Deep rock mass pore topological configuration number and object fusion intelligent deduction method based on test

Through the intelligent deduction method of the pore topological configuration of deep rock mass based on experiments, the dynamic evolution characteristics of deep rock mass are obtained and analyzed, and the problem of difficult to obtain the dynamic evolution process of deep rock mass pore topological configuration in the existing technology is solved, and a more accurate assessment of deep energy storage and migration conditions is achieved.

CN119720494AActive Publication Date: 2025-03-28TONGJI UNIV
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Patent Information

Application Number
CN202411641269.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-15
Publication Date
2025-03-28
Estimated Expiration
2044-11-15

AI Technical Summary

Technical Problem

It is difficult for the prior art to obtain the dynamic evolution process of the pore topological configuration of deep rock mass in finely, and the sample data obtained through indoor experiments is small, making it difficult to accurately reflect the true pore topological configuration evolution law of deep loaded rock mass.

Method used

The intelligent deduction method of the pore topological configuration of deep rock mass based on experiments was adopted. By obtaining standard rock samples, labeling them and load-catastrophic tests, point cloud information of the load-load-caused process of the test standard rock samples was obtained, and feature extraction was performed through three-dimensional reconstruction and full convolutional neural network to obtain dynamic evolution characteristics.

Benefits of technology

The acquisition and intelligent prediction of the dynamic evolution characteristics of the pore topological configuration of deep loaded rock mass was achieved, the dynamic observation problems in the existing technology were overcome, and the ability to evaluate the deep energy storage and migration conditions was improved.

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Abstract

The invention discloses a deep rock mass pore topological configuration number fusion intelligent deduction method based on a test. The method comprises the following steps: obtaining a standard rock sample of a deep rock mass; marking the standard rock sample to obtain a test standard rock sample; carrying out a load catastrophe test on the test standard rock sample to obtain a deep rock mass mining process and test data; obtaining point cloud information of the loading process of the test standard rock sample according to the deep rock mass mining process and the test data; performing three-dimensional reconstruction on the test standard rock sample according to the point cloud data to obtain spatial dynamic evolution of the loading behavior of the deep rock mass; and according to spatial dynamic evolution, performing feature extraction on the pore topological configuration of the deep loaded rock mass to obtain dynamic evolution features. According to the method, the problem of dynamic observation of the pore topological configuration of the deep loaded rock mass is solved on the basis of a number object fusion technology, the real evolution law of the pore topological configuration of the deep rock mass can be reflected, and the method is of great significance to reveal mining catastrophe and stability evaluation of the deep energy occurrence rock mass.
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