The results

show that the CTV approach and offloading phases are the key operational aspects for high collision and leakage

probability.

C-RISE4; Paper 21

Rare Event Risk Estimate: An Offshore Newfoundland Case Study

Mohammad Arif*, Faisal Khan, Salim Ahmed and Syed Imtiaz Centre for Risk, Integrity and Safety Engineering (C-RISE), Memorial University of Newfoundland, St. John’s, Canada


Abstract – The white rose is a vital oil production area for the offshore oil industry but due to the geographical location

(iceberg allay), every year icebergs are visible on this area and might be a high risk for the offshore drilling operations.

Icebergs are different in size and shape. In this research, the large iceberg speed computation problem contemplate as a

rare event. The classical statistics fail, and even the Block Maxima based Generalized Extreme Value, or Peak Over

Threshold based Generalized Pareto Distribution techniques are not adequate to the model such an event. As an

alternative, this rare event problem considers as a heavy tail event, and the tail index estimates through Hill and

SmooHill estimator. Maximum Likelihood Estimate (MLE) and Probability Weighted Moment approaches are used to

determine the model parameters. Finally, uncertainty is evaluated using model parameters and return level.


44



C-RISE4; Paper 32

Fragility Analysis of Ageing Monopile OWT Structure Subjected to Seismic

Loads

Baran Ali Sir Yeter, Mesut Tekgoz, Yordan Garbatov*and Carlos Guedes Soares Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa,

Portugal


Abstract – The present work aims to analyze the fragility of a 5MW monopile offshore wind turbine structure subjected

to seismic activities accounting for soil interactions and time-variant structural degradation. The structure is subjected to

different ground motions with different intensity. The nonlinear full-transient dynamic structural analysis is performed

based on the finite element method, and the nonlinear monopile structural response during the seismic activity is

discussed. Finally, the fragility curves associated with the serviceability limit state design and the ultimate strength limit

state are developed. C-RISE4; Paper 47

Subsea and Pipeline Life Extension Assessment

Premkumar Thodi*, Tony King and Freeman Ralph C-CORE, Capt. Robert A. Bartlett Building, St. John’s, NL A1B 3X5, Canada


Abstract – Extended operation of subsea systems and pipelines beyond their design life is anticipated when recoverable

hydrocarbons remain or when additional assets are integrated into existing infrastructure. Life extension is the additional

period of time beyond the original design or service life for which the permission to continue operation is granted by

regulatory bodies. Remnant life is the assessed period of time for which the assets can be operated safely considering age-

dependent degradation mechanisms, such as corrosion and fatigue. The design life of offshore Newfoundland & Labrador

assets, such as Terra Nova, SeaRose and Hibernia ends in year 2022, 2025 and 2027, respectively. The life extension

process starts with technical review, collection and analysis of integrity data followed by risk assessment, and ends with

assessed remnant life. The assessed remnant life governs the allowable life extension. This paper reviews the state-of-the-

art subsea and pipeline life extension assessment methodologies and models, codes and standards, followed by a

technology gap analysis and presents a generic model for harsh environment applications. The probabilistic model

discussed would consider a target/acceptable reliability based on codes and standards that help operators in life

extension decision making and regulators in permit approvals.


45



C-RISE4; Paper 63

Iceberg Disconnect Criteria for Floating Production Systems

Mark Fuglem*, Paul Stuckey, Yujian Huang, John Barrett, Jan Thijssen, Tony King and Freeman Ralph C-CORE, St. John’s, Newfoundland and Labrador, Canada


Abstract – In designing a floating offshore production system to operate in a region with risk of impacts from icebergs,

the effectiveness of management and avoidance of detected icebergs may be considered when determining design ice

loads. Management can include deflection of encroaching icebergs through towing or use of water cannon. Avoidance

would typically consist of disconnecting the floater and moving off site for cases when an iceberg cannot be managed, but

could also include moving off site for periods with high numbers of icebergs. There may be grounds for remaining on site

in certain cases (e.g., small icebergs in low sea states) if it can be clearly demonstrated that there are no serious risks.

This paper discusses issues involved when determining guidelines for remaining on site, including relevant standards and

limits states, trade-offs between ice strengthening and operational requirements, and considerations when presented with

a threat by a specific iceberg and set of environmental conditions. A probabilistic approach is presented for establishing

operational criteria for disconnection that will still ensure target reliabilities with respect to iceberg impact loads are

achieved.

C-RISE4; Paper 81

Is it Field Level Hazard Assessment or Field Level Risk Assessment? Does it

Matter?

