ACHIEVING TRUE SCALE IN OIL AND GASWITH COGNITE DATA FUSION
Improve Operational Performance • Reduce Downtime • Deploy Safer Solutions
Major operators are doubling down on digital invest-operations is crucial to survival, as we progress towardments because their ambitions go beyond keeping

the energy transition.

the lights on. Extracting the most value possible fromdata requires putting it in context first - then making it

Challenges exist at every level of your E&P business.

available and accessible to users beyond data special-Solutions can also be found that deliver on criticallyists. In the current market conditions, improving

needed foundational capabilities to improve resil-performance to get the most value from existing E&P

ience, speed, and scaling of digitalization value.

Leaders in Oil and Gas Use Cognite Data Fusion to Transform Their Operations
We partner with our oil and gas customers to maximize the value of their data, equipping them for the digitalized
future by making the right data available to the right users at the right time.
Aker BP Lowers Operating Costs And Increases Productivity With Its Digital Transformation Initiatives
Many oil and gas asset operators rely on papera smart monitoring system that combines physics-printouts for their jobs, which can lead to lost work

based modeling and domain knowledge to optimize

time and delays to maintenance, and therefore

produced water disposal; an analytics-based method

increase the incidence of asset failure. Aker BP, afor calibrating multiphase flow meters (MPFMs); andNorwegian oil and gas exploration firm, undertooka 3D model of its oil fields to reduce time spenta digital transformation initiative to increaseon manual inspections and locating equipment.

productivity and lower costs. This initiative included,

These initiatives are estimated to reduce Aker BP's

among other solutions, a well surveillance system tooperating expenses by about 15%, saving $22.5

detect early signs of well failure and provide alerts;

million annually.

Reference: Verdantix report, by Sebastian Winter with Malavika Tohani, August 2020

Cognite Data Fusion is the leading industrial data operations foundation that makes traditionally siloed
operational, engineering and IT data instantly available to users across the organization, enabling better decision
making and intelligent workflow automation to improve operational performance.

Cognite Data Fusion Delivers Data and Operational Insights■

90% less time spent on making sense of data: Though our unique ET/OT/IT data contextualization, users can instantly understand all datain rich context, with complete metadata.

■

10-25x faster time to deploying solutions into live production use:
Similar to time to first oil, faster time to realizing value from digital has
a direct impact on the bottom line.

■

Competitive advantage in the energy transition: The future ofenergy requires operational resilience, agility, and speed — also fromdata operations. Cognite Data Fusion is the only platform built fromthe ground up for industrial data operations in the cloud-native era.

Cognite Data Fusion Lays the Foundation for Scale
According to conventional wisdom, it costs 6-10x more to deploy to production and maintain a new digitalsolution than the initial MVP development. With Cognite Data Fusion, operationalizing to production and scalingacross your equipment and asset fleet redefines this cost of convention.

DATA-DRIVEN
MAINTENANCE

ASSET
OPTIMIZATIONDIGITAL
WORKER

SAFETYAND SUSTAINABILITY

BUSINESS MODEL
TRANSFORMATION

30-50% INCREASEDUPTIME

3-10% INCREASEDPRODUCTIVITY

30-55% INCREASEDWORKER PRODUCTIVITY

10-20% REDUCEDENERGY USE & EMISSIONSNEW REVENUEOPPORTUNITIES

10-40% REDUCEDMAINTENANCE COSTS

10-20% INCREASEDQUALITY/YIELDREDUCED HOURS
WORKED OFFSHORE

INCREASED SAFETY

ALIGNEDRELATIONSHIPS

Use Case Spotlight: Data-Driven Production Optimization
Data-driven production optimization is a major step

Cognite Data Fusion gives engineers the ability toforward for heavy-asset industries. There is ground tozoom in on processes, locate persistent problem

be made up in the production process, bottlenecks toareas, and analyze them with greater granularity.

break, and thresholds to cross. Physics models have

Engineers retain control of their domain and can use

taken engineers a long way, but with the addition of

their expertise to verify the results of machine learning

machine learning and live contextualized data, value

models combined with conventional physics-based

capture can go much further.

process simulation models. This hybrid analytics
approach is already taking industries like oil and gas
the extra mile.

© 2020 COGNITE|

www.cognite.com