ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC

Improvements for direct sampling stochastic simulation and GPU implementation

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2013.08.004
  • Received Date: 29 March 2013
  • Rev Recd Date: 17 April 2013
  • Publish Date: 31 August 2013
  • The direct sampling stochastic simulation method for reservoir modeling was discussed, the selection of geological pattern component was improved, and a method was presented which combined the structural characteristic information of the spatial relationship with the pattern component. CUDA (compute unified device architecture)-based parallel strategies were also proposed for obtaining an optimal solution within the pattern subspaces. Experimental results show that the proposition of the pattern component selection greatly improves the large-scale continuity of the sand channels in the two-facies sedimentary system. Further, the parallel computing method for solving the pattern subspace has small time complexity. The parallel computational efficiency on GPU shows a 10X to 100X improvement compared with the serial implementation with different computing parameters.
    The direct sampling stochastic simulation method for reservoir modeling was discussed, the selection of geological pattern component was improved, and a method was presented which combined the structural characteristic information of the spatial relationship with the pattern component. CUDA (compute unified device architecture)-based parallel strategies were also proposed for obtaining an optimal solution within the pattern subspaces. Experimental results show that the proposition of the pattern component selection greatly improves the large-scale continuity of the sand channels in the two-facies sedimentary system. Further, the parallel computing method for solving the pattern subspace has small time complexity. The parallel computational efficiency on GPU shows a 10X to 100X improvement compared with the serial implementation with different computing parameters.
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