Mike Doyle Suncor Energy


Abstract – When you are operating an offshore installation and your management and support team is onshore this can

offer unique challenges. What hazards are present day to day? What is our Field Level Risk profile? To answer these

questions you need to ensure your workforce understands the difference between “Hazard” and “Risk”. The human

factor plays a pivotal role, as Risk is often about individual perception. This presentation will show how Suncor’s East

Coast operations have used Hazards to develop their visual Field Level Risk Assessment. This intelligence has allowed

both onshore and offshore to have new visibility into Risks both by location on the installation and by primary causes. In

this presentation we will share how the clarification between Field Level Risk Assessment and Field Level Hazard

Assessment led to our offshore operations achieving Zero Recordable injuries in 2017. We will also share practical front-

line risk management tools and processes, with an example to further demonstrate this. In 2017, a passenger inbound to

Terra Nova by helicopter identified a problem with the Flare Tip. He had been trained to report the Hazard, following

which the process was able to determine the Risk.


mailto:[email protected]

46



C-RISE4; Paper 13

Asset Integrity: Process, Technology, and People

Thumeera R. Wanasinghe1*, Bui Petersen1, Raymond G. Gosine1,2, Lesley Anne James1, George K. I. Mann1,

Oscar de Silva1and Peter Warrian2 1Faculty of Engineering and Applied Science, Memorial University of Newfoundland, Canada 2Innovation Policy Lab, Munk School of Global Affairs and Public Policy, University of Toronto, Canada


Abstract – Within oil and gas (O&G) operations, the assessment and maintenance of asset integrity is key to enhancing

productivity while reducing the health, safety and environment (HSE) risks and facility downtime. A range of surveillance,

inspection, and maintenance activities are required to ensure that equipment and systems installed on O&G platforms

(facilities) are maintained to safe level and comply with all mandatory codes and regulatory and environmental

requirements for the applicable operating jurisdiction. Emerging digital technologies will change the traditional

approaches to inspection, surveillance, maintenance, risk assessment, and risk mitigation. The introduction of digital

technologies has the potential to decrease the HSE risk, while reshaping the asset integrity management process and the

structure and distribution of the labour force. This review article outlines the general workflow of asset integrity

management, summarizes the digital technologies currently being applied and piloted, and discusses the opportunities,

challenges, and potential digital technology solutions. Additionally, decisions associated with asset integrity management

and the roles of the people involved in decision making are also discussed. Finally, potential impacts on the labour force

from digitalization and the role of regulation within the digitalization initiatives is presented.

C-RISE4; Paper 42

Modeling Iceberg Interaction with Subsea Pipelines

Tony King C-CORE, St. John’s, Newfoundland and Labrador, Canada


Abstract - Continued hydrocarbon development on the Grand Banks will require the use of additional pipelines for

intrafield development as well as the development of extended tie-backs with pipeline lengths in excess of 10 km. The

current practice is to lay pipelines on the seabed, where there is risk of contact with free-floating and gouging icebergs. If

the pipeline is considered sacrificial and the associated environmental risk satisfies acceptable levels, then the primary

risk associated with iceberg contact with a pipeline are the loads transmitted to facilities at the end of the pipeline. A

process for assessing these loads is presented.

Reliability & Asset Integrity


47



C-RISE4; Paper 68

The Impact of Idealized Geometry on the Reliability of Drag Embedment

Anchors

Amin Aslkhalili* and Hodjat Shiri Faculty of Engineering and Applied Science, Memorial University of Newfoundland


Abstract – Drag embedment anchors combined with different types of mooring lines are widely used for station keeping

of floating systems as a simple and economical solution. These anchor families could be used as a temporary or

permanent anchoring solution. By increasing the number of accidents induced by the failure of mooring system, the

importance of reliability analysis of these system has been emphasized by the industry. The reliability assessment of

anchors as the key element of the mooring system has attracted the attention of researchers over the past decade. Drag

embedment anchors have a complex geometry which is idealized in the analytical solutions used in reliability analysis of

these anchor families. This idealization process may affect the reliability level of these efficient anchoring solutions. In

this study, the effect of idealized geometry on ultimate holding capacity and consequently the reliability index has been

investigated through an analytical approach. The mooring line tensions were obtained through finite element analysis of

the vessel. Different idealization methodologies were examined to investigate how they affect the probability of failure

and the reliability index. The study showed that the geometrical idealization might significantly affect the anchor

performance and consequently the reliability index. Depending on different idealization methodologies, the ultimate effect

may appear in the form of improvement or deterioration of the reliability index. The study revealed several aspects in the

analytical calculation of drag embedment anchors holding capacity that need further improvement in future studies.

