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Digital Oil Field
Transformation with Big Data
Ramesh Kandadai
April 10, 2019
© 2019 Ramesh Kandadai
1. CxO Priorities
2. Industry 4.0
3. Big Data Tsunami in Oil & Gas
4. Oil & Gas Value Chain
5. Typical Architecture
6. 360° Rig Intelligence – savings potential
7. Typical KPIs & Analytics
Agenda
© 2019 Ramesh Kandadai
CxO Priorities
CxO
Priorities
Governance
Cost
Optimization
Monetization
ComplianceRisk
Governance – Ensure Quality/Reliable/Secure data
Risk – Prioritize & Mitigate the business risks
Compliance – Meet the regulatory needs
Monetization – Generate value to the business
Cost Optimization – Enable efficient operations
© 2019 Ramesh Kandadai
Industry 4.0
Mechanization
Water Power
Steam Power
Mass Production
Assembly Lines
Electricity
Computers
&
Automation
Communication
Internet of Things
Edge Computing
© 2019 Ramesh Kandadai
Production
Logging &
Evaluation
Equipment
Well
Completion
Reservoir
Drilling
Data
Real-time
Data
DIGITAL
OIL FIELD
Big Data Tsunami in Oil & Gas
© 2019 Ramesh Kandadai
Oil & Gas Supply Chain
Upstream Midstream Downstream
Exploration
Refining
Processing
© 2019 Ramesh Kandadai
Acquire
Organize
Simulate
Analyze
Operate
Typical Architecture
© 2019 Ramesh Kandadai
360º Rig Intelligence – savings potential with Big Data
Source: McKinsey Study
© 2019 Ramesh Kandadai
© 2017 Tata Consultancy Services
Typical KPIs / Analytics in the Oil & Gas Industry
Top KPIs in the Industry
 % Non productive drilling time (NPT)
 % Drilling rig utilization rate
 % Drilling success rate
 $ Drilling cost per meter (foot)
 % Drilling rigs availability
Top Analytics focus in the Industry
 Analysis on LWD & MWD data
 Spontaneous Potential Log
 Resistivity Log
 Induction Log
 Nuclear Log (Gamma Ray, Neutron…)
 Seismic Log
 SCADA & Diagnostics
 Field Instrumentation
 Safety & Security Alerts
Thank You
I can be reached at the.kvr@gmail.com
© 2019 Ramesh Kandadai

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