Journal of Northeastern University(Natural Science) ›› 2023, Vol. 44 ›› Issue (7): 996-1001.DOI: 10.12068/j.issn.1005-3026.2023.07.011

• Resources & Civil Engineering • Previous Articles     Next Articles

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. 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
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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

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