C-RISE4; Paper 79

Reliability Assessment of Offshore Oil Well Blowout Preventer Stack

Yaqi Yang*, Hao Deng and Xin Cheng Memorial University of Newfoundland, Canada


Abstract – As the development of the extraction of oil gradually improves, the development of offshore oil is receiving

more and more attention from various countries. For offshore drilling and processing platforms, the blowout preventer

(BOP) stack is a critical component for safe subsea operations. If the BOP stack fails, it may cause a blow-out accident

which will cause serious casualties and property damage. Therefore, the reliability analysis of the blowout preventer

stack is essential. This study proposes a procedure for analyzing the reliability of the BOP stack. The Fault Tree Analysis

(FTA) was the method used in this study for the analysis. Both deterministic and probabilistic methods were used to

assess the failure probability of the BOP stack. When conducting the probabilistic method, the normal distribution and

the exponential distribution were set to model the probability distribution of each basic event. Through the Monte-Carlo

simulation using @Risk software and GRIF software, the failure probability of the top event can be obtained. Through the

comparison between the result obtained from different methods and even different PDF, a more comprehensive reliability

assessment of BOP stack can be obtained.



48



C-RISE4; Paper 60

Integrating Machine Learning and FRAM to Extract Best Operating Practices

from Observations

Mashrura Musharraf*, Doug Smith, Brian Veitch and Faisal Khan Memorial University of Newfoundland, Canada


Abstract – Some marine operations can be impeded by sea ice, necessitating ice breaking and ice clearing operations.

For example, in the offshore industry, pack ice sometimes has to be cleared away from petroleum installations in order to

ensure the full functionality of the operating system. A case in point is the ice management operation used to clear sea ice

away from a petroleum installation to ensure the availability of its evacuation systems. Controlled experiments using a

marine simulator show that experience of personnel has a significant impact on ice management performance. Even in

the same conditions, different personnel employ different strategies, and some strategies are demonstrably more effective

than others. Data from such experiments are a great source of observational learning. Using advanced machine learning

(ML) techniques to tap into these data, we can identify and capture the best practices of ice management operations,

which can subsequently be used to inform applications, such as decision support systems. However, observational data of

human performance often come in formats that are difficult for the ML algorithms to process. For the data to be

understandable and meaningful to the machine learning algorithms, effective preprocessing and key feature extraction

are essential. This paper investigates how the FRAM technique can facilitate data preprocessing and feature extraction.

The aims are to identify a data format that can be easily processed by ML algorithms, a data granularity level that

captures the salient features of the operation, and the key decisions that shape personnel’s ice management strategies.

C-RISE4; Paper 80

Comparative Statistical Analysis of Simulated Ice Management Effectiveness

Amy Price*, Maria Yulmetova and Sarah Khalil Memorial University of Newfoundland


Abstract – Due to the substantial growth of the oil and gas industry in the Arctic, ice management becomes critical for

safe and efficient operations in ice-covered waters; thus it is important to understand the impact of various levels of

experience on human factors and its influence on effective ice management performance. This study evaluates the

uncertainties of simulated ice management effectiveness of two groups, cadets and seafarers. The ice management

effectiveness is represented by the “clearing-to-distance ratio” that is, the ratio between the area of cleared ice (km²) and

the distance travelled by an ice management vessel (km). The data was obtained from the recent study conducted by

Memorial’s “Safety at Sea” research group. Since the distribution fitting analysis conducted in this work provides

inconclusive results regarding the normality of the data, the confidence intervals of the dataset means are obtained using

both a parametric approach, such as t-test, and resampling or non-parametric methods, namely Jackknife and Bootstrap.

The comparison of the obtained confidence interval results demonstrates that the mean efficiency of the cadets is more

consistent, while it is more varied among seafarers. The noticeable difference in ice management performance between

the cadet and seafarer sample groups is revealed, thus proving that crew experience positively influences ice management

effectiveness.



49



C-RISE4; Paper 61

Ammonia Storage Tank Failure at Di-ammonium Phosphate Plant and Lessons

Learned

Shoukat Choudhury* and AKMA Quader Bangladesh University of Engineering & Technology (BUET), Dhaka-1000, Bangladesh


Abstract – The sudden failure of an above ground atmospheric cryogenic ammonia day tank with a name plate capacity

of 500 ton in the Di-ammonium Phosphate Plant 1 (DAP-1) at Rangadia, Bangladesh on the night of August 22, 2016

was a wake-up call for all Bangladeshi plants operating cryogenic ammonia storage tanks whether atmospheric or

pressurized. Approximately 340 t of ammonia contained in the tank was released into the dyke surrounding the tank.

