•  
  •  
 

Coal Geology & Exploration

Abstract

Objective A frequency-domain induced polarization (FDIP) method enables the observation of critical electrical parameters such as frequency dispersivity and complex resistivity of geological bodies, mitigating the multiplicity of solutions in the interpretations of electrical anomalies. This method has emerged as a primary technique for electric method-based advance water detection during roadway tunneling in coal mines. However, the FDIP method primarily focuses on data observation in the direction opposite to roadway tunneling, exhibiting a limited capacity to capture geoelectric information in the roadway tunneling direction. This leads to practical challenges such as unclear orientations of water-bearing anomalous bodies. Therefore, exploring the advance response characteristics and anisotropy of the FDIP parameters of roadways holds critical theoretical and practical significance for improving data observation methods and further enhancing the identification accuracy of water-bearing anomalous bodies. Methods First, a method for observing triaxial apparent IP parameters was developed based on the practical conditions of a coal mine roadway. Second, the response expressions of the triaxial parameters were derived by using an infinitely large tabular body in the whole space as the model of water-bearing bodies in the roadway tunneling direction. Third, the variations in the triaxial parameters with the model's attitude like azimuth, dip angle, and distance from the field source were analyzed using numerical calculations and theoretical analysis. Results The results indicate that the curves of apparent frequency dispersivity and complex resistivity along the axial direction of the roadway exhibited K-type (low-high-low) and H-type (high-low-high) patterns, respectively, independent of changes in the model parameter, with electrical anomalies consistently demonstrating low resistivity and high dispersivity. The curves of apparent frequency dispersivity perpendicular to both sides of the roadway presented a K-type pattern when the model was set directly ahead of the roadway, and they appeared to be inversely proportional functions in other cases. The apparent complex resistivity curves displayed K- and H-type patterns when the model was arranged near the left and right sides of the roadway, respectively. The curves of apparent frequency dispersivity perpendicular to the roof and floor of the roadway exhibited a K-type pattern in the case where the model was upright, and they appeared to be inversely proportional functions in other cases. The apparent complex resistivity curves presented K- and H-type patterns when the model was inclined towards the front and rear of the roadway, respectively. The anomaly amplitude and detection ranges of the triaxial apparent IP parameters were significantly influenced by the model parameters. Notably, the detection ranges at extreme or step points changed significantly with the distance from the field source. Conclusions The triaxial apparent IP parameters demonstrated pronounced anisotropic responses to the tabular water-bearing anomalous body model. The apparent IP parameters in the axial direction of the roadway manifested a relatively low sensitivity to the model's attitude, proving to be a primary cause of low detection of electrical anomaly accuracy. In contrast, the apparent IP parameters perpendicular to both sides of the roadway were sensitive to the model's azimuth, while those perpendicular to the roadway roof and floor are susceptible to the dip direction of the model. Compared to current observation methods, the triaxial observation method provides richer electrical information for detecting water-bearing anomalous bodies in the roadway tunneling direction, thereby enhancing the spatial positioning accuracy of water-bearing anomalous bodies.

Keywords

roadway tunneling, frequency-domain induced polarization (FDIP) method, triaxial observation, response characteristic, water-bearing anomaly

DOI

10.12363/issn.1001-1986.24.04.0255

Reference

[1] 张平松,李圣林,邱实,等. 巷道快速智能掘进超前探测技术与发展[J]. 煤炭学报,2021,46(7):2158−2173.

ZHANG Pingsong,LI Shenglin,QIU Shi,et a1. Advance detection technology and development of fast intelligent roadway drivage[J]. Journal of China Coal Society,2021,46(7):2158−2173.

[2] 杨少文,张平松,许时昂,等. 矿井直流电法技术应用现状与展望[J]. 工矿自动化,2023,49(8):20−29.

YANG Shaowen,ZHANG Pingsong,XU Shi’ang,et a1. Status and prospect of the application of mine DC electrical method technology[J]. Journal of Mine Automation,2023,49(8):20−29.

[3] 张伟杰. 动态定向电场激励法煤巷掘进超前探测技术研究[D]. 北京:中国矿业大学(北京),2012.

ZHANG Weijie. Study on advanced detection technology of coal roadway driving by dynamic directional electric field excitation method[D]. Beijing:China University of Mining & Technology,Beijing,2012.

