Bayesian sequential Gaussian simulation of lithology with non-li

Communications – electrical: acoustic wave systems and devices – Seismic prospecting – Land-reflection type

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367 14, 367 15, 364421, G01V 140, G01V 134

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055397042

ABSTRACT:
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.

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