Programme Overview
Training Description
- Reservoir engineers
- Petroleum engineers
- Production engineers
- Reservoir simulation engineers
- PVT and fluid characterization specialists
- Petroleum geoscientists
- EOR specialists
- Compositional modelling professionals
- Gas-condensate and volatile-oil specialists
- Reservoir management professionals
- Field development engineers
- Well and production optimization professionals
- Oil & gas technical managers
- Petroleum engineering consultants
Session 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
About the Course
The GEM Compositional Modelling & Phase Behaviour with WinProp Training Course provides participants with advanced knowledge and practical skills in compositional reservoir simulation, fluid characterization, and phase-behaviour modelling using WinProp and GEM. The course focuses on building reliable fluid models and applying compositional simulation techniques to complex reservoir and production scenarios.
Participants will learn how to characterize reservoir fluids, develop and tune equations of state (EOS), perform phase-behaviour calculations, construct PVT models, and prepare compositional fluid descriptions for simulation. The training also explores how compositional models can be applied to gas injection, miscible processes, volatile oil and gas-condensate reservoirs, enhanced oil recovery, and other challenging reservoir condThrough practical exercises and case studies, participants will develop the ability to build, validate, and apply compositional models, interpret phase-behaviour results, troubleshoot modelling challenges, and improve the reliability of reservoir simulation studies.itions.
Curriculum & Topics
14 Topics | 70 Sessions
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Workshop 1.1: Principles of compositional simulation
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Workshop 1.2: Applications in gas and condensate reservoirs
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Workshop 1.3: Differences from black oil models
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Workshop 1.4: Overview of GEM and WinProp capabilities
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Workshop 1.5: Case study examples
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Workshop 2.1: Properties of reservoir fluids
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Workshop 2.2: Phase envelopes and critical points
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Workshop 2.3: Retrograde condensation and its impact
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Workshop 2.4: Retrograde condensation and its impact
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Workshop 2.5: Visualizing phase diagrams
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Workshop 3.1: Peng-Robinson and Soave-Redlich-Kwong EoS
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Workshop 3.2: EoS tuning and calibration principles
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Workshop 3.3: Role of binary interaction coefficients
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Workshop 3.4: Common challenges in EoS application
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Workshop 3.5: Role of binary interaction coefficients
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Workshop 4.1: Laboratory PVT experiment workflows
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Workshop 4.2: Constant composition expansion tests
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Workshop 4.3: Differential liberation tests
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Workshop 4.4: Swelling and slim-tube tests
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Workshop 4.5: Importing PVT data into WinProp
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Workshop 5.1: Creating compositional fluid models
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Workshop 5.2: Inputting component data and fractions
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Workshop 5.3: Generating phase envelopes
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Workshop 5.4: Tuning EoS with experimental data
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Workshop 5.5: Exporting models to GEM
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Workshop 6.1: Setting up GEM projects
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Workshop 6.2: Grid design and initialization
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Workshop 6.3: Assigning compositional properties
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Workshop 6.4: Linking GEM with WinProp models
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Workshop 6.5: Running base case simulations
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Workshop 7.1: Modeling dry and wet gas reservoirs
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Workshop 7.2: Condensate gas reservoir challenges
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Workshop 7.3: Simulation of depletion performance
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Workshop 7.4: Impact of pressure maintenance strategies
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Workshop 7.5: Case studies in gas simulation
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Workshop 8.1: Mechanisms of condensate banking
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Workshop 8.2: Impact on reservoir deliverability
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Workshop 8.3: Modeling retrograde condensation in GEM
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Workshop 8.4: Mitigation strategies in simulation
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Workshop 8.5: Practical exercises
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Workshop 9.1: Fundamentals of miscibility
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Workshop 9.2: Slim-tube and MMP experiments
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Workshop 9.3: Modeling gas injection projects
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Workshop 9.4: Effectiveness of miscible flooding
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Workshop 9.5: Simulation of immiscible displacement
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Workshop 10.1: Properties of volatile oil systems
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Workshop 10.2: Differences from black oil and gas condensate reservoirs
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Workshop 10.3: Simulation strategies in GEM
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Workshop 10.4: Predicting production performance
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Workshop 10.5: Case examples in volatile oil reservoirs
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Workshop 11.1: Principles of history matching for compositional reservoirs
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Workshop 11.2: Adjusting fluid properties and EoS parameters
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Workshop 11.3: Using production data in calibration
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Workshop 11.4: Iterative workflows in GEM
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Workshop 11.5: Case studies of history matching
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Workshop 12.1: Building forecast scenarios
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Workshop 12.2: Short-term and long-term forecasting
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Workshop 12.3: Uncertainty in compositional forecasts
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Workshop 12.4: Short-term and long-term forecasting
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Workshop 12.5: Practical forecasting examples
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Workshop 13.1: Adjusting fluid properties and EoS parameters
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Workshop 13.2: Generating plots and maps
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Workshop 13.3: Reporting simulation results
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Workshop 13.4: Communicating findings to stakeholders
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Workshop 13.5: Preparing technical documentation
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Workshop 14.1: Advances in compositional modeling techniques
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Workshop 14.2: AI and machine learning in PVT prediction
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Workshop 14.3: Cloud-based simulation workflows
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Workshop 14.4: Integration with real-time field data
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Workshop 14.5: Integration with real-time field data