Playbook:

An introduction to LLMs
+ Industrial Knowledge Graph©COGNITE 2023

How to Deploy, Scale,and Trust Generative
AI in the Oilﬁeld

1. Value pools
Section 1:

What is the generative AIopportunity acrossthe oilﬁeld?

2. Gen AI capabilities
3. Operations use case
4. Maintenance use case
5. Reliability use case

There is tremendous opportunity
to improve operations with gen AI

Maximizing production eiciency
10-30% throughput increase■ More eicient ways to detect and deal withproduction disruptions■ Reduce operations and shutdown costs■ Extend the economic life of brownﬁelds

Ensuring safe and sustainable
operations
30-50% reduction in emissions■ Reduce total energy consumption■ Remove people from hazardous environments■ Meeting GHG goals/emerging environmental
regulations

AI-assisted business decisions
15-30% labor productivity increase
AI-powered, no-code data exploration &analysis for subject maer experts■ Increase productivity in the ﬁeld
■ Develop and scale solutions at scale■

Generative AI delivers a valuable layer of capabilities that amplify existingeorts to make operators more eicient and eective“What is the highest temperature of equipment
21PT today? Did this equipment exceed normal
temperature range last week?”“My pump xx has failed. I need all the relevant
data to troubleshoot the issue.” Ask your Copilot
to bring all the relevant data for troubleshooting,such as documents, pressure, temperature, etc.

Content Generation

Summarization

Code Generation

Semantic Search“Summarize the ﬁndings of the latest
maintenance report for the heat exchanger.” Your
Copilot will help summarize all your documents
and bring the most important information upfront.
“I have this huge report on an RCA; which are themost important insights?” Ask your Copilot tosummarize the insights and share them withcolleagues.
“I would like to create an application that shows
me every work order whenever I search for a pieceof equipment.” Copilot can generate the code
required to build Streamlit applications

Use case:Create simple accessto industrial data andcross-source insights
As an operator in the ﬁeld, I don’t havethe time to double-check multiple
sources (data and people) to gain
context.
I need quick access to trustworthy data
so I can understand real world
conditions and take the appropriate
actions to improve production ASAP.

Use case:

Optimize planning,scheduling, andexecution of activities
As a maintenance manager, I am always
trying to proactively plan, but I have lileinsight into operations.
Priorities can shift rapidly, and it is a
painful process to shift resources toexecute new plans while minimizing
impact to scheduled activities.

Use case:Accelerate shift todata-driven
condition-based
activities
It’s very hard to understand thecondition across many dierent
equipment as data and analysis arecaptured in disjointed systems andsome assets have very lile data.
Often times I need more complete
information to take timely actions…

1. What’s required?
Section 2:

How do you deploy andscale generative AI use
cases?

2. How to trust Gen AI
outputs
3. How do you deployand scale?
4. Framework

What’s required to deploy industrial generative AI?

Generic purpose LLMs can be used todeliver human-like insights fromnatural language data

But to be valuable in industry, theyneed to be powered by rich industrial
data, put in context

This important combination of LLMs + an industrial knowledge graphoers explainability to ensure user trust and prevent security risk

The industrial knowledge graph enables deployment of co-pilots andmore, while serving as a foundation for scaling site-to-site
Automate data
contextualization

Auto-populate data models
Cognite Data Fusion’s
Industrial Knowledge
Graph■ AI-powered
contextualization
services■ AI suggestions topopulate ﬁelds■ Copilot powered search■ Mappings maintained
automaticallyContextualize all datatypesUse pre-built model
templates■ OT, IT, engineering,vidoes, images, etc.

■ Based on industry
standards (ISA, CFIHOS,OSDU)■ Pre-built extractors toindustrial sources /protocols

Cognite Data Fusion’s
Flexible Data Modelling■ Tailor templates to uniqueneedsWith the right data + AI
framework, you canrapidly scale provencapabilities & value
Scale what is proven
Rapidly scale proven solutions acrossproduction assets and ﬁelds
Scale in weeks, not months
With templated solution, and the ability toeasily reuse previous data eorts, scalesolutions in only days
Collaborate on innovation
Continuously improve and unlock value
from 10s of use cases across assets bycollaborating and sharing experiences

INNOVATESCALE PROVEN SOLUTIONSSection 3:

Where and how to
get started

1. Getting started
2. Cognite tech stack
3. Business value potential
4. Additional resourcesGeing Started: Prerequisites and order of operations
Liberate data

Build data foundation

Create insights with AI…and more■

All OT, IT and engineering data contextualized with AI■■■

Pre-built extractors into common
industrial sources and protocols

Interact with contextualized data throughmodels, drawings, and Google-likesearch■

Everything is accessible through awell-documented, open API

Automatically populate data models forfaster and eicient scaling across■

Build knowledge graphs/ digital twins andleverage AI analytics to optimize plans■

Collaborative workspace for any data type(interactive P&IDs, 3D Models, and more)■

AI-copilot to ﬁnd relevant data, no-code
capabilities to create summaries,
solutions, conduct root-cause analysis
and make recommendations

Cognite oers
comprehensive
capabilities toaccelerate your AI
roadmap→ Get in touch:cognite.com/contact→ Get a free AI value
review:

cognite.com/en/value-review
Cognite Data Fusion oers industry-leading, automated data
contextualization capabilities that make AI work for industry

The business value of Cognite Data Fusion® with Cognite AI

Forrester Consulting: 400% ROI from Cognite Data Fusion®
1-2%

Gain in SME
Eiciency

1-5 days
Reduced
Downtime

1%

Gain from Data
Productivity

Cognite AI
Increases eiciency of industrial workﬂows by 10xand ease of use for end-usersIndustrial Canvas
Analyze complex scenarios 90% faster than before

2-3%ReducedMaintenance $2-3%

Increased
Machinery Optz

7-8%

Less Energy $Data Modeling
Save thousands of domain expert hours
Industrial DataOps
Scale asset-to- asset, site-to-site in hours andweeks, not months and years.

Learn more about Generative AI

Learn more about Cognite

Cognite Demo Hub

Customer Stories

Cognite Hub

Explore Cognite Data Fusion

Cognite success stories

Cognite’s user community

Industrial Canvas

Customer Solutions

Cognite Academy

Simple access to complex industrial data

Cognite’s solution areas

Learn Cognite Data Fusion

Industrial Software
for Global Industry

Stavanger
OsloLondon
Calgary

Simple Access to Complex Industrial Data
Cognite is the fastest growing industrial
SaaS company in the worldTokyo

ViennaAustinPalo Alto
HoustonDammamSingapore

Key Partners:
Global Partnership in the Energy Industry
Buenos Aires

Global Partnership for Manufacturing

Our Customers:
EnergyGlobal Alliance & Center of Excellence
Global ISV, PRACR, Marketplace
Google Cloud Partner; Technology Partnerof the Year: Manufacturing
Long-term digitalization partner with 7.4%
stake in Cognite$150M Series B (at $1.6B) Redeﬁning
Modern industrial Data Management$75M Series A (at $500M) To Accelerate
Leadership in Industrial DataOps

Manufacturing

Power & Renewables

contact@cognite.com
www.cognite.ai©COGNITE 2023

ThankYou