Accounting for Local Probabilities in Stochastic Modeling of Facies

Permission to copy is restricted to an abstract of not more than 300 words. Illustrations may not be copied. The abstract should contain conspicuous acknowledgement of where and by whom the paper was presented. Abstract This paper proposes an annealing-type algorithm for generating multiple realizations of facies distributions that: (i) honor the facies data at well locations, (ii) match global proportions of facies, (iii) reproduce spatial continuity and transition probabilities between facies, (iiii) account for prior information such as trend or gradient in facies proportions or the absence of a facies in any particular area. A case-study shows the realizations to reproduce important features of the reference categorical map. A waterrood simulation indicates that the algorithm allows a reduction of the space of uncertainty of ow response values.