Underground rock stratum generation method and system based on radial basis implicit interpolator

By selecting representative radial basis function center points and using GPU parallel acceleration technology, combined with geological constraints and gradient descent smoothing optimization, the problem of low efficiency in existing technologies is solved, generating an efficient and reliable underground rock layer model that meets the modeling needs under complex geological conditions.

CN122452146APending Publication Date: 2026-07-24BEIJING HKRSOFT TECH CO LTD
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Patent Information

Application Number
CN202610611028.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-06
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing radial basis implicit interpolation methods are inefficient when processing massive amounts of geological data, making it difficult to meet the needs of rapid modeling and to effectively construct underground rock strata under complex geological conditions.

Method used

By selecting representative radial basis function center points and combining GPU parallel acceleration technology, a radial basis implicit interpolation model is constructed. Geological constraints and gradient descent smoothing optimization are introduced to generate an efficient and reliable underground rock strata model.

Benefits of technology

It achieves efficient processing of large-scale geological data, and the generated geological model achieves a good balance between efficiency and accuracy, ensuring the geological rationality and spatial continuity of the model.

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Abstract

The invention provides an underground rock stratum generation method and system based on a radial basis implicit interpolator, and belongs to the technical field of geological modeling. The method comprises the steps of generating a radial basis function center point based on acquired discrete geological data; constructing a radial basis implicit interpolation model through GPU parallel acceleration; according to a preset geological constraint, constructing a boundary condition and an optimization target of the radial basis implicit interpolation model; adjusting parameters of the radial basis implicit interpolation model; a contour surface representing a target rock stratum interface is extracted, and an initial rock stratum surface curved surface is obtained; and performing gradient descent smooth optimization on the initial rock stratum surface curved surface to obtain an underground rock stratum surface. According to the method, the representative radial basis center point is selected from a large amount of discrete data, so that the problem of kernel matrix expansion caused by using all data points in a traditional method is fundamentally avoided. And in combination with a GPU parallel acceleration technology, the calculation complexity and memory consumption are reduced, and efficient processing of large-scale geological data is realized.
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