Course Overview
This advanced training program equips petroleum engineers, geoscientists, and reservoir professionals with cutting-edge techniques for reservoir performance monitoring, surveillance strategies, and data-driven decision-making. Participants will master production data analysis, pressure transient interpretation, advanced surveillance tools, and integrated reservoir management approaches to optimize hydrocarbon recovery and maximize asset value.
Course Objectives
By completing this course, participants will be able to:
✔ Implement comprehensive reservoir surveillance plans for different recovery mechanisms
✔ Analyze production data using decline curve analysis (DCA), pressure transient analysis (PTA), and rate transient analysis (RTA)
✔ Evaluate reservoir performance using 4D seismic, downhole sensors, and fiber-optic monitoring
✔ Design conformance control strategies for water/gas breakthrough management
✔ Integrate surveillance data with reservoir simulation for history matching and forecasting
✔ Apply industry best practices for reservoir management and production optimization
Who Should Attend?
✅ Reservoir engineers responsible for field performance monitoring
✅ Production engineers involved in well/reservoir optimization
✅ Petrophysicists and geoscientists working with dynamic reservoir data
✅ Field development planners integrating surveillance into management strategies
✅ Asset managers overseeing reservoir performance and recovery optimization
Course Outline
Module 1: Fundamentals of Reservoir Surveillance
- Objectives and value of reservoir surveillance
- Key performance indicators (KPIs) for reservoir management
- Surveillance planning for different recovery mechanisms (natural depletion, waterflood, EOR)
- Case Study: Surveillance failures and successes in major fields
Module 2: Production Data Analysis Techniques
- Decline Curve Analysis (DCA) methods (Arps, Fetkovich, Blasingame)
- Rate Transient Analysis (RTA) for unconventional reservoirs
- Material Balance Analysis for reservoir performance evaluation
- Workshop: Production data analysis using real field examples
Module 3: Pressure Transient Analysis & Well Testing
- Fundamentals of pressure transient analysis (PTA)
- Well test interpretation for reservoir characterization
- Permanent downhole gauge (PDG) data analysis
- Exercise: Well test interpretation using industry software
Module 4: Advanced Surveillance Technologies
- 4D seismic monitoring and time-lapse interpretation
- Distributed Temperature Sensing (DTS) and Distributed Acoustic Sensing (DAS)
- Downhole fluid analysis and sampling techniques
- Case Study: Fiber-optic monitoring in intelligent wells
Module 5: Waterflood & EOR Surveillance
- Injection/production balance monitoring
- Tracer technologies for sweep efficiency evaluation
- Surveillance strategies for chemical/polymer floods
- Workshop: Waterflood conformance control planning
Module 6: Integrated Reservoir Management
- Data integration workflows for reservoir modeling
- History matching techniques using surveillance data
- Real-time reservoir management concepts
- Group Exercise: Building an integrated surveillance dashboard
Module 7: Unconventional Reservoir Surveillance
- Special considerations for shale/tight reservoirs
- Microseismic monitoring and fracture hit analysis
- RTA applications in unconventional plays
- Case Study: Eagle Ford shale surveillance program
Module 8: Digital Oilfield & AI Applications
- Machine learning for production anomaly detection
- Digital twin concepts for reservoir management
- Automated surveillance systems and predictive analytics
- Discussion: Future trends in intelligent reservoir monitoring