Hybrid parallel iterative sparse linear solver framework for reservoir geomechanical and flow simulation

We discuss new developments of a hybrid parallel iterative sparse linear solver framework focused on petroleum reservoir flow and geomechanical simulation. It runs efficiently on several platforms, from desktop workstations to clusters of multicore nodes, with or without multiple GPUs, using a two-tier hierarchical architecture for distributed matrices and vectors. Results show good parallel scalability. Comparisons with a well-established library and a proprietary commercial solver indicate that our solver is competitive with the best available tools. We present results of the solver?s application to simulations of real and synthetic reservoir models of up to billions of unknowns, running on CPUs and GPUs on up to 2000 processes.

Automated summary

The study discusses a new hybrid parallel iterative sparse linear solver framework optimized for petroleum reservoir flow and geomechanical simulation. It demonstrates good parallel scalability and competitive performance compared to established tools. Results showed successful application of the solver to simulations of real and synthetic reservoir models with billions of unknowns running on CPUs and GPUs with up to 2000 processes.