There was no fatality. About 50 people received medical attention for reported breathing difficulty. The tank with all its

piping, valves and instruments was damaged beyond repair and the plant shall be required to erect a new tank system.

Investigations into the failure of the tank attempted to determine the causes and fix responsibilities. It is likely that the

conjoint of all causes such as stress corrosion cracking (SCC), overpressure and ignorance of the plant personnel led to

the catastrophic failure. Human factor was also largely responsible for the accident. Not every question related to failure

has been answered. This paper presents an in-depth investigation of this accident and attempts to identify different lapses

and issues that directly and indirectly contributed to the accident. Lessons learned from the accident have also been

shared.

C-RISE4; Paper 65

Experimental Analysis of Corrosion of Steel Pipelines in Harsh Marine

Environment for Painted, Insulated, and Surface Exposed Pipelines

Alan Hillier, Faisal Khan, John Shirokoff* and Susan Caines Faculty of Engineering and Applied Science, Memorial University of Newfoundland


Abstract – Steel pipelines are vital for transporting essential materials. Corrosion, especially localized, on pipelines

poses economic and environmental risks. Marine environments increase corrosion rates due to moisture, catalysts that

increase electrochemical reactions, elements like chloride that increase localized pitting rates, and other factors. Thirty-

six model pipelines were placed at Argentia, NL near high tide mark. The experiment involved coated and uncoated pipes

that were insulated to investigate differences. Mass loss, optical inspection, and pit depth were recorded at intervals.

Variations in pipeline corrosion on exposed surfaces are discussed. The research results provide an increased

understanding of corrosion and pitting for pipelines with coating and insulation in service in harsh marine environments.



50



C-RISE4; Paper 83

Incineration of Carbon Disulfide for Safe Disposal

A.K.M.A. Quader Bangladesh University of Engineering & Technology (BUET), Dhaka-1000, Bangladesh


Abstract – An incineration facility was planned, designed, constructed, commissioned and operated to dispose carbon

disulfide (CS2) left in sixteen storage tanks and different vessels of CS2 plant of the closed Karnaphuli Rayon Complex

(KRC) since February 1997 at Chandraghona in Bangladesh. The process is based on combustion of CS2 with excess air

followed by scrubbing of combustion products with water in two absorption towers arranged in series. The sulfurous acid

bearing streams were mixed and neutralized with a large alkaline stream being discharged by the paper mills there. The

processing of 182.17 tons CS2 was carried out during the period April 1 through September 16, 2008. The presence of

SO2 in the plant air was less than 0.10 ppm. This is a success story of indigenous endeavor involving university-industry

interaction for meeting an engineering challenge by applying basic principles in a simple way for avoiding an impending

environmental disaster from spillage of CS2 in the event of failure of storage tanks.

C-RISE4; Paper 27

Investigation of Cuttings Transport in Directional Drilling

Mohammad M. Huque*, Stephen Butt, Sohrab Zendehboudi and Syed Imtiaz Memorial University of Newfoundland


Abstract – The success of a drilling operation mainly attributed to an efficient hole cleaning. An improper hole cleaning

may lead to several drilling problems such as differential sticking, lost circulation, reduced rate of penetration, excessive

torque and drag, rapid bit wears etc., especially in horizontal and inclined well. Often these problems become more

severe due to the inaccessibility in the problematic zone. A sophisticated multiphase modelling technique enables to

investigate the flow behaviour in the annular section. This study employs computational fluid dynamics tools to

investigate influence of different operating parameters on drilling performance in directional drilling. This study

identifies that inclined wells are more susceptible to cuttings transport problems compared to the vertical and horizontal

well. Further, inclination range of 30ᵒ to 60ᵒ from vertical orientation is more vulnerable to cuttings bed formation than

other orientation. Drill pipe rotation and mud velocity show a positive effect in hole cleaning; however, for certain

orientation, combined effect of drill pipe rotation and high mud velocity are required for efficient hole cleaning.



