Coal Geology & Exploration
Abstract
Objective In recent years, floor water inrushes have frequently occurred in North China-type coalfields. To address this challenge, determining the anomalous responses of water inrushes from stope floors has emerged as a focus of research on water disaster prevention and control. Methods This study established a stress model of the stope floor based on the mine pressure theory. Using this model, it analyzed the stress distribution and failure characteristics of the stope floor. The floor failure characteristics revealed that the coal seam floor can be divided into three zones: the compression, expansion, and recovery zones. Through stress-resistivity tests, this study investigated the resistivity variation patterns of rock samples under the loading, failure, and recovery states and simulated the resistivity variations in the compression, expansion, and recovery zones in the mining face floor, thus determining the resistivity in the three zones. In combination with the resistivity variations of field strata, this study established a dynamic 3D geoelectric model to examine the spatiotemporal evolution of the floor resistivity during different mining stages. Using procedures of the 3D direct current electric method, this study conducted forward modeling and inversion using the geoelectric model and prepared 3D resistivity plots of the anomalous responses from the mining face floor. Accordingly, this study investigated the anomalous responses from the mining face floor and summarized the anomalous response characteristics during the mining face advancement. Results As the mining face advanced for 20 m, a stress anomaly zone and a low-resistivity anomaly zone appeared in the geoelectric model. The stress anomaly zone appeared in front of the mining position of the working face. It primarily influenced shallow strata, disappearing with increasing depth. In contrast, the low-resistivity anomaly zone primarily affected deep strata while producing no impact on shallow strata. When the mining face advanced for 30 m, the stress anomaly zone moved forward as well. Consequently, the stress anomaly zone was connected to the low-resistivity anomaly zone, accompanied by the continuous expansion of the low-resistivity anomaly zone and a constant decrease in the apparent resistivity. As a result, significantly low resistivity anomalous responses occurred, indicating an increased possibility of water inrushes from the mining face floor. When the mining face advanced for 50 m, two low-resistivity anomaly zones were observed along the mining face. Among these, one was identified as a stress-induced low-resistivity anomaly zone, moving forward as the mining face advanced. Another low-resistivity zone was found in the goaf. This area was characterized by a large range and extremely low apparent resistivity, which differed significantly from that of the surrounding rocks. This suggests an extremely high possibility of water inrushes from the mining face floor. Conclusions During the advancement of the mining face, the characteristics of stress and low-resistivity anomalous responses can be observed. Among them, the stress anomalous responses show a limited influence range, keeping moving forward as the mining face advances. In contrast, low-resistivity anomalous responses exhibit a wide influence range and a significantly different apparent resistivity from the surrounding rocks. These responses keep expanding as the mining face advances. Prevention and control measures should be taken in time to prevent water inrushes from the mining face floor.
Keywords
floor failure, rock sample loading experiment, 3D direct current electric method, geoelectric model, anomalous response of floor, North China-type coalfield
DOI
10.12363/issn.1001-1986.25.01.0030
Recommended Citation
GAO Weifu, ZOU Xu, NIU Chao,
et al.
(2025)
"Anomalous responses of coal seam mining face floor derived based on stress-induced failure modeling and 3D direct current electric method,"
Coal Geology & Exploration: Vol. 53:
Iss.
9, Article 19.
DOI: 10.12363/issn.1001-1986.25.01.0030
Available at:
https://cge.researchcommons.org/journal/vol53/iss9/19
Reference
[1] 丁同福,汪敏华,赵俊峰. 华北型淮南煤田大构造成因分析及构造控水研究[J]. 煤田地质与勘探,2020,48(4):102−108.
DING Tongfu,WANG Minhua,ZHAO Junfeng. Genesis analysis and study on tectonic control on water of Huainan North China–type coal field[J]. Coal Geology & Exploration,2020,48(4):102−108.
[2] 张党育,蒋勤明,高春芳,等. 华北型煤田底板岩溶水害区域治理关键技术研究进展[J]. 煤炭科学技术,2020,48(6):31−36.
ZHANG Dangyu,JIANG Qinming,GAO Chunfang,et al. Study progress on key technologies for regional treatment of Karst water damage control in the floor of North China coalfield[J]. Coal Science and Technology,2020,48(6):31−36.
[3] 赵庆彪,赵昕楠,武强,等. 华北型煤田深部开采底板“分时段分带突破”突水机理[J]. 煤炭学报,2015,40(7):1601−1607.
ZHAO Qingbiao,ZHAO Xinnan,WU Qiang,et al. Water burst mechanism of “divided period and section burst” at deep coal seam floor in North China type coalfield mining area[J]. Journal of China Coal Society,2015,40(7):1601−1607.
