Three-dimensional prospecting prediction method and system and storage medium

By constructing a three-dimensional geological model and combining numerical simulation and machine learning methods, the problem that two-dimensional ore exploration methods are difficult to accurately predict the three-dimensional characteristics of ore deposits is solved, and the accuracy and scientificity of ore-forming prediction are improved.

CN119647666APending Publication Date: 2025-03-18四川省第三地质大队
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Patent Information

Application Number
CN202411693382.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The existing two-dimensional ore exploration methods are difficult to accurately predict the three-dimensional geological characteristics of ore deposits, resulting in a low accuracy of ore formation prediction.

Method used

By collecting multi-source geological data, establishing a geological database, and standardizing the data format, a three-dimensional geological model is constructed. Quantitative analysis and numerical simulation methods are used to extract favorable ore formation information and numerical simulation variable information, and a three-dimensional comprehensive ore prospecting prediction model is integrated to finally predict the ore prospecting target area.

Benefits of technology

It improves the accuracy of mineralization prediction, provides three-dimensional visualization technology, and combines dynamic numerical simulation and machine learning methods to improve the scientificity and reliability of mineral exploration prediction.

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Abstract

The invention discloses a three-dimensional prospecting prediction method and system and a storage medium, and relates to the technical field of geological prospecting. The method comprises the following specific steps: collecting multi-source geological data in a target mining area, and establishing a geological database; performing data format standardization processing on the geological database to obtain preprocessed data; constructing a three-dimensional geologic model based on the preprocessed data; carrying out quantitative analysis on the three-dimensional geologic model, and extracting metallogenic favorable information; carrying out numerical simulation on the metallogenic process of the target mining area by utilizing a three-dimensional metallogenic process numerical simulation method, and extracting numerical simulation variable information; the metallogenic favorable information and the numerical simulation variable information are fused, and a three-dimensional comprehensive prospecting prediction model is constructed; and predicting a prospecting target area according to the three-dimensional comprehensive prospecting prediction model to obtain a prospecting prediction result. According to the method, a three-dimensional modeling and multi-source data fusion method is utilized, a new direction is provided for the field of prospecting prediction research, and the method has very wide application prospects.
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