Training Course

1. Digital Oil Field
Transformation with Big Data
Ahmed El-Maraghi,
M.Sc, PhD Candidate
Petroleum Engineering
14th April 2024

2. 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

3. CxO Priorities
CxO
Priorities
Governance
Cost
Optimization
Monetization
Compliance
Risk
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

4. Industry 4.0
Mechanization
Water Power
Steam Power
Mass Production
Assembly Lines
Electricity
Computers
&
Automation
Communication
Internet of Things
Edge Computing

5. Production
Logging &
Evaluation
Equipment
Well
Completion
Reservoir
Drilling
Data
Real-time
Data
DIGITAL
OIL FIELD
Big Data Tsunami in Oil & Gas

6. Oil & Gas Supply Chain
Upstream Midstream Downstream
Exploration
Refining
Processing

7. Acquire
Organize
Simulate
Analyze
Operate
Typical Architecture

8. 360º Rig Intelligence – savings potential with Big Data
Source: McKinsey Study

9. 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