Modeling optimization method and device of geologic model, equipment, storage medium and product
By constructing the initial geological voxel model in three-dimensional geological modeling, optimizing using horizontal set function and genetic algorithm, and optimizing in the subdivided resolution with gravity anomaly information, the problem of low accuracy and reliability of geological voxel model in the existing technology is solved, and a higher resolution and more accurate geological model is achieved.
CN120355857APending Publication Date: 2025-07-22GUILIN TOURISM UNIV
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Patent Information
- Application Number
- CN202510355855.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-25
- Publication Date
- 2025-07-22
AI Technical Summary
Technical Problem
The geological voxel model constructed by the existing three-dimensional geological modeling method has low accuracy and reliability, making it difficult to accurately reflect the true geological structure of the research area.
Method used
By constructing the initial geological voxel model, the initial voxel level set function is modeled using horizontal set function, and the rough resolution optimization is performed in combination with the genetic algorithm, and then the subdivided resolution optimization is used to generate the target geological model.
Benefits of technology
The resolution and accuracy of the geological model are improved, so that the target geological model can more accurately reflect the real geological structure of the area to be studied.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a modeling optimization method and device of a geological model, equipment, a storage medium and a product, and relates to the technical field of geological sciences, and the method comprises the steps: constructing an initial geological voxel model based on the geological information of a to-be-researched region; performing level set function modeling on each geological interface to obtain a plurality of initial voxel level set functions; based on each initial voxel level set function, performing gravity anomaly forward modeling to obtain theoretical gravity anomaly information; based on a genetic algorithm, optimizing each initial voxel level set function to obtain a coarse resolution geologic voxel model; and based on the actual gravity anomaly information and the theoretical gravity anomaly information, performing fine resolution optimization on the coarse resolution geologic voxel model to obtain a target geologic model. Through the above mode, the resolution of the model can be effectively improved, the accuracy and reliability of the target geologic model are ensured, and the target geologic model can accurately reflect the real geologic structure of the to-be-studied area.
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