Electromagnetic Response Characteristics and Applications of Numerical Simulation of Geoelectricity in Water-Rich Areas of Mines

Mine water inrush remains one of the major hazards threatening the safety of coal mining operations. To assess the feasibility of integrating transient electromagnetic (TEM) and direct-current (DC) methods for advanced detection in underground settings, a three-dimensional geoelectric forward model for both techniques was developed in COMSOL Multiphysics based on the fundamental principles of electromagnetic prospecting. The model was used to examine the electromagnetic responses of water-rich anomalies surrounding mine roadways under different source configurations and spatial positions. Comparative analyses show that both DC and TEM methods effectively detect water-bearing targets within 40 m of the roadway, whereas TEM exhibits superior sensitivity at greater distances. TEM achieves its highest sensitivity when the anomaly is located within an azimuthal range of 30–45°. The characteristic response patterns derived from the simulations were applied to interpret field data acquired at the Tashan Coal Mine. The interpretation successfully delineated the presence and orientation of the water-bearing body ahead of the excavation face, and subsequent underground drilling verified the accuracy of the predictions. These findings demonstrate that COMSOL-based electromagnetic forward modeling provides a reliable framework for interpreting advanced geophysical detection data and is feasible for practical applications in mine water-inrush hazard assessment.

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Publication Details

Journal
Applied Sciences
Published
2025-11-27
DOI
https://doi.org/10.3390/app152312566
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
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Electromagnetic Response Characteristics and Applications of Numerical Simulation of Geoelectricity in Water-Rich Areas of Mines

Xikai Wang, Yunlan He, Suping Peng, Zuzhi Tian et al.
Applied Sciences
Geophysical and Geoelectrical Methods
article

Electromagnetic Response Characteristics and Applications of Numerical Simulation of Geoelectricity in Water-Rich Areas of Mines

Xikai Wang, Yunlan He, Suping Peng, Zuzhi Tian, Kexin Li, Lulu Fang
article en

Abstract

Mine water inrush remains one of the major hazards threatening the safety of coal mining operations. To assess the feasibility of integrating transient electromagnetic (TEM) and direct-current (DC) methods for advanced detection in underground settings, a three-dimensional geoelectric forward model for both techniques was developed in COMSOL Multiphysics based on the fundamental principles of electromagnetic prospecting. The model was used to examine the electromagnetic responses of water-rich anomalies surrounding mine roadways under different source configurations and spatial positions. Comparative analyses show that both DC and TEM methods effectively detect water-bearing targets within 40 m of the roadway, whereas TEM exhibits superior sensitivity at greater distances. TEM achieves its highest sensitivity when the anomaly is located within an azimuthal range of 30–45°. The characteristic response patterns derived from the simulations were applied to interpret field data acquired at the Tashan Coal Mine. The interpretation successfully delineated the presence and orientation of the water-bearing body ahead of the excavation face, and subsequent underground drilling verified the accuracy of the predictions. These findings demonstrate that COMSOL-based electromagnetic forward modeling provides a reliable framework for interpreting advanced geophysical detection data and is feasible for practical applications in mine water-inrush hazard assessment.

Applied SciencesVol. 15(23)
China University of Mining and Technology (CN), Beijing Urban Construction Design & Development Group (China) (CN)
Openalex Percentile: Top 62%
Geophysical and Geoelectrical Methods
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Electromagnetic Response Characteristics and Applications of Numerical Simulation of Geoelectricity in Water-Rich Areas of Mines — Xikai Wang, Yunlan He, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS