Aldri mer proof of concept: Hvordan legge til rette for dataanalyse i stor skala

October 2018

Dr. Paula Doyle,

VP Industry Solutions

Cognite

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Cognite at a glance

Customer success

Technologyteam

SOFTWARE

MGM CON.

10+ International Informatics Olympiads medallists – 15% Phds

1) Norway’s largest industrial conglomerate with > USD 6 bln in gross asset value

SAAS TECHNOLOGY COMPANY WITH GLOBAL REACH UNIQUE TEAM COMBINING INDUSTRY WITH SOFTWARE

LONG-TERM: Backed by Aker ASA, the largest industrial group in Norway. Long-term financial foundation and legacy of industrial expertise

BACKGROUND: Incubated by Dr. John Markus Lervik and Aker ASA. Transforming asset intensive industries by combining Aker’s industrial experience with founding team’s ability to commercialize and scale software

TECHNOLOGY: One industrial data platform making all your data available contextualized, with no latency

MISSION: To present a digital representation of the industrial reality to make it accessible and meaningful for humans and machines

What is digitalization?

Digitalization is changing how we work, both people and machines

Digitalization is changing our business models - how companies operate and collaborate

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Technology has disrupted our everyday lives

Industrial reality in 2018

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The digital hype in O&G is (soon) over …

We are here

“The height of the hype”

“Valley of despair”

“Transformative change”

▪ Proof of concepts – some failures and some successes

▪ No real cases of highly scaled transformations

▪ Bottom line effects are quite close to zero

▪ Significant activity level – but few if any have the pipeline needed

▪ Digital has not really changed all that much – mostly ringfenced pilots - way of working still the same

SOURCE: McKinsey AA/Digital in O&G service line

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… and the digital transformation of the O&G sector is likely to be more linear than truly disruptive

O&G is different

▪ No strong digital savvy customer base

▪ The end-product is physical

▪ 10X capital spend per revenue dollar vs a bank

▪ Long cycles – 5-15 years for new fields

▪ Safety focus tend to underpin a conservative approach

▪ A comparatively stronger supplier industry with its own agenda

Digitalization in O&G will be characterized by “heavy and steady lifting”

▪ No 2-3 areas or core technologies realizing 80% of the value – rather a sum of many parts

▪ O&G operators will have to carry most of the load

▪ Suppliers not expected to drive much – at least not next 2-3 years

SOURCE: McKinsey AA/Digital in O&G service line

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A single drilling rig can generate over a terabyte of data daily, but less than 1 % is ever analyzed and used for decision-making

100%30,000 sensors gathering data

Data capture

Infrastructure

Analytics

Data management

Deployment

People and process

40% of data is never stored

1% of data can be streamed onshore for daily use

Data can’t be accessed in real time

Reporting is limited to a few metrics

No interface is in place to enable real time analytics

Maintenance is still conducted at manufacturer-recommended intervals

*Source: Cisco & McKinsey

<1%Is used for decision making

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Digital vision and

KPIs

Accelerated value extraction top-down

A digital transformation requires a change of mindset

Turning data into a strategic asset with the vision of making it all available, instantly, on any device

Enable change and innovation to happen bottom-up

Top-down selection of focus areas for resources and external partners to prove value and spearhead cultural change through dedicated agile crews

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3 steps to scaling data analytics in the industry

Data liberation from source system - remove the data silos. Evergreen data available instantly anywhere.

Step 1:

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3 steps to scaling data analytics in the industry

Continuous optimization and contextualization of often incomplete data. Common data model enables cross domain analytics and visualizations.

Step 2:

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3 steps to scaling data analytics in the industry

Unique tools, services and open APIs to ease value capture and speed of operationalization across all assets.

Step 3:

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The change in the NCS is already happening

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From scheduled maintenance to predictive maintenance Spotfire

SAP

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Control System Internal DBs

With domain expertise fromMHWirth and live data enabledthrough the Cognite Data Platformnew predictive maintenancemodels are calculated andvisualized through third partytools such as Statistica andSpotfire.

COGNITE DATA PLATFORM

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AkerBP-FRAMO sea-water pump smart maintenance contract

Framo deliveries to Ivar Aasen

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Lundin: Global pioneer in data sharing with other operators