By the end of this programmes, participants will:
- Understand the classification and categorization of oil and gas reserves and resources.
- Evaluate reserves using volumetric, material balance, and production decline analysis methods.
- Apply principles of reservoir characterization for accurate reserves estimation.
- Integrate geological, geophysical, and engineering data for comprehensive reserves evaluation.
- Conduct uncertainty analysis and risk assessment in reserves estimation.
DAY 1
Fundamentals of Reserves and Resources
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- Definitions: Reserves vs. resources
- Classification systems: SPE-PRMS, SEC guidelines, and others
- Key principles in reserves estimation and reporting
- Exercises: Classifying reserves using real-world examples
DAY 2
Geological and Volumetric Estimation Techniques
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- Reservoir characterization for reserves estimation
- Volumetric calculations: porosity, saturation, and net pay
- Determining uncertainty in volumetric estimates
- Exercises: Estimating reserves using volumetric methods
DAY 3
Material Balance and Decline Curve Analysis
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- Material balance principles and applications
- Decline curve analysis: exponential, hyperbolic, and harmonic methods
- Forecasting future production using decline curves
- Exercises: Estimating reserves using material balance and decline curve analysis
DAY 4
Advanced Methods and Data Integration
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- Dynamic modeling for reserves estimation
- Integration of geological, geophysical, and engineering data
- Reserves evaluation in unconventional reservoirs (shale gas, tight oil)
- Exercises: Combining multiple datasets for reserves estimation
DAY 5
Uncertainty Analysis, Risk Assessment, and Reporting
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- Handling uncertainty in reserves estimation
- Monte Carlo simulations and probabilistic methods
- Reserves reporting standards and audit requirements
- Case studies: Best practices in reserves evaluation and reporting
- Final exercises: Preparing a reserves report for a sample field
