Coal Geology & Exploration


The geological transparency of water disasters is in urgent need to serve the intelligent and unmanned mining of coal mines. Focused on the water disasters during mining in the working face, the mine-used resistivity monitoring system uses pseudo-random signal transmission and full waveform data acquisition to improve the anti-interference ability of the equipment. Electrode grounding condition consistency correction and monitoring data normalization are used to suppress false anomalies. Time-lapse resistivity imaging is used to identify and extract the abnormal resistivity response of hidden water hazards. The monitoring system is able to estimate the risk of water disasters by monitoring the resistivity changes of the roof and floor during the mining process of the working face, which becomes an important way to realize the geological transparency of water disasters. On the basis of the underground mine field tests of the mine resistivity monitoring system in recent years, its application in the monitoring of water disasters in the roof and floor is introduced respectively. The test results show that the resistivity monitoring can effectively capture the precursory information of the water inrush process in the mining roof and floor. However, in practice, the mine resistivity monitoring system still faces problems such as strong electromagnetic noises and difficulty in protecting the monitoring cables in the goaf. Furthermore, studies on the mechanism of the influence of mining disturbance on coal rock resistivity is insufficient, which leads to a controversy in the analysis and interpretation of resistivity anomalies. Further research is still needed.


mine resistivity monitoring, coal mining working face, floor water disaster, roof water disaster, precursory information




[1] 王国法,徐亚军,孟祥军,等. 智能化采煤工作面分类、分级评价指标体系[J]. 煤炭学报,2020,45(9):3033−3044. WANG Guofa,XU Yajun,MENG Xiangjun,et al. Specification, classification and grading evaluation index for smart longwall mining face[J]. Journal of China Coal Society,2020,45(9):3033−3044.

[2] 靳德武,赵春虎,段建华,等. 煤层底板水害三维监测与智能预警系统研究[J]. 煤炭学报,2020,45(6):2256−2264. JIN Dewu,ZHAO Chunhu,DUAN Jianhua,et al. Research on 3D monitoring and intelligent early warning system for water hazard of coal seam floor[J]. Journal of China Coal Society,2020,45(6):2256−2264.

[3] 张平松,许时昂,郭立全,等. 采场围岩变形与破坏监测技术研究进展及展望[J]. 煤炭科学技术,2020,48(3):14−35. ZHANG Pingsong,XU Shi’ang,GUO Liquan,et al. Prospect and progress of deformation and failure monitoring technology of surrounding rock in stope[J]. Coal Science and Technology,2020,48(3):14−35.

[4] 鲁晶津,王冰纯,颜羽. 矿井电法在煤层采动破坏和水害监测中的应用进展[J]. 煤炭科学技术,2019,47(3):18−26. LU Jingjin,WANG Bingchun,YAN Yu. Advances of mine electrical resistivity method applied in coal seam mining destruction and water inrush monitoring[J]. Coal Science and Technology,2019,47(3):18−26.

[5] 刘树才,刘鑫明,姜志海,等. 煤层底板导水裂隙演化规律的电法探测研究[J]. 岩石力学与工程学报,2009,28(2):348−356. LIU Shucai,LIU Xinming,JIANG Zhihai,et al. Research on electrical prediction for evaluating water conducting fracture zones in coal seam floor[J]. Chinese Journal of Rock Mechanics and Engineering,2009,28(2):348−356.

[6] 刘盛东,杨胜伦,曹煜,等. 煤层顶板透水水量与地电场参数响应分析[J]. 采矿与安全工程学报,2010,27(3):341−345. LIU Shengdong,YANG Shenglun,CAO Yu,et al. Analysis about response of geoelectric field parameters to water inrush volume from coal seam roof[J]. Journal of Mining & Safety Engineering,2010,27(3):341−345.

[7] 刘静,刘盛东,曹煜,等. 地下水渗流与地电场参数响应的定量研究[J]. 岩石力学与工程学报,2013,32(5):986−993. LIU Jing,LIU Shengdong,CAO Yu,et al. Quantitative study of geoelectrical parameter response to groundwater seepage[J]. Chinese Journal of Rock Mechanics and Engineering,2013,32(5):986−993.

[8] 刘志新,王明明. 环工作面电磁法底板突水监测技术[J]. 煤炭学报,2015,40(5):1117−1125. LIU Zhixin,WANG Mingming. Study on encircling face electromagnetic method for monitoring coal face floor inrush[J]. Journal of China Coal Society,2015,40(5):1117−1125.

[9] 朱鲁,翟培合,魏久传,等. 工作面底板动态监测系统开发研究[J]. 矿业安全与环保,2008,35(3):57−58. ZHU Lu,ZHAI Peihe,WEI Jiuchuan,et al. Development of dynamic monitoring system for working face floor[J]. Mining Safety & Environmental Protection,2008,35(3):57−58.

