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©2019 COGNITE
ULOCKING ECOSYSTEM INNOVATION
USING DATA FABRIC FOR DIGITAL
TWIN ORCHESTRATION
Petteri VainikkaVP Product Marketing
HORIZONTAL DATA PLATFORM
CONNECT ASSETS
ADVANCED ANALYTICS
DATA SHARING MARKET PLACE
DATA CENTRIC BUSINESS MODEL
THREE FUNDAMENTAL STEPS IN EXTRACTING VALUE FROM DATA
DATA SOURCES
Data liberation from source system -remove the data silos. Evergreen data
available instantly anywhere
Continuous optimization and contextualization of often incomplete data.
Common data model enables cross domain analytics and visualizations
Unique tools, services and open APIs to ease value capture and speed
of operationalization across all assets
INGEST, NORMALIZATION AND CONTEXTUALIZATION
VALUE CAPTURE
01
END USER
02
03
MULTIPLE DATA SETS &
DATA TYPES
AN INDUSTRIAL SYSTEM IS MADE UP OF “THINGS” MANUFACTURED BY MULTITUDE OF OEMs
PROBLEM INDUSTRIAL REALITY IS COMPLICATED
©2019 COGNITE
WHAT IS AN ECOSYSTEM
WHAT IS DATA FABRIC, I.E. WHAT IS
DATA CONTEXTUALIZATION
WHAT IS DIGITAL TWIN
ORCHESTRATION
CONTEXTUALIZATION
MEANS BRINGING ALL
DATA INTO ONE
COHERENT DIGITAL
REPRESENTATION OF THE
INDUSTRIAL REALITY
CONTEXTUALIZED DATA
ALL THESE DATA SOURCES
ARE “CONTEXTUALIZED”
LIVE INTO OUR DATA
MODEL AND MADE
AVAILABLE TO HUMANS,
MACHINES, AND
APPLICATIONS TO FEED
YOUR USE CASES
DIGITAL TWIN IS ENABLER FOR 1000S OF USE CASESGENERATING BUSINESS VALUE
BUT ONLY IF SOME CONDITIONS ARE MET
EVOLUTION OF DIGITAL
TWIN
THE POTENTIAL
Changing 100x of
work processes
Creating 1000x of ML
models
100s of data driven
optimizations
AKER BP CREATED A
FOUNDATIONAL DIGITAL TWIN
OF THEIR OPERATIONAL ASSETS
600,000+
Time Series
1.3 trillion
Data Points
400,000+
Documents
4 million
Events
In one place. In context. Instantly accessible.
A full, clear view of their industrial reality.
DIGITAL TWIN ENABLES DATA
SCIENCE PROJECTS TO
SCALE
BHGE advancing predictive analytics for Gas Turbines
Traditional operator-supplier relationships rely on scheduled maintenanceand opposing incentives.
DIGITAL TWIN ENABLES
CHANGE OF BUSINESS
MODELS BETWEEN
OPERATORS AND OEMS
SOLUTION
FRAMO
Data sharing enables change of business models between OEMs and Operators
OEM
BUSINESS MODEL
COGNITE
The Cognite Data Platform enabled secure sharing of selected live databetween Aker BP and Framo.
Access to real-time operational data allows Framo to predict pump performance and guarantee maximum uptime, empowering their shift to a new performance-based contract.
01
02
03
WHYSignificant production losses tied to bottlenecks based on a fixed value in the Alvheim Separator
WHATIncrease utilization by modelling dynamic max flow restrictions for 1st stage separator during MPFM calibration on Alvheim
VALUE POTENTIAL20-40 MNOK/yr
+Developed through continuous iterations with end user (CCR)
Regarded as easy to implement
+
DIGITAL TWIN MERGES
PHYSICS SIMULATIONS WITH
MACHINE LEARNING
SOLUTION
AKER BP
Increased production by using live data to monitor current fluid conditions
O&G
PRODUCTION OPTIMIZATION
COGNITE
During MPFM calibration of flowlines, production through the Alvheim separator is limited by a fixed value, thought to be too conservative. The new tool determines maximum production limits based on current fluid conditions.
The restrictions on the 1st stage separator have been modelled separately, then combined to output the currently most restrictive maximum flow
ALVHEIM DYNAMIC MAX FLOW
SOLUTION
AKER BP
Increased production by using live data to monitor current fluid conditions
O&G
PRODUCTION OPTIMIZATION
COGNITE
How close to maximum capacity are we operating?
Live update of current maximum flow and current production
Right now, how are we currently operating, and what is the actual limit?
For all the limits applying to the separator -how close are we operating right now? Which limit is currently restricting production?
Production split up in water, gas and oil production