51



C-RISE4; Paper 38

Marine Accident Learning with Fuzzy Cognitive Maps (MALFCMs): A Case

Study on a Maritime Accident

Beatriz Navas de Maya* and Rafet Emek Kurt University of Strathclyde *corresponding author: [email protected]

Abstract – Aiming to improve maritime safety, there is a need for a practical method that is capable of identifying the

importance weightings for each contributing factor involved in accidents. Hence, Marine Accident Learning with Fuzzy

Cognitive Maps (MALFCM) incorporated with Bayesian networks is suggested and applied in this study. MALFCM

approach is based on the concept and principles of Fuzzy Cognitive Maps (FCMs) to represent the interrelations amongst

accident contributor factors. Hence, in this study, grounding/stranding accidents were investigated with the proposed

MALFCM approach. As a result, inadequate leadership and supervision, lack of training and unprofessional behavior

was identified as the most probable causes of grounding accident. In addition, in the accident scenario analysis, it was

observed that the lack of safety culture contributed most to the system failure based on the posterior to prior failures

ratio.

C-RISE4; Paper 48

Enhancing Harsh Environment Oil Spill Recovery Using Air Floatation System

Vandad Talimi1*, Premkumar Thodi1, Majid Abdi2, Robert Burton1, Lei Liu1 and Jonathon Bruce1 1C-CORE 2M. A. Procense


Abstract – Recovering heavy oil spilled in harsh environment is challenging especially when dealing with cold marine

environment, ice in water and high sea states. The current technology is based on removing oil from the water surface

while a significant amount of oil particles could remain in the water column due to turbulent ocean condition and the

density of heavy oil. Therefore, in order to enhance the mechanical recovery of heavy oil spill, capturing those oil

particles dispersed in water column are very important. It has been observed that air bubbles can create an upward water

flow and thus enhance the flotation of heavy particles. The oil floating at surface can then be removed using conventional

skimmers. The present paper focuses on developing a lab-scale test program and Computational Fluid Dynamics (CFD)

simulation for an enhanced oil spill recovery system and presents the preliminary test results performed at C-CORE. Both

stationery and advancing modes of the oil spill recovery system with attached air diffusers were tested. Preliminary test

results indicate that the heavy oil recovery rate can be significantly improved by using air bubbles for oil flotation.


52



C-RISE4; Paper 20

Quantitative Resilience Assessment for Process Units Operating in Arctic

Environments

Altyngul Zinetullina and Ming Yang* Department of Chemical and Materials Engineering, School of Engineering, Nazarbayev University, Astana, Republic of

Kazakhstan


Abstract – The Arctic is known for its abundant reserve for natural resources. Last decade has seen some exploration

and production activities in this region. The assurance of safe operations in this region is a critical and challenging task

because of the harsh environment, the remoteness of operation sites, the limited infrastructure and resources available in

response to emergent situations, the application of costly equipment and facilities, and the sensitive marine environment.

For complex process systems operating in harsh environment, the scope of conventional risk assessment is not enough

because of the high uncertain environment and its impacts on equipment performance. Risk assessment needs to be

extended to include both the pre-failure and the post-failure phases. Additionally, risk assessment approaches under

normal operating and environmental conditions may not be applicable in the Arctic regions with unique and uncertain

characteristics of the harsh environment. Therefore, this study aims to develop a quantitative resilience assessment

method for process units operating under Arctic extreme conditions. Dynamic Bayesian network (DBN) will be applied to

represent the probabilistic relationships between causes and effects in a dynamic manner. The proposed method will be

applied to the resilience assessment of a separator (as part of the oil production system). The proposed approach will be

helpful to reveal the critical operating parameters under extreme conditions for process units. It also helps to identify

potential design improvement to enhance process safety.

C-RISE4; Paper 44

An Approach to Detecting Vulnerability and Resilience in Complex Operations

Doug Smith*, Brian Veitch, Faisal Khan and Rocky Taylor Faculty of Engineering and Applied Science, Memorial University of Newfoundland


Abstract – Assessing a complex socio-technical system in terms of its resilience is difficult, in part because the inner

workings of such systems can be opaque, and partly because resilience can be hard to quantify. In this paper, we present

an approach that combines a method for mapping complex systems with a method for tracking system performance over

time. The result is a qualitative-quantitative approach to assessing complex systems. The mapping method is based on the

FRAM introduced by Hollnagel (2012), which maps an operation’s activities and tracks variability in the outputs of those

activities. By extending the original framework of the FRAM to track dynamic variability in operations, we have

developed the concept of functional signatures. Functional signatures represent the functional patterns that unfold during

any event for that operation. This method does provide a window for assessing the inner workings of complex operations,

but it does not provide a framework for quantification. To address this gap, we have adopted Ayyub’s (2014) proposal to

use measures of system performance as a basis to add a quantitative element to system resilience, although this alone

does not provide information about where sources of resilience or vulnerabilities may be located within the system. The

integration of these methods yields a way to detect sources of vulnerability, robustness, and resilience within a system, as

well as quantify their impact on the operation’s performance.