[10] 王冰纯,鲁晶津,房哲. 基于伪随机序列的矿井电法监测系统[J]. 煤矿安全,2018,49(12):118−121. WANG Bingchun,LU Jingjin,FANG Zhe. Research on mine electrical monitoring system based on pseudo−random sequence[J]. Safety in Coal Mines,2018,49(12):118−121.

[11] 刘斌,李术才,聂利超,等. 矿井突水灾变过程电阻率约束反演成像实时监测模拟研究[J]. 煤炭学报,2012,37(10):1722−1731. LIU Bin,LI Shucai,NIE Lichao,et al. Research on simulation of mine water inrush real−time monitoring of using electrical resistivity constrained inversion imaging method[J]. Journal of China Coal Society,2012,37(10):1722−1731.

[12] LIU Bin,LIU Zhengyu,LI Shucai,et al. An improved Time–Lapse resistivity tomography to monitor and estimate the impact on the groundwater system induced by tunnel excavation[J]. Tunnelling and Underground Space Technology,2017,66:107−120.

[13] 李建楼,刘盛东,张平松,等. 并行网络电法在煤层覆岩破坏监测中的应用[J]. 煤田地质与勘探,2008,36(2):61−64. LI Jianlou,LIU Shengdong,ZHANG Pingsong,et al. Failure dynamic observation of upper covered stratum under mine using parallel network electricity method[J]. Coal Geology & Exploration,2008,36(2):61−64.

[14] 张平松,胡雄武,吴荣新. 岩层变形与破坏电法测试系统研究[J]. 岩土力学,2012,33(3):952−956. ZHANG Pingsong,HU Xiongwu,WU Rongxin. Study of detection system of distortion and collapsing of top rock by resistivity method in working face[J]. Rock and Soil Mechanics,2012,33(3):952−956.

[15] 雷凯丽. 基于钻孔电阻率法的回采工作面底板水害动态监测应用研究[J]. 中国煤炭,2020,46(1):77−81. LEI Kaili. Application study on water damage dynamic monitoring in the floor of mining face based on borehole resistivity method[J]. China Coal,2020,46(1):77−81.

[16] 鲁晶津. 直流电阻率法在煤层底板水害监测中的应用研究[J]. 工矿自动化,2021,47(2):18−25. LU Jingjin. Research on the application of direct current resistivity method in coal seam floor water inrush monitoring[J]. Industry and Mine Automation,2021,47(2):18−25.

[17] 鲁晶津,李德山,王冰纯. 超大采高工作面顶板电阻率监测可行性试验[J]. 煤田地质与勘探,2019,47(3):186−194. LU Jingjin,LI Deshan,WANG Bingchun. Feasibility test of roof resistivity monitoring for super−high mining face[J]. Coal Geology & Exploration,2019,47(3):186−194.

[18] 王冰纯.基于2n伪随机序列的矿井电法监测系统研制[D].北京:煤炭科学研究总院,2016.

WANG Bingchun.Development of mine electrical monitoring system based on 2n pseudorandom sequence[D].Beijing:China Coal Research Institute,2016.

[19] PIDLISECKY A,HABER E,KNIGHT R. RESINVM3D: A 3D resistivity inversion package[J]. Geophysics,2007,72(2):H1−H10.

[20] DAILY W,RAMIREZ A,BINLEY AM,et al.Electrical resistance tomography:Theory and practice[C]//Near Surface Geophysics.Society of Exploration Geophysicists,2005:525–550.

[21] LABRECQUE D,YANG Xianjin. Difference inversion of ERT data:A fast inversion method for 3−D in situ monitoring[J]. Journal of Environmental & Engineering Geophysics,2001,6(2):316−321.

[22] LOKE M H.Constrained time−lapse resistivity imaging inversion[C]//Symposium on the Application of Geophysics to Engineering and Environmental Problems.2001,192:EEM7.

[23] 李白英. 预防矿井底板突水的“下三带”理论及其发展与应用[J]. 山东矿业学院学报(自然科学版),1999,18(4):11−18. LI Baiying. “Down Three Zones” in the prediction of the water inrush from coalbed floor aquifer–theory, development and application[J]. Journal of Shandong Institute of Mining and Technology(Natural Science),1999,18(4):11−18.

[24] 程久龙,于师建. 覆岩变形破坏电阻率响应特征的模拟实验研究[J]. 地球物理学报,2000,43(5):699−706. CHENG Jiulong,YU Shijian. Simulation experiment on the response of resistivity to deformation and failure of overburden[J]. Chinese Journal of Geophysics,2000,43(5):699−706.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.