[4] 王永军,郭生凯,杜雯莉,等. 巷道迎头瞬变电磁超前探测技术研究[J]. 能源技术与管理,2021,46(5):148−150.
[5] 邢修举. 矿井瞬变电磁超前探测陷落柱三维可视化技术[J]. 中国煤炭,2018,44(10):60−64.
XING Xiuju. 3D visualization technology of collapse column advanced detection by mine transient electromagnetic method[J]. China Coal,2018,44(10):60−64.
[6] 邱浩,郝宇军,陈健强. 煤矿采空区瞬变电磁超前探测波场成像研究[J]. 煤炭工程,2020,52(2):56−58.
QIU Hao,HAO Yujun,CHEN Jianqiang. Wave field imaging system in advance detection of watery goaf using mine transient electromagnetic method[J]. Coal Engineering,2020,52(2):56−58.
[7] 朱榕,王耀,许洋铖,等. 矿井顶板水害瞬变电磁正演模拟及应用[J]. 昆明理工大学学报(自然科学版),2023,48(3):62−71.
ZHU Rong,WANG Yao,XU Yangcheng,et al. Transient electromagnetic forward simulation and application for mine roof water hazards[J]. Journal of Kunming University of Science and Technology (Natural Science),2023,48(3):62−71.
[8] WANG Qi,WANG Xinyi,LIU Xiaoman,et al. Prevention of groundwater disasters in coal seam floors based on TEM of Cambrian limestone[J]. Mine Water and the Environment,2018,37(2):300−311.
[9] 朱姣,姜志海,殷长春,等. 金属干扰环境下矿井瞬变电磁有限元正演模拟研究[J]. 煤炭学报,2024,49(11):4578−4589.
ZHU Jiao,JIANG Zhihai,YIN Changchun,et al. Finite–element forward modeling of transient EM in mines under metal interference[J]. Journal of China Coal Society,2024,49(11):4578−4589.
[10] 陶贵彬. 金属干扰环境下矿井瞬变电磁法探测研究[J]. 中国金属通报,2017(9):51−52.
[11] 徐亚昆. 矿井瞬变电磁装置的改进与应用技术研究[D]. 太原:太原理工大学,2015.
XU Yakun. The research of the improvement of the mine transient electromagnetic device and its application[D]. Taiyuan:Taiyuan University of Technology,2015.
[12] 张军. 矿井瞬变电磁超前探测干扰校正技术研究[J]. 物探化探计算技术,2017,39(1):17−22.
ZHANG Jun. Research on the influence of the mine transient electromagnetic advanced detection tunnel[J]. Computing Techniques for Geophysical and Geochemical Exploration,2017,39(1):17−22.
[13] 王荣军,周超群,崔杰,等. 强干扰环境下铁矿导水通道精细探测研究[J]. 物探与化探,2022,46(6):1396−1402.
WANG Rongjun,ZHOU Chaoqun,CUI Jie,et al. Fine detection of water–conducting channels in iron mine under strong interferences[J]. Geophysical and Geochemical Exploration,2022,46(6):1396−1402.
[14] 马留柱. 孔中瞬变电磁法在骆驼山煤矿超前探水中的应用研究[J]. 能源技术与管理,2023,48(6):153–155.
[15] 李添乐,张义平,胡洁. 基于综合物探在煤矿超前探水预报的应用研究[J]. 中国矿业,2025,34(5):229−236.
LI Tianle,ZHANG Yiping,HU Jie. Research on the application of comprehensive geophysical exploration in advance water exploration and prediction in coal mines[J]. China Mining Magazine,2025,34(5):229−236.
[16] 张兆桥. 孔中瞬变电磁探头特性与正反演方法研究[D]. 徐州:中国矿业大学,2022.
ZHANG Zhaoqiao. Study on the characteristics of transient electromagnetic sensors in the hole and the method of forward and inversion[D]. Xuzhou:China University of Mining and Technology,2022.
[17] 柴登榜,全国矿井水文工程地质学术交流会论文集编辑委员会. 全国矿井水文工程地质学术交流会论文集[M]. 北京:地震出版社,1992.
[18] 岳建华,李志聃. 巷道空间对矿井电测曲线影响的模型实验研究[J]. 煤田地质与勘探,1993,21(2):56−59.
YUE Jianhua,LI Zhidan. Study and model experiments of tunnel influence on electric curves in coal mines[J]. Coal Geology & Exploration,1993,21(2):56−59.
