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A method for predicting mineral resources by weight of evidence model

A technology for model prediction and mineral resources, applied in prediction, data processing applications, instruments, etc., can solve problems such as ignoring the spatial relationship of data and affecting mineral resources

Inactive Publication Date: 2019-01-04
SUN YAT SEN UNIV
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Problems solved by technology

The models widely used in the prediction and evaluation of resource exploration in the past, such as the multivariate statistical mathematical model, mostly ignored the spatial relationship of the data, and the direct consequence was that the effect of the prediction and evaluation of mineral resources was seriously affected.

Method used

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  • A method for predicting mineral resources by weight of evidence model
  • A method for predicting mineral resources by weight of evidence model
  • A method for predicting mineral resources by weight of evidence model

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specific Embodiment

[0037] Specific embodiment: The resource potential is evaluated on the basis of the posterior probability map obtained by the improved right-of-evidence method, and 7 metallogenic regions of ABCDEFG are divided.

[0038] The prediction area A is the gold-silver prospect area of ​​the Pangxidong fault zone, in which northeast-trending faults (Pangxidong large fault) are developed, and the anomalies are obviously distributed along the fault direction. There are many silver and gold deposits and points near and in the contact zone of the rock mass. The favorable target area roughly follows the trend of the Pangxidong fault, and the discovered Pangxidong silver mine, Jinshan silver mine, Lianjiang Fengtian tail placer gold mine and Zhongsu gold mine are all located in this target area. The predicted area has the following favorable conditions for mineralization: 1) the whole area is located within the anomalous range of structural linear density; 2) the area is located within the ...

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Abstract

The invention discloses a method for predicting mineral resources by an evidence weight model, which includes such steps as adding evidential layer to the model in order of significance to predict object, obtaining obvious effect, and carrying out the prediction result for further optimizing and evaluating predicted area with very important reference significance. Finally, according to the posterior probability map obtained by the improved evidence weight method, the favorable ore-forming areas are delineated, and the prediction results have an important guiding role in the next step of ore prospecting deployment. The invention can reduce the influence on the prediction result due to the fact that the evidence layer does not satisfy the conditional independence assumption.

Description

technical field [0001] The invention specifically relates to a method for predicting mineral resources using a new evidence weight model. Background technique [0002] The spatial regularity of the distribution of mineral resources is determined by the spatial structure of the mineralization process, and it is also one of the important theoretical basis for the prediction and evaluation of mineral resources. Mathematical geological methods have played a decisive role in the development of mineral resource prediction and evaluation from qualitative to quantitative. The models widely used in the prediction and evaluation of resource exploration in the past, such as the multivariate statistical mathematical model, mostly ignored the spatial relationship of the data, and the direct consequence was that the effect of the prediction and evaluation of mineral resources was seriously affected. Contents of the invention [0003] Aiming at the existing problems, the present inventi...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 周永章高乐王俊沈文杰唐沐阳
Owner SUN YAT SEN UNIV
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