Abstract
This paper presents our work on developing parallel reservoir simulators for modeling of fluid flows in porous media on distributed-memory parallel systems and studying the scalability of our reservoir simulators. These reservoir simulators are based on our in-house parallel platform, which provides grids, data, distributed-memory matrices and vectors, linear solvers, preconditioners, and well modeling. A standard black oil simulator, a two-phase oil-water simulator and simulators for extended models, such as polymer flooding and naturally fractured reservoirs, have been implemented. New preconditioners have been designed for the black oil and compositional models. Benchmarks show that the results from our parallel simulators match those from commercial simulators. Our parallel simulators are thousands of times faster than sequential simulators, and they have excellent scalability.
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