A Two-point Geostatistical Modeling Method Based on Sublinear Expectation

Abstract

This application provides a two-point geostatistical modeling method based on sublinear expectation, by combining sublinear expectation theory and two-point geostatistics, using the sublinear theorem of large numbers in sublinear expectation theory to calculate the mean value and variogram Under the premise of objective and quantitative evaluation of the uncertainty of the stochastic model, a series of equally possible realizations are generated, so as to comprehensively reflect the influence of the uncertainty of the stochastic model and the randomness of variables on geological modeling, and obtain more robust estimation of geological parameters.

Description

technical field [0001] The present application relates to the technical field of geological modeling of oil and gas reservoirs, in particular, to a two-point geostatistical modeling method based on sublinear expectations. Background technique [0002] The geological model of oil and gas reservoirs has high heterogeneity, but the hard data of well points is often sparse, and the accuracy of soft data such as seismic inversion is generally low. Therefore, the geological model has inherent uncertainty. In this regard, the stochastic modeling method in geostatistics is generally used to construct a series of equally possible realizations, so as to reflect the uncertainty of the geological model. In addition, the results of geostatistical modeling are affected by the randomness of geological parameter variables and the uncertainty of the stochastic model, and in many cases, it is difficult to fully reflect the geological model of oil and gas reservoirs by using a single stochasti...

AI Technical Summary

Problems solved by technology

[0003] In view of the problems existing in the prior art, this application provides a two-point geostatistical modeling method based on sublinear expectations, which can objectively determine the variation range of the random model to solve the existing two-point geostatistical modeling method The evaluation of the uncertainty of medium stochastic models depends on the problem of subjective experience, so as to obtain more robust estimation of geological parameters

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