Bayesian Inference Method for Fracture Surface Morphology Under Gravity Constraint

Abstract

The present invention provides a Bayesian inference method for the shape of the fracture surface under the constraint of gravity, which includes: step 1, discretizing the three-dimensional geological space to which the target fracture surface belongs; The priori function is used to calculate the prior probability of the target fracture surface; Step 3 is to calculate the geophysical forward value of the target fracture surface according to the given physical property distribution. The invention infers the shape of the fracture surface based on the Bayesian model combined with gravity and geological prior information, uses the Markov Monte Carlo algorithm to infer the posterior probability distribution of the shape of the fracture surface, and combines the information entropy algorithm to visualize the uncertainty space of the deep shape of the fracture surface distribution, effectively alleviate the uncertainty of deep shape caused by relying solely on geophysical inversion or geological inference, and improve the accuracy and effectiveness of the deep three-dimensional structure reconstruction of the fault surface.

Description

technical field [0001] The invention relates to the technical field of three-dimensional geological modeling, in particular to a Bayesian inference method for the shape of a fracture surface under gravity constraint. Background technique [0002] In the three-dimensional quantitative prediction of mineral resources, the problem of scarcity of data in the deep metallogenic parts of the study area is often involved. In areas supported by geological exploration engineering, some highly reliable drilling data and geological profile data can be obtained for near-surface and shallow structure inference. Such data with large errors can seriously affect the modeling accuracy. Traditional geophysical inversion-based metallogenic predictions have always had multiple solutions, which limited the authenticity and validity of the results. SUMMARY OF THE INVENTION [0003] The invention provides a Bayesian inference method for the fracture surface shape under gravity constraint, the p...

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Problems solved by technology

[0003] The present invention provides a Bayesian inference method for the shape of the fracture surface under the constraint of gravity, the purpose of which is to solve the problem of multiple solutions in the traditional mineralization prediction based on geophysical inversion, which leads to the authenticity and effectiveness of the prediction results restricted question

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