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A Convergent Algorithm for Time Parallelization Applied to Reservoir Simulation

  • Izaskun Garrido
  • Magne S. Espedal
  • Gunnar E. Fladmark
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 40)

Summary

Parallel methods are not usually applied to the time domain because the sequential nature of time is considered to be a handicap for the development of competitive algorithms. However, this sequential nature can also play to our advantage by ensuring convergence within a given number of iterations. The novel parallel algorithm presented in this paper acts as a predictor corrector improving both speed and accuracy with respect to the sequential solvers. Experiments using our in house fluid flow simulator in porous media, Athena, show that our parallel implementation exhibit an optimal speed up relative to the method.

Keywords

Domain Decomposition Newton Iteration Sequential Nature Wall Clock Time Initial Boundary Condition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Izaskun Garrido
    • 1
  • Magne S. Espedal
    • 1
  • Gunnar E. Fladmark
    • 1
  1. 1.LIM/CIPRUniversity of BergenBergen

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