Parallel Compositional Reservoir Simulation on Clusters of PCs

  • Authors:

  • Jason Abate;Peng Wang;Kamy Sepehrnoori

  • Affiliations:

  • Texas Institute for Computational and Applied Mathematics, University of Texas at Austin;Center for Petroleum and Geosystems Engineering, University of Texas at Austin;Center for Petroleum and Geosystems Engineering, University of Texas at Austin

  • Venue:
  • International Journal of High Performance Computing Applications
  • Year:
  • 2001

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Abstract

The authors have ported a fully implicit equation-of-state (EOS) compositional parallel reservoir simulator to run on clusters of PCs. They report on the performance of the code on two clusters, both in terms of scalability and in absolute performance relative to an IBM SP. The simulator scales well through 16 processors on the clusters and is comparable in execution time with the SP.