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Quantitative prediction method and device for concealed ore body

A technology of ore body and forecasting model, applied in forecasting, image data processing, instruments, etc., can solve the problems of low accuracy and low forecasting efficiency

Inactive Publication Date: 2019-10-15
CHINA UNIV OF GEOSCIENCES (BEIJING)
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  • Application Information

AI Technical Summary

Problems solved by technology

[0009] For this reason, the embodiment of the present invention provides a hidden ore body quantitative prediction method and device to solve the problem of low prediction efficiency in the prior art due to the low detection accuracy of the three-dimensional prediction technology

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  • Quantitative prediction method and device for concealed ore body
  • Quantitative prediction method and device for concealed ore body
  • Quantitative prediction method and device for concealed ore body

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Embodiment Construction

[0046] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047] see figure 1 A block diagram of a concealed ore body quantitative prediction method provided in Embodiment 1 of the present invention, including steps:

[0048] S1: Determine the study area;

[0049] S2: Establish a prospecting geological model;

[0050] S3: Obtaining various geological elements of the research area and establishing a three-dimensional solid model;

[0051] S4: Based o...

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Abstract

The embodiment of the invention discloses a quantitative prediction method and a quantitative prediction device for a concealed ore body. The method comprises the steps of determining a research area;establishing a prospecting geologic model; obtaining each geological element of the research area and establishing a three-dimensional geological entity model; on the basis of the prospecting geological model, extracting the geological anomaly information, and carrying out three-dimensional metallogenic geological anomaly space reconstruction on the research area; obtaining a quantitative distribution interval of mineralization favorable information, and establishing a regional quantitative prediction model; and carrying out hidden ore body area delineation prediction to realize quantitativeprediction of the ore body. The embodiment of the invention provides a hidden ore body quantitative prediction method and device, and the method combines a currently popular mineral resource three-dimensional prediction technology, a conventional geological theory and existing data information of a research area, and carries out the prediction and evaluation of regional deep mineral resources through employing the theories and methods of mathematical geology and computer technologies. The problem that the prediction efficiency is low due to the fact that the detection accuracy of the three-dimensional prediction technology is not high is solved.

Description

technical field [0001] Embodiments of the present invention relate to the fields of geology and computer technology, and in particular to a method and device for quantitatively predicting hidden ore bodies. Background technique [0002] Mineral resources are non-renewable resources, and the mineral resources in the shallow part of the surface are decreasing day by day, which seriously restricts the economic and social development of our country. In particular, copper ore resources have been dependent on imports for a long time. How to increase the amount of copper ore resources is an urgent problem to be solved at present. [0003] In recent years, the focus of mineral resources exploration has gradually shifted from shallow mines or easily identifiable mines to deep or hard-to-identify concealed mines. The research on metallogenic laws and the innovation of metallogenic prediction methods have become the top priority in mineral resource exploration. [0004] With the deve...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G06T17/05
CPCG06Q10/04G06Q50/02G06T17/05
Inventor 张宏睿刁习张庆现
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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