Geographic tuple based quantitative prediction method of ore concentration areas

A prediction method and tuple technology, applied in geophysical surveying, instruments, etc., can solve problems such as inability to predict quantitatively, achieve high customization and flexibility, high quantitative accuracy, and improve the effect of quantitative prediction accuracy

Inactive Publication Date: 2010-05-12
XINJIANG INST OF ECOLOGY & GEOGRAPHY CHINESE ACAD OF SCI
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Problems solved by technology

This method has solved the problem that the existing technology cannot quantitatively predict

Method used

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  • Geographic tuple based quantitative prediction method of ore concentration areas
  • Geographic tuple based quantitative prediction method of ore concentration areas
  • Geographic tuple based quantitative prediction method of ore concentration areas

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Embodiment

[0023] Since the present invention is oriented to professional users and geological departments, considering that in actual work, most of them are used by personnel in the geological and mineral resources department, now further describe in conjunction with the accompanying drawings:

[0024] a. Comprehensively collected and sorted out the geological, geophysical, geochemical, and remote sensing data of the copper ore-concentrated areas in the study area, determined the relationship between the metallogenic geological background, rock-controlling ore-controlling conditions, and mineral distribution, and designed, compiled, data collected, processed and Analysis, secondary development of existing achievements, fully collecting and digesting relevant data, condensing scientific issues, optimizing technical routes and design schemes; determining breakthrough points for key technical issues;

[0025] b. Learn from the geological and mineral research results and ore prospecting expe...

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Abstract

The invention relates to a geographic tuple based quantitative prediction method of ore concentration areas, which is characterized by establishing the quantitative prediction method of mineral resources in the Central Asia region by analyzing the time-space evolution process of the mineral resources in the region, taking GIS as a platform, applying the nonlinear theory and the artificial neural network technology, integrating multivariate information such as geology, geophysics, geochemistry, remote sensing and the like, carrying out analogy on the geological characteristics of the minerals at different levels and the metallogenetic geological setting and dividing favorable metallogenetic areas at different levels. The method solves the problem of failure of quantitative prediction in the prior art.

Description

technical field [0001] The invention relates to a quantitative prediction method for ore concentration areas based on geographic tuples. Background technique: [0002] At present, this research content has attracted increasing attention from some major geological countries in the world. In the past 10 years, relevant basic research work and metallogenic prediction work have been carried out one after another. Many studies can be summarized into two aspects, subjective models based on genetic theory and multi-dimensional geological information. The former is characterized by the maximum use of ore deposit genetic theory and the connection between genetic theory and observation data, and the inconsistency and instability of the genetic model are its defects; the latter is characterized by the ability to make maximum use of various geological data And to quantify it, but the lack of genetic theory support greatly weakens the ability of prediction. As the metallogenic prediction...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V9/00
Inventor 周可法张清张海波孙莉张楠楠程宛文刘朝霞陈川许文强万应彩李艳荣
Owner XINJIANG INST OF ECOLOGY & GEOGRAPHY CHINESE ACAD OF SCI
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