[19] 岳建华,李志聃. 矿井直流电法勘探中的巷道影响[J]. 煤炭学报,1999,24(1):7−10.
YUE Jianhua,LI Zhidan. Roadway influence on electrical prospecting in underground mine[J]. Journal of China Coal Society,1999,24(1):7−10.
[20] 刘志新,许新刚,岳建华. 矿井电法三维有限元正演模拟:直流电透视方法技术研究[J]. 物探化探计算技术,2003,25(4):302−307.
LIU Zhixin,XU Xingang,YUE Jianhua. 3D finite element simulation for mine DC electrical method:Research of the DC penetration method[J]. Computing Techniques for Geophysical and Geochemical Exploration,2003,25(4):302−307.
[21] 翟培合. 采场底板破坏及底板水动态监测系统研究:电阻率CT技术在煤矿中的开发应用[D]. 青岛:山东科技大学,2005.
ZHAI Peihe. Study on the dynamic monitoring system of the destroy of the bed plate and the water of the bed plate[D]. Qingdao:Shandong University of Science and Technology,2005.
[22] 胡运兵. 矿井高密度电阻率法的观测参数研究[D]. 北京:煤炭科学研究总院,2006.
[23] 郭恒. 矿井三维直流电法勘探技术研究及应用[D]. 西安:西安科技大学,2014.
GUO Heng. The research and application of 3D DC resistivity inversion in coal mine[D]. Xi’an:Xi’an University of Science and Technology,2014.
[24] 高卫富,翟培合,肖乐乐,等. 环工作面三维直流电阻率法研究及应用[J]. 地球物理学报,2020,63(9):3534−3544.
GAO Weifu,ZHAI Peihe,XIAO Lele,et al. Research and application of the 3D DC resistivity method with around working face[J]. Chinese Journal of Geophysics,2020,63(9):3534−3544.
[25] 李毛飞,刘树才,姜志海,等. 矿井直流电透视底板探测及三维反演解释[J]. 煤炭学报,2022,47(7):2708−2721.
LI Maofei,LIU Shucai,JIANG Zhihai,et al. Detecting floor geological information by mine DC perspective and 3D inversion[J]. Journal of China Coal Society,2022,47(7):2708−2721.
[26] 吴荣新,徐辉. 矿井掘进工作面富水区多点电源高分辨电法探测[J]. 煤田地质与勘探,2023,51(12):123−130.
WU Rongxin,XU Hui. Multipoint sources–based high–resolution electrical detection of the water–rich areas near mining faces of coal mine roadways[J]. Coal Geology & Exploration,2023,51(12):123−130.
[27] 温亨聪,刘宝宝,杨海涛. 矿井电法高效顶板探测系统研究与应用[J]. 煤矿安全,2022,53(1):151−155.
WEN Hengcong,LIU Baobao,YANG Haitao. Research and application of mine electric method in high efficiency roof detection system[J]. Safety in Coal Mines,2022,53(1):151−155.
[28] 施龙青,翟培合,魏久传,等. 三维高密度电法技术在岩层富水性探测中的应用[J]. 山东科技大学学报(自然科学版),2008,27(6):1−4.
SHI Longqing,ZHAI Peihe,WEI Jiuchuan,et al. Application of 3D high density electrical technique in detecting the water enrichment of strata[J]. Journal of Shandong University of Science and Technology (Natural Science),2008,27(6):1−4.
[29] 高卫富,施龙青,于小鸽,等. 矿井三维电法对封闭不良钻孔的探测[J]. 湖南科技大学学报(自然科学版),2017,32(3):6−9.
GAO Weifu,SHI Longqing,YU Xiaoge,et al. Study on detection of sealed bad drilling using mine 3D DC method[J]. Journal of Hunan University of Science & Technology (Natural Science Edition),2017,32(3):6−9.
[30] 宋振骐. 实用矿山压力控制[M]. 徐州:中国矿业大学出版社,1988.
[31] 孟祥瑞,徐铖辉,高召宁,等. 采场底板应力分布及破坏机理[J]. 煤炭学报,2010,35(11):1832−1836.
MENG Xiangrui,XU Chenghui,GAO Zhaoning,et al. Stress distribution and damage mechanism of mining floor[J]. Journal of China Coal Society,2010,35(11):1832−1836.
[32] 蔡明锋. 矿井工作面突水力电耦合场数值模拟研究[D]. 青岛:山东科技大学,2010.
CAI Mingfeng. Numerical simulation of electro–mechanical coupling field for water–inrush in working face[D]. Qingdao:Shandong University of Science and Technology,2010.
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