This course deals with various algorithms, concepts and the possible uses of reservoir simulators in creating dynamic reservoir models. Focus is on generating stable and efficient simulation models that will minimize numerical errors and enable reliable predictions. Black-Oil and compositional model formulations as well as different grid types and solution techniques are presented to improve understanding of numerical reservoir simulation. Assumptions involved in different simulation features, extension or formulations and their influence on the results are discussed. Typical input data with associated uncertainties are presented, industry standard workflows from initialisation to history match and predictions are discussed.
Course Level: Skill Instructor: Leonhard Ganzer
Designed for you, if you are...
A reservoir engineer or in possession of skills in reservoir engineering
Interested in improving your understanding of reservoir simulation
How we build your confidence
Technologies used within reservoir simulators are explained by simple examples and slides. Reservoir simulation will be no black-box anymore. You will be encouraged to engage in discussions on your experience with simulation studies. Best practices and simulation artefacts are explained with examples useful for your projects. Exchange among participants during the course is stimulated to optimise the learning event.