Modeling Complex Processes
Enhanced Oil Recovery processes usually involve complex phase behaviors between the injected and in-situ fluids. We model the multiphase behavior using a robust negative-flash based tie-simplex parameterization approach. Application of our technique significantly improves the stability, accuracy and efficiency of the multiphase thermal-compositional simulation.
Unstructured Grids
Flexibility of unstructured grids allows accurate representation of complex geometry. These techniques are used for discrete feature modeling and flow simulation in the near-well region.
Nonlinear solvers
Convergence of the Fully Implicit Method usually requires special nonlinear solvers. Here, we compare a number of nonlinear iterations needed to solve a problem of compositional flow for four different solvers: (1) used a local chop and (2) flash reduction of the unknowns; also (3) based on under-relaxation, and (4) trust-regions of a flux function.
Our Reservoir Simulation Research program (SUPRI-B) is dedicated not only to the research and development of techniques that enhance the value of the reservoir simulation technology, but also to the education of future leaders in this field and the broader energy industry. We review our research for member companies (more than 20 affiliates) each year in a workshop at Stanford University and provide members with quick access to the results of our work. We actively seek to collaborate with member companies on specific projects.
Upcoming Events
2012 Summer Short Course
Fundamentals of Reservoir Simulation
Instructors: Khalid Aziz, Lou Durlofsky & Hamdi Tchelepi
This course will cover both fundamentals and selected advanced topics in reservoir simulation.
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