3d uncertainty modeling of ore bodies by integrating geological constraints and probabilistic fields
By integrating geological constraints and probability fields, a single-objective and multi-stratum three-dimensional prior model was constructed. Combined with machine learning and multi-point geostatistics, the uncertainty problem of three-dimensional orebody modeling under sparse data was solved, and more accurate spatial reliability modeling of orebody was achieved.
CN122454076APending Publication Date: 2026-07-24CHINA UNIV OF GEOSCIENCES (WUHAN)
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA UNIV OF GEOSCIENCES (WUHAN)
- Filing Date
- 2026-03-04
- Publication Date
- 2026-07-24
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Figure CN122454076A_ABST
Abstract
The application discloses a kind of ore body three-dimensional uncertainty modeling methods of fusing geologic constraint and probability field, it is related to geological modeling technical field, ore body three-dimensional uncertainty modeling method of fusing geologic constraint and probability field mainly includes: according to original borehole data, constructs single-target stratum prior model, including the three-dimensional prior probability model of target stratum, three-dimensional fault influence field and lithology-color mapping relationship, and constructs multi-stratum three-dimensional prior model, combined with single-target stratum prior model, simulation result is obtained using machine learning and multiple-point geostatistics simulation method.The ore body three-dimensional uncertainty modeling method of fusing geologic constraint and probability field provided in the application can improve the geological rationality and spatial reliability of ore body three-dimensional modeling under the condition of sparse data.
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