Course Overview

Day-by-Day Outline

Day 1 – Introduction to Reservoir Simulation

•  Role of simulation in reservoir management
•  Types of simulators: black oil, compositional, thermal
•  Building static and dynamic models
•  Grid systems: Cartesian, corner point, unstructured grids
•  Exercise: Create a simple grid for a reservoir sector model

Day 2 – Data Preparation and Property Modeling

•  Preparing geological, petrophysical, and fluid input data
•  Property upscaling methods
•  Assigning relative permeability and capillary pressure curves
•  Defining initial and boundary conditions
•  Workshop: Load and prepare input data for a synthetic field case

Day 3 – Running Simulation Models

•  Setting up well models and controls
•  Production and injection scenarios
•  Numerical solver basics and convergence issues
•  Model diagnostics and troubleshooting
•  Exercise: Run a base case simulation and analyze outputs

Day 4 – History Matching Techniques

•  Principles and workflows for history matching
•  Manual vs. assisted history matching
•  Adjusting reservoir and well parameters
•  Quantifying match quality with objective functions
•  Workshop: Perform history matching on synthetic production data

Day 5 – Forecasting, Optimization, and Uncertainty Analysis

•  Generating production forecasts and reserves estimates
•  Sensitivity analysis of key reservoir parameters
•  Optimization of well placement, rates, and development plans
•  Uncertainty quantification with probabilistic simulations
•  Capstone Project: Build, match, and forecast a full simulation model for a field case

Expected Learning Outcomes

•  Build reservoir simulation models from static and dynamic data
•  Prepare input data and set up wells, boundaries, and scenarios
•  Perform history matching to improve model reliability
•  Forecast production under different development strategies
•  Quantify uncertainties and optimize reservoir performance