基于三维高密度电阻率法的露天铁矿山采空区精准探测

doi:10.12068/j.issn.1005-3026.2023.07.011

东北大学学报（自然科学版） ›› 2023, Vol. 44 ›› Issue (7): 996-1001.DOI: 10.12068/j.issn.1005-3026.2023.07.011

基于三维高密度电阻率法的露天铁矿山采空区精准探测

王恩德¹，沈剑¹，李彬²，袁昆³

(1.东北大学资源与土木工程学院，辽宁沈阳110819； 2.辽宁有色勘察研究院有限责任公司，辽宁沈阳110002； 3.辽宁省地质矿产研究院有限责任公司，辽宁沈阳110032)

发布日期:2023-07-13
通讯作者: 王恩德
作者简介:王恩德(1957-)，男，辽宁盖州人，东北大学教授，博士生导师.
基金资助:
国家重点研发计划项目(2016YFC0801603，2017YFC1503105); 中央高校基本科研业务费专项资金资助项目(N2123030).

Accurate Detection of Goaf in Open-pit Iron Mine Based on 3D High-density Resistivity Method

WANG En-de¹， SHEN Jian¹， LI Bin²， YUAN Kun³

1. School of Resources & Civil Engineering， Northeastern University， Shenyang 110819，China; 2. Liaoning Non-ferrous Geological Exploration & Research Institute Co.， Ltd.， Shenyang 110002，China; 3. Liaoning Institute of Geology & Mineral Resources Co.， Ltd.， Shenyang 110032，China.

Published:2023-07-13
Contact: SHEN Jian
About author:-
Supported by:
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摘要/Abstract

摘要： 针对露天铁矿山地下隐伏采空区精准探测的技术难题，以某露天铁矿山实际矿床地质特征和不同岩矿体电阻率值为基础，建立三种异常识别模型，分析横向电性不均一条件下采空区的异常响应特征，得到了地电场分布规律并通过现场试验进行应用研究.结果表明:异常识别模型能够较准确地模拟地电场分布；三维高密度电阻率法在大面积探测工作中能够有效克服二维高密度电阻率法体积效应对采空区位置精准判别的干扰，减弱了异常扩展等效应.

关键词: 三维高密度电阻率法;采空区;异常识别模型;异常响应特征；三维成像声呐技术

Abstract: Aiming at the technical problem of accurate detection of underground hidden goaf in open-pit iron mines， based on the geological characteristics of actual ore deposits in an open-pit iron mine and the resistivity values of different rock ore bodies， three anomaly identification models were established to analyze the abnormal response characteristics of goaf under the condition of uneven transverse electrical properties， and the distribution rule of geoelectric field was obtained， the application research was carried out through the field test. The results show that the anomaly identification model can simulate the geoelectric field distribution accurately. In large area detection work， 3D high-density resistivity method can effectively overcome the interference of the volume effect of 2D high-density resistivity method on the accurate location discrimination of goaf and weaken the abnormal expansion effect.

Key words: three-dimensional high-density resistivity method; goaf; anomaly identification model; abnormal response characteristics; three-dimensional imaging sonar technology

中图分类号:

X141

王恩德，沈剑，李彬，袁昆. 基于三维高密度电阻率法的露天铁矿山采空区精准探测[J]. 东北大学学报（自然科学版）, 2023, 44(7): 996-1001.

WANG En-de， SHEN Jian， LI Bin， YUAN Kun. Accurate Detection of Goaf in Open-pit Iron Mine Based on 3D High-density Resistivity Method[J]. Journal of Northeastern University(Natural Science), 2023, 44(7): 996-1001.

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基于三维高密度电阻率法的露天铁矿山采空区精准探测

Accurate Detection of Goaf in Open-pit Iron Mine Based on 3D High-density Resistivity Method

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