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Ore deposit prediction method based on digital geologic model

A geological model and prediction method technology, applied in complex mathematical operations, special data processing applications, design optimization/simulation, etc.

Pending Publication Date: 2021-02-19
BEIJING RES INST OF URANIUM GEOLOGY
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] Aiming at the prior art, the present invention proposes a method for predicting ore deposits based on a digital geological model, which is used to solve the technical problem that using a single mathematical model to predict ore deposits has limitations

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  • Ore deposit prediction method based on digital geologic model
  • Ore deposit prediction method based on digital geologic model
  • Ore deposit prediction method based on digital geologic model

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Embodiment Construction

[0050] A digital geological model-based ore deposit prediction method of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0051] A method for predicting ore deposits based on a digital geological model, comprising the following steps:

[0052] Step 1: Establish a digital geological model of the research area according to the needs; establish a digital geological model according to the actual situation of the research area, including: structural model, ore body model and rock mass model;

[0053] Step 2: Based on the digital geological model, a block model and a block model of each prediction element are established;

[0054] Step 3: Calculate the posterior probability value and information quantity value of the weight-of-evidence method, and combine the posterior probability value and information quantity value of the weight-of-evidence method to analyze and find out the favorable interval;

[0055] Step ...

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Abstract

The invention belongs to the technical field of metallogenic prediction, and particularly relates to an ore deposit prediction method based on a digital geologic model, which comprises the following steps: 1, establishing the digital geologic model of a research area as required; establishing a digital geologic model according to the actual situation of the research area, wherein the digital geologic model comprises a construction model, an ore model and a rock model; 2, establishing a block model and each prediction element block model according to the digital geologic model; 3, calculating aposterior probability value and an information amount value of the evidence weight method, combining the posterior probability value and the information amount value of the evidence weight method, analyzing, and solving a favorable interval; and step 4, screening out a favorable interval according to the posterior probability value and the information amount value given to the block model, and delineating a target area by combining geological cognition on the next basis.

Description

technical field [0001] The invention belongs to the technical field of metallogenic prediction, and in particular relates to a method for predicting an ore deposit based on a digital geological model. Background technique [0002] In the 21st century, more and more ore deposits have been constructed with 3D geological models, and the spatial distribution relationship between various prediction elements and ore bodies can be visually viewed, so as to accurately predict the peripheral and deep extension trends of known ore bodies. At the same time, the prediction and evaluation of mineral resources has also undergone a transformation from the prediction and evaluation supported by two-dimensional GIS technology to three-dimensional metallogenic prediction. There are many mathematical models that can be used for 3D metallogenic prediction, such as the weight of evidence model and the amount of information model. However, no matter which mathematical model is used in the prior a...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F17/18G06F111/08
CPCG06F30/20G06F17/18G06F2111/08
Inventor 白芸朱鹏飞李晓翠孔维豪曹珂孙璐刘琳莹
Owner BEIJING RES INST OF URANIUM GEOLOGY
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