Accurate modeling of fluid phase behavior is essential for understanding the performance of gas, condensate, and volatile oil reservoirs. CMG’s GEM simulator, coupled with WinProp, provides industry-leading tools for compositional modeling, enabling engineers to simulate complex phase behavior, apply equations of state (EoS), and integrate PVT data into dynamic reservoir models. This training course focuses on compositional reservoir simulations using GEM and WinProp, equipping participants with practical knowledge of phase behavior, PVT modeling, and advanced compositional workflows for both conventional and unconventional reservoirs.

Through hands-on exercises and real-world case studies, participants will gain experience in constructing compositional models, calibrating EoS with laboratory data, and simulating key processes such as gas cycling, miscible flooding, and condensate banking. Emphasis is placed on applying PVT models to predict reservoir performance under various recovery strategies and operating conditions. By the end of the training, attendees will be able to use GEM and WinProp effectively to analyze reservoir fluid systems and optimize field development.

Duration: 10 Days

Target Audience

• Reservoir engineers
• Petroleum engineers
• Simulation specialists
• PVT laboratory analysts
• Geoscientists and geologists
• Production engineers
• Oil and gas consultants
• Field development planners
• Data scientists in petroleum modeling
• Subsurface engineers
• Graduate students in petroleum engineering

Objectives

• Understand the fundamentals of compositional reservoir simulation
• Build compositional models using CMG GEM and WinProp
• Apply equations of state (EoS) for phase behavior modeling
• Integrate PVT data into compositional workflows
• Simulate gas and condensate reservoir performance
• Model miscible and immiscible displacement processes
• Calibrate models with laboratory and field data
• Analyze condensate banking and retrograde condensation
• Perform uncertainty and sensitivity analysis in compositional models
• Forecast production performance under various recovery strategies
• Optimize gas injection and cycling projects
• Apply best practices in compositional modeling and reporting

Course Modules

Module 1: Introduction to Compositional Modeling

• Principles of compositional simulation
• Applications in gas and condensate reservoirs
• Overview of GEM and WinProp capabilities
• Differences from black oil models
• Case study examples

Module 2: Fundamentals of Fluid Phase Behaviour

• Properties of reservoir fluids
• Phase envelopes and critical points
• Retrograde condensation and its impact
• Multi-component system behavior
• Visualizing phase diagrams

Module 3: Introduction to Equations of State (EoS)

• Peng-Robinson and Soave-Redlich-Kwong EoS
• EoS tuning and calibration principles
• Role of binary interaction coefficients
• Common challenges in EoS application
• Case examples in EoS modeling

Module 4: PVT Data Analysis and Integration

• Laboratory PVT experiment workflows
• Constant composition expansion tests
• Differential liberation tests
• Swelling and slim-tube tests
• Importing PVT data into WinProp

Module 5: Building Fluid Models in WinProp

• Creating compositional fluid models
• Inputting component data and fractions
• Generating phase envelopes
• Tuning EoS with experimental data
• Exporting models to GEM

Module 6: GEM Simulation Fundamentals

• Setting up GEM projects
• Grid design and initialization
• Assigning compositional properties
• Linking GEM with WinProp models
• Running base case simulations

Module 7: Gas Reservoir Simulation Workflows

• Modeling dry and wet gas reservoirs
• Condensate gas reservoir challenges
• Simulation of depletion performance
• Impact of pressure maintenance strategies
• Case studies in gas simulation

Module 8: Condensate Banking and Retrograde Condensation

• Mechanisms of condensate banking
• Impact on reservoir deliverability
• Modeling retrograde condensation in GEM
• Mitigation strategies in simulation
• Practical exercises

Module 9: Miscible and Immiscible Gas Injection

• Fundamentals of miscibility
• Slim-tube and MMP experiments
• Modeling gas injection projects
• Effectiveness of miscible flooding
• Simulation of immiscible displacement

Module 10: Volatile Oil Reservoir Simulation

• Properties of volatile oil systems
• Differences from black oil and gas condensate reservoirs
• Simulation strategies in GEM
• Predicting production performance
• Case examples in volatile oil reservoirs

Module 11: History Matching in Compositional Models

• Principles of history matching for compositional reservoirs
• Adjusting fluid properties and EoS parameters
• Using production data in calibration
• Iterative workflows in GEM
• Case studies of history matching

Module 12: Forecasting Production with GEM

• Building forecast scenarios
• Short-term and long-term forecasting
• Uncertainty in compositional forecasts
• Economic impact of forecast results
• Practical forecasting examples

Module 13: Enhanced Recovery in Compositional Models

• Gas cycling strategies
• CO₂ injection for miscible flooding
• Chemical EOR in compositional systems
• Evaluating incremental recovery
• Case studies of EOR in GEM

Module 14: Visualization and Reporting

• Visualization tools in GEM and WinProp
• Generating plots and maps
• Reporting simulation results
• Communicating findings to stakeholders
• Preparing technical documentation

Module 15: Future of Compositional Simulation

• Advances in compositional modeling techniques
• AI and machine learning in PVT prediction
• Cloud-based simulation workflows
• Integration with real-time field data
• Future trends in reservoir compositional analysis

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.