Wake up with Watson

Cognitive Overview

Dave Haake, Global C&P Solutions Executive, IBM Watson

November 15, 2016

© 2016 IBM Corporation

Traditional Analytics and Cognitive are complementary across the O&G Value Chain

Exploration &

Appraisal

Well

Delivery

Facility

Development

Production &

Operations

Asset

Optimization

HSEQ

Stake-

holders

Exploration Manager

Explorationists

Drilling Manager

Well Delivery Team

Operators and EPC Managers

& Project Team

Operations Manager. Cross

functional operations Team

Field Dev. Mgr. / Subsurface

and Asset Teams

Operational and Corporate

HSEQ Managers & Teams

Cognitive Assess regions, basins

and fields potential. Use

internal as well as

external information

sources to find most

relevant analogues

Unbiased appraisal.

Leverage lessons

learned in Well Delivery

planning. Advise “next

best action” when facing

challenges during drilling

operations.

Understand projects status

and projections, utilizing

“augmenting unstructured

information”.

Text and sentiment

analysis.

Explore causes of

production shortfalls - to

improve Production

Efficiency. Understand

equipment reliability – and

influence new field designs.

Improve understanding of

reservoirs from identified

analogue fields. Advise

best IOR/EOR technology

and approach from

internal and external

lessons learned.

Explore new relationships to

find HSE root causes.

The HSE “Investigator” –

spanning multiple disciplines

and data sources.

(Internal and External)

Traditional

Analytics

Interpretation, Modelling,

Simulate / Optimize

portfolio

Analyze cost/efficiency.

Predictive Drilling.

Well “placement”

Project Reporting / Analytics

of Time, Cost, Quality, HSE.

Prediction based on history

Facility Optimization.

Predict equipment failures.

Analyze Lifting Cost

Life of Field analysis.

Reservoir simulation

Well Productivity

Compliance & Reporting.

Environmental Monitoring to

detect issues / initiate

actions.

E&P Value Chain / Core Functional Domains

Today’s industry leaders recognize the gap

in their digital capabilities

Developing new

technological solutions in extraction activities

Finding more innovative ways to cut costs and increase revenues

Creating more

innovative solutions in exploration

and development

Making better decisions on operational

risks

Three capabilities differentiate cognitive systems from traditional programmed computing systems…

Reasoning

They reason. They understand

underlying ideas and concepts.

They form hypothesis. They infer

and extract concepts.

Learning They never stop learning getting

more valuable with time.

Advancing with each new piece

of information, interaction, and

outcome. They develop

“expertise”.

Understanding

Cognitive systems

understand like humans do.

…. allowing them to interact with humans and enhance human performance.

5

OTHER

SOURCES

Weather

Social

Web

Patent

Wikipedia

INTERNAL

SOURCES

Internal processing

experience and crude run

history

Emails and Personal Hard

Incident related knowledge

Inspection Management

system

Internal Forums and

Discussion Boards

IBM Cognitive Solutions can ingest and curate several types of data from various sources

INDUSTRY

SOURCES

IHS

SPE

Oil & Gas Journal

Industry White

Papers

Industry Journals

8 to 12 weeks

Use Case /

Experiment

Fine Tune - PoV

Pilot / Production

Starburst

Design Thinking Workshop

Engage Users Early

Build / Measure / Learn

Assess and Re-Loop

Core Cognitive Pilot

Establish Success Metrics

Content / Train / Test

Integrate

Release in Small Batch Sizes

Measure and Re-loop

Business Domains Product Lines

Solutions

Market Segments

Business Functions Pre-Sales

Product / Solution Analysis

Configuration

Troubleshooting

Support Discovery

Users CSEs

Customers

Partners

Quick Hit / Validate (1day-2wks) 12 to 26 weeks

Experiment & Validate

Business Use Cases

The Road to a Cognitive Enterprise

7

Thank you.

8

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