Resilience

53



C-RISE4; Paper 49

Enhancing Safety through Building Adaptive Capacity in Organizational

Structures of Hazardous Environments

Vahid Salehi* and Brian Veitch Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, Canada


Abstract – Resilience engineering (RE) is capable of handling disruptive events and controlling their consequences in

hazardous environments such as petrochemical plants. This study aims at identifying effective factors for building

adaptive capacity in organizational structures at different levels of management. The data of this study were obtained

through direct observation and a structured questionnaire in a petrochemical plant. Data envelopment analysis (DEA),

which is a mathematical approach, was used in order to compute and analyze the role of the factors contributing to

adaptive capacity. The results indicated that management commitment played a central role at enhancing adaptive

capacity in all management levels. Both middle management and low-level management emphasized the importance of

reporting safety issues, whereas top-level management considered flexibility as a vital factor in managing disruptions and

reducing accidents. The findings of this study could be useful for managers and other decision-makers to improve safety

in complex systems.

C-RISE4; Paper 6

Digitizing Safety Risk Assessment and its Prediction to Enable Safety at Harsh

Weather Conditions

Amit Bhowmik*, Ravishankar Kandallu and Ashish Chandola Tata Consultancy Services Limited, India


Abstract – Extreme cold working conditions of arctic not only affects the operations but also pose a severe threat to the

safety of personnel working under such harsh environments. Arctic operations expose workers to extremely cold and

windy conditions that put them under risk of health related harm if proper protective measures are not taken. Although

government regulators and organizations like OHSA have a major role to play in both regulating and influencing the

safety of workers, it is incumbent upon the employer to ensure the standards are not only met but proactive measures are

taken to avoid any befalling risk leading to Cold Weather Injuries and Illness. However, at a micro-level, where scarcity

of relevant safety data is even more prominent, preempting each employee from these risks is a major challenge. This

paper presents a safety framework to capture the extreme cold weather Occupational Health and Safety hazards and

associated Risk parameters to effectively perform a Risk Assessment. The paper also presents the positive affect of

technology and digitization on the Behavior Based Safety and develops an approach towards building a risk based

correlational model using leading safety indicators to predict risk and prevent injuries. This digital framework supported

by ML entails a risk-based model to preempt injuries and provides intelligence on ensuing safety risks based on lag and

lead indicators.

Resilience

54



C-RISE4; Paper 57

Structural Robustness Assessment of Offshore Platforms for Progressive Collapse

Considering Different Failure Paths

Hong Lin *, Lei Yang and Bao Qi China University of Petroleum, Qingdao 266580, China


Abstract – Accidental events may normally cause a chain of local damages of offshore platforms and eventually result

in an overall collapse of the platform structures, which expose the structural vulnerability in resisting non-proportional

failure. In addition, due to the redundancy of structure and the uncertainty of failure response, there may exist a series of

different potential failure paths for the offshore platforms. Therefore, in order to more comprehensively quantify the

robustness of offshore platforms under different failure path, this paper proposed a novel path-dependent robustness

index RI based on structural reliability at different damage state. Furthermore, by using weighted approach we proposed

dynamic robustness index RP and comprehensive robustness index RW to evaluate the structural robustness from different

viewpoints. Through simulation, all possible failure paths were sought out and the most likely failure sequence was

identified by using the generalized bearing-capacity-ratio method combined with the incremental loading method.

Robustness analysis results show that the robustness differences of different failure path are significant, and the results

indicate that although the accidental events occurring in the small probability path but its impact on the structural

robustness is serious so it should be paid more attention. Besides, the robustness analysis results also show that the

reinforcement could significantly improve the structural robustness and achieve the goal of robustness control.

