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Thursday, March 3 • 10:50am - 11:10am
Algorithms & Accelerators II: Experience with Two-stage Constraint Pressure Residual Preconditioning in Production Reservoir Simulation

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Numerical reservoir simulation is an important tool for the oil and gas industry. It is used to aid the development and forecasting of hydrocarbon reservoirs. With recent advances in parallel reservoir simulation, we have the capability to simulate larger and more realistic problems in much short time frame than ever before. In a fully-implicit simulator, most of the computational time is spent on solving a sequence of large-scale and ill-conditioned Jacobian resulting from the discretization of the material balance equations. Consequently, an efficient preconditioning strategy is required.

In this talk, we share our experience on using CPR (Constrained Pressure Residual) and BILU (Block Incomplete LU) preconditioners for large scale linear systems resulting from black-oil and compositional reservoir simulations on massively parallel computing architectures. Our numerical findings demonstrate that the CPR preconditioner is more efficient than BILU when running on a moderate core count, while the superior scalability of BILU makes it the preferred choice on larger core counts. This illustrates the importance of having multiple preconditioning options.

Thursday March 3, 2016 10:50am - 11:10am
BioScience Research Collaborative Building (BRC), Room 280 & 282

Attendees (2)