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基于特征定量化预测的矿产资源勘查技术研究

张起 高静

中国非金属矿工业导刊Issue(1):84-87,4.
中国非金属矿工业导刊Issue(1):84-87,4.

基于特征定量化预测的矿产资源勘查技术研究

Research on Mineral Resources Exploration Technology Based on Characteristic Quantitative Prediction

张起 1高静1

作者信息

  • 1. 河南省地质矿产勘查开发局第三地质矿产调查院,河南 郑州 450000
  • 折叠

摘要

Abstract

In order to extract characteristic information of mineral resource formation,quantitatively analyze the distribution of mineral resources,and achieve mineral exploration and prediction,a mineral resource exploration technology based on feature quantification prediction is proposed.Starting from the basic geological conditions of the study area,referring to the existing exploration data and drilling data of the area,a three-dimensional model of geological structure is constructed using Surpac software.The model is used to quantitatively analyze the formation feature information of mineral resources and extract the formation feature information;Using Flac3D finite element software to construct a numerical model of the study area,quantitatively analyze the structural feature information of mineral resources in the fault buffer zone,extract the structural information features,and use a quantitative prediction model of mineral resource exploration features to determine favorable zoning of mineral resources and achieve mineral resource exploration.The results show that the optimal buffer distance of Diabase is 0~55m,and the optimal buffer distance of fault buffer zone is 55~105m,from which the favorable information of mineral resource migration characteristics can be extracted;This method can obtain information on the quantitative characteristics of mineral resources and,through superposition calculation,explore the distribution of mineral resources in the study area.

关键词

地质特征/定量化预测/矿产资源/勘查技术/构造信息特征/断裂缓冲

Key words

geological characteristics/quantitative prediction/mineral resources/exploration technology/structural information characteristics/buffer of fracture

分类

地质学

引用本文复制引用

张起,高静..基于特征定量化预测的矿产资源勘查技术研究[J].中国非金属矿工业导刊,2024,(1):84-87,4.

中国非金属矿工业导刊

OACSTPCD

1007-9386

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