C-RISE4; Paper 84

Reliability Prediction of a Subsea Separator

U. Bhardwaj, A.P. Teixeira and Carlos Guedes Soares * Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa,

Portugal


Abstract — This paper estimates the failure rate of a subsea separator based on data available for a similar, known,

topside equipment. First, the failure modes and failure causes of the subsea separator as well as its main reliability

influencing factors are identified. Then, a reliability prediction method is illustrated stepwise to estimate the total failure

rate of the subsea separator. Reliability data from OREDA (Offshore and Onshore Reliability Data) are used to

demonstrate the method and for comparing the failure rates of the topside and subsea separators. Finally, a parametric

study is conducted to show the effect of variation of topside failure rate on the estimated failure rate of the subsea

separator. It is expected that the application of the reliability prediction method will help in understanding the field

performance of the subsea separators. This study could be further extended to predict the reliability of other subsea

equipment.

Resilience

55



C-RISE4; Paper 85

Safe and Optimized Operations in Deepwater Assets using Smart Analytics & Big

Data; 2 Case Studies

Karl McManus*, Jason Payne and Ronan O’Malley Wood Plc


Abstract –Are deepwater offshore operators using all their available data to demonstrate safe operations and manage

risk? Wood have developed applications to provide Prognostics (Predictive Fault detection) and asset offline Emergency

Shutdown (ESD) analysis. Using supervised and unsupervised machine learning (ML) and human in the loop

classification, our engineering teams have reduced risk, proven process safety assurance and reduced OPEX. The

following two case studies demonstrate how Wood has created in-house developed solutions to manipulate big data to

support client operations. The first case study involves utilising shutdown events for data gathering and condition

assessment. The driver for this study is to enable quick review and diagnosis of critical process safety barriers in on

demand scenarios. The second case study demonstrates early prediction of the condition of key production equipment

(actuators in large oil producing deepwater fields) using sensor data and machine learning models.

C-RISE4; Paper 35

A Mathematical Approach to a Real-Time Optimization of Safety Parameters in

Wireless Communication Systems

Larissa Gaus*, Michael Schwarz and J. Boercsoek Department of Computer Architecture and System Programming, University of Kassel, Germany


Abstract – This paper presents an approach to a realtime optimization of safety parameters in wireless communication

systems. Considering the GEC–model and the black channel design of communication channel, then PFH can be

estimated using parameters ε – BER (biterror-rate), 𝜑 –BLR (bit-loss-rate), R – bitrate, n –code block length and dmin –

minimum distance of a linear code. The bitrate R and the code block length n, including the information block k and the

checksum block r, can be varying between the permissible bounds. Accordingly, the variable parameters can be adjusted

at run - time with additional assimilation of the used cyclic code. It allows the real-time prediction and optimization of the

safety parameters. Here the concept of the parameter estimation is discussed and based on it the optimization problem is

defined.


56



C-RISE4; Paper 37

Verified Digital Controller Operating on Programming Logic Controllers for

Process Control

Michael Schwarz * and J. Boercsoek Department of Computer Architecture and System Programming, University of Kassel, Germany


Abstract – This paper presents a developed framework for reliable model-based design. Various controller models were

designed and evaluated, in such a way that they can be executed on programmable logic controllers (PLC). Different test

scenarios have the controllers to pass before they can be downloaded onto the PLCs. Different controller structures were

revised and designed as model-based models and they were combined to a controller toolbox. The developed framework

guides the developer through the different stages of the design. The pre-evaluated controllers should help to speed up the

design. New features that are and will be developed and implemented in the new future will also be discussed.

C-RISE4; Paper 12

Digital Twin for The Oil and Gas Industry: Opportunities and Challenges

Thumeera R. Wanasinghe1*, Leah Wroblewski1,3, Bui Petersen1, Raymond G. Gosine1,2, Lesley Anne James1,

George K. I. Mann1, Oscar de Silva1, Peter Warrian2 and Wade Locke3 1Faculty of Engineering and Applied Science, Memorial University of Newfoundland, Canada 2Innovation Policy Lab, Munk School of Global Affairs and Public Policy, University of Toronto, Canada 3Department of Economics, Memorial University of Newfoundland, Canada


Abstract – With the fourth industrial revolution, industries worldwide are becoming increasingly digital in order to

enhance safety, lower operational costs, risk, and negative environmental impacts, reduce variability from human factors,

and increase productivity while complying with the sustainable development aspirations of the countries in which they

operate. With regards to oil and gas industry, digitally transforming oil and gas facilities, infrastructure and supply

chains allows operators to create digital twins of physical assets. Such digit twins (DTs) have the potential to offer a

range of advantages including, but not limited to, running virtual “what-if” scenarios on assets, enhancing the

understanding of how the processes, equipment, and maintenance may be impacted by different operating conditions,

reducing HSE risks, and improving revenues and reducing costs. There is a range of oil and gas lifecycle-related

applications, such as drilling, well construction, structural integrity assessment, and production optimization, where the

digital twin concepts are currently being applied or piloted. Current implementations, however, are typically limited to

isolated and selective adaptations instead of applications across the entire oil and gas operating and business model,

including the supply chain. This review article provides an overview of DT and trends in the DT related oil and gas

research activities and summarizes opportunities and challenges of implementing DTs for the oil and gas industry.


