Big Data and Knowledge: Are we doing enough to prevent Major … · 2018. 10. 4. · Steam turbine...
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Confidential. Not to be copied, distributed, or reproduced without prior approval. © 2017 Baker Hughes, a GE company, LLC - All rights reserved. Big Data and Knowledge: Are we doing enough to prevent Major Accident Events? June 7, 2018 IRF/OGUK Safety 30 Conference Mario Alonso, BHGE
Transcript of Big Data and Knowledge: Are we doing enough to prevent Major … · 2018. 10. 4. · Steam turbine...
Confidential. Not to be copied, distributed, or reproduced without prior approval.© 2017 Baker Hughes, a GE company, LLC
- All rights reserved.
Big Data and Knowledge: Are we doing enough to prevent Major Accident Events?
June 7, 2018
IRF/OGUK Safety 30 Conference
Mario Alonso, BHGE
Confidential. Not to be copied, distributed, or reproduced without prior approval.
June 7, 2018 2
The Journey to Digital Value in Oil & Gas
Level 0 Level 2 Level 3 Level 4 Level 5Level 1
Monitoring & diagnostics
Analytics
Optimization &prediction
Artificial intelligence
Data collection & visualization
Autonomous / De-manned operations
Autonomous Operations
Production Optimization
Control & Automation
Informed Operations
Op
era
tor
va
lue
Digital maturity
Process & Data Maturity
Predictive Operations
Confidential. Not to be copied, distributed, or reproduced without prior approval.
June 7, 2018 3
Are we doing enough?
https://hbr.org/2016/04/a-chart-that-shows-which-industries-are-the-most-digital-and-whyWhich Industries Are the Most Digital (and Why)?Harvard Business Review: By Prashant Gandhi, Somesh Khanna, and Sree Ramaswamy
Prevention of Major Events
requires digitization of critical assets!!!
Confidential. Not to be copied, distributed, or reproduced without prior approval.
A Key Challenge for Oil & Gas: Predicting Equipment failure!
June 7, 2018 4Confidential. Not to be copied, distributed, or reproduced without prior approval.
Data science
Domain knowledge
Software
“Needle in a haystack” Traditional solutions
Critical play zone
Confidential. Not to be copied, distributed, or reproduced without prior approval.
June 7, 2018 5
Digital Twins… our Reliable Crystal Ball
.
.
A live up-to-date digital representation of an asset, system, or process
Physical asset
Digital TwinReal-time
operational data
Maintenance history
Operational history
Fleet aggregate data
FMEA
CAD model
FEA model
Control response
Physics based
Probabilistic
Deep learning(AI)
Hybrid models
• Continuously tuned• Scalable• Adaptable
Known Issues
(Known Knowns)
Uncertainty
(Known Unknowns)
Unknown Issues
(Unknown Unknowns)
Confidential. Not to be copied, distributed, or reproduced without prior approval.
June 7, 2018 6
Key Enabling Technologies for Digital Twin
Industrial Analytics
Knowledge Extraction
Model Generation & Automation
Domain DataCapabilities
Automated Data Pre-Processing
InspectionCapabilities
DigitalThread
Physical + DigitalEngineering Models
Life & Operational Behavior
Performance
Engine Model
Matching Algorithm
Flight Sensor Data
Flight Data
Estimates
Model Management
Parts TwinsRotor failure prediction
Product TwinsSteam turbine life optimization
Process TwinsField engineer scheduling
System TwinsModel based optimizerTime
1,183,547 Twins and Increasing!!!
Digital Twins:Can we leverage technologies from other industries?
Confidential. Not to be copied, distributed, or reproduced without prior approval.
June 7, 2018 7
Confidential. Not to be copied, distributed, or reproduced without prior approval.
32,000 Gallons / Locomotive-Year Saved
174,000 Tons Emissions Reduced/Year
Track TopologyLocomotive Data
Optimal Speedand Horse Power
Digital Twin
Optimization Digital Twin – Locomotive
June 7, 2018 8
Continuous Prediction Digital Twin: Aviation EngineC
um
ula
tive D
istr
ess
Cycles
ABATENominal environment
Harsh environment
Optimized Inspection Time & Shop Time
Environmental Conditions
Per Flight DataPrior Condition
Digital TwinPhysics + AI Models
Increased Availability to Customer
Saves Tens of $MM in Unnecessary Service Overhauls
Confidential. Not to be copied, distributed, or reproduced without prior approval.
June 7, 2018 9
Confidential. Not to be copied, distributed, or reproduced without prior approval.
Active Asset Performance Management
June 7, 2018 10
Digitization of Oil & Gas assets facilitates active integrity management, enabling prevention of Major Accident Events!
Machine and Equipment Health
Less unplanned downtime by predicting equipment issues
before they occur.
• Connectivity • Data management• CMMS integration
Anytime, anywhere, unified view of your assets’ current state, and health.
• Condition monitoring • Data analysis and visualization• Criticality analysis
• Event management • Recommendation management• Benchmarking
Reliability Management Asset Strategy Optimization
Optimize across availability, reliability, risk, and costs through intelligent asset
strategies.
Ensure asset integrity and compliance by monitoring changing
risk conditions.
Compliance and Integrity Management
• Predictive analytics• Case and collaboration management• Knowledge management• Production loss analysis• Root cause analysis• Reliability analysis
• Hazard analysis
• Safety lifecycle management
• Risk based inspection
• Inspection management
• Thickness monitoring
• Reliability centered maintenance
• Failure mode effects analysis
• Strategy management
• Strategy library
• Lifecycle cost analysis
• Financial and risk simulation
Confidential. Not to be copied, distributed, or reproduced without prior approval.
June 7, 2018 11
Challenges and Opportunities
1985 1990 1995 2000 2005 2010 2015 20201985 1990 1995 2000 2005 2010 2015 2020
AI
PCsMobile
Rate of adoption
Key challenges within the Oil & gas industry include:
• Technology adoption rates (typically more evolution than revolution)
• Access to data
Opportunities:
• AI & Analytics are driving the pace… opportunities for a step change
• Digitalization augments value on all fronts (e.g. production optimisation, asset integrity, etc)
