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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
© IBM Corporation 2016
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