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 9 / 11

Pipeline Monitoring, Leak Detection and Integrity Management

Gains:

  • Understanding the logic of leak detection and integrity management with AI from pipeline SCADA, acoustic and pressure data
  • Ability to position machine learning in corrosion, in-line inspection (ILI/MFL) and remaining life assessment
  • Ability to verify leakage and integrity outputs with false alarm/miss balance, field verification and standards
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