东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (7): 1022-1025.DOI: -

• 资源与土木工程 • 上一篇    下一篇

基于高密度电阻率法的铁矿山采空区数值模拟

王恩德，门业凯，张忠杰，吴明刚   

  1. (东北大学资源与土木工程学院，辽宁沈阳110819)
  • 收稿日期:2012-12-20 修回日期:2012-12-20 出版日期:2013-07-15 发布日期:2013-12-31
  • 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:
    国土资源部公益性行业科研基金资助项目(N201111002-02)；中央高校基本科研业务费专项资金资助项目(N110601002).

Numerical Simulation on Concealed Goaf at the Iron Mine Based on High Density Resistivity Method

WANG Ende， MEN Yekai， ZHANG Zhongjie， WU Minggang   

  1. School of Resources ＆ Civil Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2012-12-20 Revised:2012-12-20 Online:2013-07-15 Published:2013-12-31
  • Contact: MEN Yekai
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摘要： 应用高密度电阻率法，以鞍山—本溪地区铁矿山主要岩矿体电阻率值的实测结果为基本参数，选用适合现场作业的温纳和偶极两种装置，并根据现场地质情况建立简单地质条件、围岩存在和复杂地质条件三种空区探测模型；详细分析了不同地质条件下的地电场分布规律和空区异常反映特征.结果表明，不等电性地质体的存在影响了空区异常的反映，空区异常在复杂地质条件下往往以次级异常或弱异常的形式显示.应用该模型对鞍山—本溪地区铁矿山空区探测结果进行解译，准确地推测了多处空区，证明了该模型在铁矿山采空区探测中的有效性.

关键词: 高密度电阻率法, 铁矿山, 采空区, 探测模型, 次级异常

Abstract: The high density resistivity method， together with two devices of Winner and dipole suitable for field operation being selected， was used to measure the electric resistivity of main rock and ore in Anshan-Benxi area. According to the determined basic parameters， three kinds of goaf detection models were built respectively for simple geological conditions， conditions with surrounding rock and complex geological conditions. The regularities of electric field distribution and characteristics of goaf anomaly reflected in different geological conditions were discussed in detail. The results indicated that the existence of geological bodies with unequal electrical properties affects the reflection of goaf anomaly， which is often reflected in the form of secondary anomaly or weak anomaly in complex geological conditions. With the application of these models to the interpretation of goaf detection results of iron mines in Anshan-Benxi area， several goafs are predicted accurately， thus testifying the effectiveness of these models.

Key words: high density resistivity method, iron mine, concealed goaf, detection model, secondary anomaly

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