57



C-RISE4; Paper 50

Alarm Management at NARL Refining LP Using Alarmsoft

Megan Lynch1*, Syed Imtiaz2, Awantha Jayasiri2 and Salim Ahmed2 1NARL Refining LP 2Memorial University of Newfoundland, Canada


Abstract – The NARL Refining LP processes 130,000 barrels of crude oil per day. Safety is a core value in operating in

a sustainable manner. One of the major contributors to safe and reliable operation is a well-designed and managed

alarm system. Abnormal situations in a refinery can have significant impacts on health, safety, environment and financial

impacts to the People and Business. An effective Alarm Management System plays a vital role in mitigating incidents and

millions of dollars in lost revenue. As part of our continuous improvement efforts, NARL is reviewing its Alarm

Management System to improve on efficiency. This created a research opportunity for C-RISE at Memorial University.

Crude unit process and alarm data was collected and used to develop and test a new software, Alarmsoft. Alarmsoft is

capable of analyzing large sets of historical data in order to visualize high and low density alarm data, alarm frequency,

chattering alarms and alarm duration. It can also be used for designing alarms using process data. This presentation

gives an overview of Alarmsoft, its application to analyze the crude unit alarm data and optimize alarm parameters and

discusses how this tool will be used as NARL moves forward with alarm rationalization throughout the plant.

C-RISE4; Paper 22

Fault Isolation of Subsea Systems through Information Fusion

Guozheng Song1*, Pierluigi Salvo Rossi2, Faisal Khan3and Nicola Paltrinieri1 1Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim,

Norway 2Kongsberg Digital, Trondheim, Norway 3Centre for Risk, Integrity and Safety Engineering (C-RISE), Memorial University of Newfoundland, St. John’s, Canada


Abstract – The offshore oil industry has expanded to deep water. The complicated system structure and extremely harsh

operation conditions increase the likelihood of system faults. This paper proposes a Bayesian network (BN) based method

for timely fault isolation and cause diagnosis of offshore oil industry. This method considers the dependency between

different systems and fuses information from different types of sensors. It also includes the nodes representing false

alarms. A case study about subsea wellhead system and chemical injection system is conducted to demonstrate the

functions of the proposed method. The effects of information fusion are also analyzed through the illustrative case study.





Welcome attendees of the 4th C-RISE Workshop and Symposium



ST. JOHN’S Newfoundland bestowed with immense natural beauty, history, and culture, located in the most easterly point of North America, is Canada’s youngest province and home to Memorial University. St. John’s, the capital of Newfoundland is the host of one of the first settlements in North America and considered as "North America's Oldest City", St. John's is a vibrant city balancing its people’s strong sense of heritage with the needs of a modern urban population. From outdoor adventure to annual events and festivals, attractions, scenic drives, shopping, fabulous restaurants, and tours, St. John’s has it all.

By day, travelers can easily explore nearby ecological reserves, world renowned Provincial and National Historic Sites, cultural and interpretative centres, and hike urban and costal nature trails. With easy access to wildlife, marine life, seabirds, whales and icebergs (in season), it’s easy to lose yourself while discovering St. John’s. The city's proximity to the Hibernia, Terra Nova, and White Rose oil fields has led to an economic boom that has accelerated the population growth and commercial development. Learn more about the St. John’s unique history and culture by visiting www.stjohns.ca.

http://www.stjohns.ca/

For more questions about C-RISE and future events, please contact: Faisal Khan Professor and Canada Research Chair (Tier 1) Director, Centre for Risk, Integrity and Safety Engineering (C-RISE) Email: [email protected] Website: www.mun.ca/engineering/crise/

CENTRE FOR RISK, INTEGRITY

AND SAFETY ENGINEERING

Committed

Making continuous monitoring of risk a reality.

Ensuring plant safety to attain sustainability.

Connected

Partners with local and global industries,

universities and R&D organizations.

Training students from all over the world.

Contributing

Novel methods for dynamic risk assessment, fault

detection and early warning system.

Highly qualified personnel to apply advanced methods

in industries.

4th workshop & symposium safety and integrity management ... · integrity management of...

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