Author(s)

Kevin P. Parks & Laurence R. Bentley

Abstract

Simulated annealing is a global optimization method which permits stochastic generation of structured fields useful for populating simulator grids. Though computationally expensive, annealing methods have appeal because they allow incorporation of information from disparate sources to reduce the space of uncertainty explored. In this paper, Markov transitional structures are used to inform structure in two-dimensional categorical fields. Markov transitional structures can be derived from geological conceptual models, outcrop study, or core descriptions. They can be encoded into an objective function using the multipoint histogram approach. Some practical performance issues of using si

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