Method, system and electronic device for automatic generation of a three-dimensional geological model

By using methods and verification techniques under the Agentic RAG paradigm and introducing reinforcement learning techniques, the problem of the inability to automatically generate 3D geological models in existing technologies has been solved. This approach addresses the issue of existing technologies being unable to automatically generate 3D geological models, enabling efficient and automated 3D geological model generation.

CN121685867BActive Publication Date: 2026-06-26CHINA COAL (TIANJIN) UNDERGROUND ENG INTELLIGENCE RES INST CO LTD +1
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Patent Information

Application Number
CN202610202324.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-12
Publication Date
2026-06-26
Estimated Expiration
2046-02-12

AI Technical Summary

Technical Problem

Existing technologies cannot automatically generate three-dimensional geological models, and large models suffer from black-box generation and knowledge solidification issues during the modeling process.

Method used

By introducing the Agentic RAG paradigm, a large model generated after reinforcement learning is used to generate a modeling instruction flow. Combined with problem-to-problem reverse index matching technology, the autonomous generation and verification of the modeling instruction flow are realized. Optical character recognition technology is used to process the modeling data, and a knowledge base is built for storing feedback information and updating the model.

Benefits of technology

It significantly improves the accuracy and efficiency of modeling instruction flow generation, realizes full-process automation from requirement input to 3D geological model generation, reduces the cost of manual intervention, and overcomes the problems of large model illusion and knowledge update lag.

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Abstract

The present application relates to the technical field of computer modeling, and particularly relates to a three-dimensional geological model automatic generation method, system and electronic equipment, the method comprises the following steps: obtaining three-dimensional geological modeling requirement data and modeling data input by a user, and processing the modeling data; generating a modeling instruction stream through a large model after reinforcement learning, and performing feasibility verification on the generated modeling instruction stream; if the verification result is feasible, the modeling instruction stream is sent to a three-dimensional geological modeling software to generate a three-dimensional geological model; obtaining feedback information of a modeling expert adjusting the three-dimensional geological model and diagnosing and analyzing the modeling instruction stream generated by the large model, and storing the feedback information in a knowledge base; if the verification result is unfeasible, problem matching is performed in the knowledge base, and the result is input to the large model, after analysis, a modeling instruction stream is regenerated to drive the three-dimensional modeling software to model; thus, the present application can automatically generate a three-dimensional geological model.
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