G - Physics – 06 – F
Patent
G - Physics
06
F
G06F 19/00 (2006.01) G01V 1/28 (2006.01) G01V 1/48 (2006.01) G01V 11/00 (2006.01)
Patent
CA 2178978
A multivariate stochastic simulation application that involves the mapping of a primary variable from a combination for sparse primary data and more densely sampled secondary data. The method is applicable when the relationship between the simulated primary variable and one or more secondary variables is non-linear. The method employs a Bayesian updating rule to build a local posterior distribution for the primary variable at each simulated location. The posterior distribution is the product of a Gaussian kernel function obtained by simple kriging of the primary variable and a secondary probability function obtained directly from a scatter diagram between primary and secondary variables.
Boer Lennert David Den
Doyen Philippe Marie
Cassan Maclean
Western Atlas International Inc.
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