Stochastic reservoir modeling using simulated annealing and genetic algorithms
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This paper discusses and compares three different algorithms based on combinatorial optimization schemes for generating stochastic permeability fields. The algorithms are not restricted to generating Gaussian random fields and have the potential to accomplish geologic realism by combining data from many different sources. A "heat-bath' algorithm has been introduced for simulated annealing (SA) as an alternative to the commonly used "Metropolis' algorithm, and a new stochastic modeling technique based on the "genetic' algorithm is also presented. These algorithms were applied to a set of outcrop and tracer flow data and the associated uncertainties in predictions were examined. -from Authors
author list (cited authors)
Sen, M. K., Datta-Gupta, A., Stoffa, P. L., Lake, L. W., & Pope, G. A.