Units
1. Introduction to Artificial Intelligence and Verification Discipline in Petroleum and Natural Gas Engineering 2. Drilling Data, Well Logs and Petrophysical Interpretation 3. Seismic Data Analysis, Feature Extraction and Structural Interpretation 4. Reservoir Characterization, Facies Modeling and Geostatistics 5. Production Forecast, Drawdown Curve Analysis and Reserve Estimation 6. Drilling and Production Optimization 7. Predictive Maintenance and Equipment Reliability 8. HSE, Process Safety and Operational Risk 9. Pipeline Monitoring, Leak Detection and Integrity Management 10. Data Analysis with Python: Oil-Gas Workflows 11. Regulatory, Ethics, Data Privacy and Holistic Verification Governance
Unit 10 / 11

Data Analysis with Python: Oil-Gas Workflows

Gains:

  • Ability to read and clean LAS log files and production data with Python (pandas, lasio) and set up an exploratory analysis workflow
  • Ability to use AI for code generation, debugging and analysis drafting in a safe and auditable manner
  • Ability to verify generated code and results with unit tests, physical boundaries and independent control cells
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