Who should attend?

This course is designed for experienced reservoir engineers who have been involved in constructing reservoir models and performing simulation studies for field recovery optimization. Attendees should have a basic knowledge of reservoir simulation.

About the course

This is a comprehensive course that offers the practicing reservoir engineer advance topics on history matching process and field optimization through simulation studies. Participates are introduced to key issues that are faced during the development and implementation of reservoir models of complex reservoirs systems.

You will learn

• Having a deep understand of reservoir simulation to advance level
• Perform history matching process
• Understand how to do field optimization through simulation studies
• Prepare fluid and rock property data in the manner required for simulation studies
• Learn key issues are faced during the development and implementation of reservoir models of complex.

Course content

Compositional Simulation

• Compositional Balance
• Black Oil Simulation
• Rock and Fluid Properties for Black Oil Simulation
• Model Construction
• Sensitivity of Results to Data Accuracy
• Property Distributions to the Simulator
• Initial Pressure and Saturation Distributions
• Treatment of Wells and Well Management
• Treatment of Wells and Well Management
• Multi-layer Well Models
• Mobility Weighting
• Material Balance Checks
•  Fully-implicit Formulation
• Semi-implicit Formulation
• Solution Techniques at the Partial Differential Equation Level
• Simultaneous Solution Approach
• Implicit Pressure Explicit Saturation Approach
• Solution Algorithms for System of Algebraic Equations
• Conjugate Gradient Method
• Generalized Newton-Raphson Method
• Interpolation Techniques
• Least Squares Method
• Lagrangian Interpolation
• Splines
• History Matching and Forecasting Future Performance
• Modeling Historical Reservoir Performance
• Strategy and Plans for History Matching
• Manual and Automatic History Matching
• Planning the Prediction Cases to be Run
• Predicted Performance
• Variable Bubble Point Formulation
• Automatic Time Step Size Selector
• Limiting Numerical Dispersion
• Grid Orientation Effects
• Grid Reordering
• Relationships Between Classical Reservoir Analysis Tools and Reservoir Simulation
• Neuro-Simulation Methodology.