big data and its potential in integrity and operational reliability

The Structured Approach to Asset Management

PIMS of London

Big Data and its Potential for Integrity Management and Operational Reliability

Richard MatthewsOperations DirectorPIMS of London Ltd


Data is a torrent flowing in every area of the global economy

Companies churn out a huge volume of transactional data

Millions of networked sensors embedded in the physical

world sense, create and communicate data

Sensors, PCs and smart-phones allow billions of people

around the world to contribute to Big Data

However, big data can play a significant economic role to the

benefit of industry, national economies & citizens and can

create significant value by enhancing productivity and competitiveness in

the global economy

Digital data is now everywhere – in every sector and every economy, every

organisation and every digital user

Recent research shows that we are on the leading edge of a tremendous wave

of innovation, productivity and growth driven by Big Data

Big Data is now relevant for business leaders across every sector, as

products, services and their competitiveness stand to benefit from its

application

Most large organisations are currently in the early stages of Big Data

development efforts – many piloting ways to mine existing data more

effectively and to improve visualisation & analytics in order to improve

outcomes and decision making

What is Big Data?


Pipeline ServicesCapturing the Value of Big Data

$300 billionpotential annual value to US health care (more than double the total annual health care spending in Spain)

€250 billionpotential annual value to Europe’s public sector administration (more than GDP of Greece)

$600 billionpotential annual consumer surplus from using personal location data globally

60%potential increase in retailers’ operating margins possible with big data


Characterising the dimensions of Big Data:-

Volume – data at scale

Variety – data in many forms

Velocity – data at speed – streaming real time data

The ability to store, aggregate, align data and use the results

for deep analysis will become more accessible and important

The extraction of conclusions from data are also improving,

as increasingly sophisticated software and techniques combine with ever

growing computing horsepower, more cost effective hardware and data storage

capability

Although the number of smart-phones has recently reached 1 Billion and

currently growing at more than 20% per year however, at the same time the

number of industrial networked sensors is increasing at more than 30% per

year

This Big Data phenomenon is not just about smartphones, PCs

and social networking, this is also about industrial applications

Big Data” has been regarded as a term used by “softer” industries

to track people’s behaviours, buying tendencies, sentiments, etc.

However, Big Data already has applications in the upstream oil &

gas sector...

So what about its potential for pipeline integrity and operational

reliability?

What is Big Data?


Where does Big Data have potential to improve pipeline integrity for Pipeline Operators?

Data Mining - Operators with Integrity Strategy of Inspect & Repair

Improved analytical tools and skills to incorporate and align a variety of datasets for enhanced defect characterisation & assessment of coincident anomalies for improved decision making

Enables more sophisticated integrity assessments necessitating fewer repairs, more accurate assessment of corrosion growth rates to extend remaining life and re-inspection intervals

Improved accountability - operational and integrity KPI tracking and visualisation through digital dashboards

On a recent project:- Holistic integrity assessment including crack susceptibility analysis, alignment of multiple data sets, fracture mechanics and lab testing to determine immediate pipeline repairs

Immediate pipeline crack repairs reduced from 100 to 5, minimising operational disruption and reducing costs whilst

managing risk

Big Data Potential


Data Mining + Business Intelligence - Data Management & Risk Assessment

With an increasing culture, expectation and reliance on data driven decisions, more focus will be required on data management

Big Data can drive more sophisticated algorithms and analysis to deliver robust and more accurate risk assessments and improved data driven business decisions

On a recent project:-

• Alignment and analysis of network wide datasets used for the development of pipeline condition & criticality algorithm to prioritise pipelines for replacement v inspect and repair

Cost benefit analysis on a single pipeline demonstrated US$40M benefit and replacement pipeline capital payback

from production of <1 month

Big Data Potential


PIMS

Data Mining + Business Intelligence + Visualisation - Integrated PIMS Programme

Data management and software becoming an increasingly essential pipeline integrity management tool for data driven decision making

A shift from reactive pipeline integrity management and ‘inspect and repair‘ philosophies to a structured and integrated approach for proactive pipeline integrity management

Operating Effectiveness

OrganisationalEffectiveness

Training & Competency

ProceduresDevelopment

EmergencyResponsePlanning

Management Systems

PerformancePlan

CommunicationPlan

ChangeManagement

QualityPlan

Data Management

DirectAssessment

Fitness-forPurpose

In-LineInspection

IntegrityEvaluation

Repair &Rehabilitation

Planning

PipelinePerformanceEvaluation


Execution


PrioritiseSusceptibleSegments

RiskAssessment

IntegrityManagement

Plans

DataGathering &Integration

Risk &IntegrityResponse

PipelineGoals &

Objectives

Pipeline IMProgrammeDesign

StrategicPlanning

Big Data Potential


On a recent project:- PIMS system implemented with Business processes structured to drive dataflow from one step of the process to the next

Proactive management of pipeline integrity, including all pipeline data, Risk Assessment, Integrity Management Plans, budgets, workorders, Inspection results, reports and repair execution

Store and alignment of above ground survey & ILI data, infield NDT & repair records, ROV/SSS survey data and interfaced with GIS and SAP PM to update records for next Risk Assessment

Incorporated Risk Based Inspection management of static equipment assets within the same software system and following consistent business processes to manage operational reliability

Implementation of Integrated PIMS and RBI system on a large network, driven by business processes to ensure proactive Integrity management of onshore and offshore pipelines and

facilities transportation system

Big Data Potential


Big Data provides real potential to shift from periodic capture and analysis of lagging data to real-time capture of leading data to monitor and control pipeline integrity

Pipeline threat modeling and risk assessment to identify critical parameters to be visualised on digital dashboard to maintain pipeline condition and prevent deterioration

Field sensors clustered into low cost Wireless Sensor Networks (WSN) gather and send real-time or batch data using existing IT infrastructure, cellular networks or via satellite.

Sensors and WSNs can operate in remote pipeline locations using batteries or solar panels

Enables real time remote sensing of critical operating data such as fluid composition, H2S, CO2 etc, dewpoint, chemical inhibitor residuals, bacterial count, pipeline strike detection etc

Could also use satellite imagery to monitor pipeline ROW for 3rd party encroachment, potential pilferage, leaks etc

SummaryBig Data

Potential


Capitalising on the Volume, Variety and Velocity of Big Data has the ability to advance integrity and operational reliability from Proactive to Predictive and Preventative Rather than periodic ILI inspections for measurement of existing defects to determine historical corrosion growth rates, real-time monitoring and analysis of critical pipeline parameters allows implementation of threat mitigation plans before pipeline deterioration

Traditional inspections used to confirm and verify pipeline condition and to tailor and optimise integrity mitigation plans such as chemical injection programmes etc

This real-time data driven approach to condition monitoring and pipeline integrity management has the potential to significantly extend asset life, optimise costs and improve safety whilst managing risk

SummaryBig Data

Potential

Big Data has great potential for real-time capture, visualisation and analysis of critical pipeline threat and deterioration parameters to monitor pipeline condition and proactively manage integrity & operational reliability

big data and its potential in integrity and operational reliability

Technology