Summary
An important task in reservoir description is the integration different types of information in order to improve predictions of recoverable reserves. Sequential gaussian cosimulation is a method which produces a series of equiprobable models of one or more continuous properties by incorporating different types of information. Two applications of the method are: 1) the joint simulation of several properties such as horizontal and vertical permeabilities; and 2) the simulation of one property, e.g. porosity, in the light of two types of information, e.g. core measurements and seismic data. The method is simple and flexible. It reproduces the frequency distributions, and the auto- and cross-correlation functions of the properties involved. It also honours the property values where they are known. In this paper, sequential gaussian cosimulation is presented and illustrated by means of a case study. Some practical implementation aspects are also discussed.
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© 1993 Kluwer Academic Publishers
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Verly, G.W. (1993). Sequential Gaussian Cosimulation: A Simulation Method Integrating Several Types of Information. In: Soares, A. (eds) Geostatistics Tróia ’92. Quantitative Geology and Geostatistics, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1739-5_42
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DOI: https://doi.org/10.1007/978-94-011-1739-5_42
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