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Abstract

D-45 AN AUTOMATIC HISTORY MATCHING EXAMPLE Summary 1 F. ZHANG J. A. SKJERVHEIM and A. C. REYNOLDS Department of Petroleum Engineering University of Tulsa 600 South College Avenue Tulsa OK 74104-3189 USA Bayesian statistics provides a convenient formal framework for generating realizations of reservoir variables consistent with a prior geostatistical model and conditional to production data. (Here reservoir variables or model parameters refer to reservoir simulator gridblock log-permeabilities.) When the prior probability density function (pdf) for reservoir variables is multivariate Gaussian an approximate sampling of the a posteriori pdf can be conveniently obtained by applying the randomized maximum likelihood method.

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/content/papers/10.3997/2214-4609-pdb.6.D45
2003-06-02
2024-03-28
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