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- W2113996651 abstract "ABSTRACT Simulated annealing (SA) techniques have shown great potential to generate geologically realistic permeability fields by combining data from many sources, such as well logs, cores, and tracer tests. However, the application of SA in reservoir description and simulation is limited owing to its prohibitively large computational time requirement, even on modern supercomputers. This paper introduces an implementation of a parallel SA algorithm for stochastic reservoir modeling on a Hypercube processor network (Intel iPSC 860). The corresponding sequential code, which incorporates univariate and bivariate statistics to generate the permeability field, is optimized to gain maximum advantage from the parallel application. In this particular parallel implementation, each processor runs the same source code asynchronously using the single-instruction-multiple-data (SIMD) approach, with synchronization linked to an optimality test. By porting the SA algorithm to a parallel computer we can generate permeability fields that represent non-Gaussian bivariate statistics and complex flow geometry at a finer scale than was previously feasible." @default.
- W2113996651 created "2016-06-24" @default.
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- W2113996651 date "1993-10-03" @default.
- W2113996651 modified "2023-10-16" @default.
- W2113996651 title "Parallel Simulated Annealing for Stochastic Reservoir Modeling" @default.
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- W2113996651 doi "https://doi.org/10.2118/26418-ms" @default.
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