Course Overview
This course offers a comprehensive exploration of integrated reservoir modeling techniques used to characterize, simulate, and predict reservoir behavior. Participants will learn how to combine geological, petrophysical, geophysical, and engineering data into cohesive reservoir models to support decision-making and optimize hydrocarbon recovery. The course emphasizes practical applications of reservoir modeling software, data integration strategies, and uncertainty analysis.
Course Objectives
By the end of this course, participants will be able to:
- Understand the principles and components of integrated reservoir modeling
- Collect, analyze, and integrate multidisciplinary data for reservoir characterization
- Build and validate static and dynamic reservoir models
- Perform reservoir simulation to predict performance under various development scenarios
- Conduct uncertainty and sensitivity analyses to support risk-informed decisions
- Apply reservoir models for history matching, reserves estimation, and production forecasting
- Collaborate effectively across disciplines to improve reservoir management
- Utilize industry-standard software tools for reservoir modeling
Who Should Attend
- Reservoir engineers and simulation specialists
- Geologists and petrophysicists involved in reservoir characterization
- Production engineers interested in reservoir performance
- Geophysicists supporting reservoir development
- Asset managers and decision-makers involved in field development planning
- Professionals seeking to deepen their understanding of reservoir modeling integration
Course Content
Fundamentals of Reservoir Modeling
- Introduction to reservoir modeling concepts and objectives
- Overview of static vs. dynamic models
- Key reservoir parameters and data types
Data Collection and Integration
- Geological data: facies, structure, and stratigraphy
- Petrophysical data: porosity, permeability, saturation
- Geophysical data and seismic interpretation
- Production and well data integration
Building Static Reservoir Models
- Structural and stratigraphic modeling
- Property modeling and upscaling techniques
- Model grid design and refinement
Dynamic Reservoir Simulation
- Fundamentals of reservoir simulation
- Fluid flow equations and reservoir performance prediction
- Setting up simulation cases and scenarios
History Matching and Model Calibration
- Techniques for matching simulation results with production data
- Adjusting model parameters to improve accuracy
- Use of automated and manual history matching tools
Uncertainty and Sensitivity Analysis
- Identifying key uncertainties in reservoir models
- Probabilistic modeling and risk assessment
- Scenario analysis for decision support
Applications of Integrated Reservoir Models
- Reserves estimation and forecasting
- Field development planning and optimization
- Enhanced oil recovery (EOR) planning
Software Tools and Practical Exercises
- Overview of popular reservoir modeling software
- Hands-on exercises in data integration, modeling, and simulation
- Case studies demonstrating integrated reservoir modeling success