Abstract
The optimization of hydrocarbon recovery by numerical reservoir simulation requires very high computing performance. Statoil has vectorized the iterative linear solver of the reservoir simulator currently in use in our IBM 3090-200 with satisfying speed-up factors. The vectorization of a direct linear solver has been investigated. As in scalar versions, a direct solver is faster than an iterative solver only for a few hundred cells. The increasing requirements of more sophisticated models require the power of parallel computing. We review the practical implementations of novel methods of using these supercomputing techniques in a reservoir simulator.
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