Chemical EOR Modelling using STARS & GEM
Who should attend
This three-day course is primarily designed for engineers, geologists, or other technical personnel who would like to learn about the details of chemical flooding simulations with alkaline, surfactants, and/or polymers (ASP) using CMG's compositional simulator, GEM. The topics will progress from laboratory design through simulations to field implementation. Combining laboratory evaluations with the proper numerical simulation technology will greatly enhance the planning of a successful chemical flooding process data, and analyze the results
Additionally, the course will also introduce other chemical EOR techniques like in situ gelation and foam flooding. CMG’s advanced process simulator, STARS will be used for modelling these processes. Builder and Results packages will be used extensively to create, modify data, and analyze the results. Hands-on exercises from laboratory matching to field-scale simulation will be included to assist users in building a typical chemical flooding dataset. CMG’s assisted history matching and optimization tool, CMOST will be used extensively during this course.
Hands-on exercises from laboratory matching to field-scale simulation will be included to assist users in building a typical chemical flooding dataset.
- Basic theory of chemical flooding
- Concepts of laboratory evaluations:
- Water/oil relative permeability curve changes (interpolation based on composition)
- Phase behavior and lowering of the interfacial tension
- Coreflood design and evaluation
- Construct a GEM simulation dataset to history match an actual laboratory experiment of an ASP core flood
- Use of CMOST, CMG's assisted history matching tool, to match the ASP core flood experiment results
- Scale up to field size simulation models
- Optimize the design of a chemical flood using CMOST
- Modeling gel injection using STARS
- Introduction to foam modelling. Simulation of the foam injection process (both empirical and mechanistic) using STARS.
Email or Phone at +1.403.531.1300.