[4] 胡荣杰,刘盛东,童世杰,等. 孔巷联合并行电法超前探测技术研究[J]. 中国煤炭地质,2024,36(6):68−71.

HU Rongjie,LIU Shengdong,TONG Shijie,et al. Research on advanced detection technology with parallel electrical method on hole-roadway[J]. Coal Geology of China,2024,36(6):68−71.

[5] 石学锋,韩德品. 直流电阻率法在煤矿巷道超前探测中的应用[J]. 煤矿安全,2012,43(5):104−107.

SHI Xuefeng,HAN Deping. The application of DC resistivity method in coal mine tunnel advanced exploration[J]. Safety in Coal Mines,2012,43(5):104−107.

[6] 阮百尧,邓小康,刘海飞,等. 坑道直流电阻率超前聚焦探测新方法研究[J]. 地球物理学报,2009,52(1):289−296.

RUAN Baiyao,DENG Xiaokang,LIU Haifei,et al. Research on a new method of advanced focus detection with DC resistivity in tunnel[J]. Chinese Journal of Geophysics,2009,52(1):289−296.

[7] 杜毅博,刘希高,张金涛,等. 电场约束法煤巷综掘超前探测数值模拟研究[J]. 地球物理学进展,2015,30(3):1390−1395.

DU Yibo,LIU Xigao,ZHANG Jintao,et al. Numerical simulation for advanced detection of comprehensive tunneling in coal roadway based on the electric field constraint method[J]. Progress in Geophysics,2015,30(3):1390−1395.

[8] 刘希高,凌春晖,刘志民,等. 矿用聚焦双频激电法电场扫描探测方法[J]. 煤炭学报,2016,41(9):2388−2395.

LIU Xigao,LING Chunhui,LIU Zhimin,et al. Focusing dual-frequency induced polarization on electric field scanning method in coal mine roadway[J]. Journal of China Coal Society,2016,41(9):2388−2395.

[9] 刘志民,韩雷,张伟杰,等. 煤巷多点电流源双频激电法超前扫描探测技术[J]. 煤田地质与勘探,2017,45(4):149−156.

LIU Zhimin,HAN Lei,ZHANG Weijie,et al. Study on advanced scanning detection technology of dual-frequency induced polarization method with multi-point current sources in coal mine roadway[J]. Coal Geology & Exploration,2017,45(4):149−156.

[10] 刘志民,孟彩茹,李冰,等. 煤巷聚焦多点电源探测电场超前扫描控制策略[J]. 煤田地质与勘探,2019,47(3):195−200.

LIU Zhimin,MENG Cairu,LI Bing,et al. Detection electric field control strategy for advanced scanning detection of focusing multipoint current sources in coal mine roadway[J]. Coal Geology & Exploration,2019,47(3):195−200.

[11] 陈海文,叶益信,杨烁健,等. 基于非结构有限元的电阻率超前探测中旁侧异常影响特征研究[J]. 物探与化探,2023,47(4):975−985.

CHEN Haiwen,YE Yixin,YANG Shuojian,et a1. A study on the influence of side anomalies in resistivity-based advance detection based on an unstructured finite element method[J]. Geophysical and Geochemical Exploration,2023,47(4):975−985.

[12] 黄俊革,阮百尧,王家林. 坑道直流电阻率法超前探测的快速反演[J]. 地球物理学报,2007,50(2):619−624.

HUANG Junge,RUAN Baiyao,WANG Jialin. The fast inversion for advanced detection using DC resistivity in tunnel[J]. Chinese Journal of Geophysics,2007,50(2):619−624.

[13] XIE Haijun,LI Jingrui,LI Zhiqiang,et al. Analysis of the influence characteristics and correction effect of the mine direct current method in advance detection of roadway cavities[J]. Earth Sciences Research Journal,2023,27(2):183−190.

[14] 马炳镇,李貅. 矿井直流电法超前探中巷道影响的数值模拟[J]. 煤田地质与勘探,2013,41(1):78−81.

MA Bingzhen,LI Xiu. Roadway influences on advanced DC detection in underground mine[J]. Coal Geology & Exploration,2013,41(1):78−81.

[15] 刘洋,吴小平. 巷道超前探测的并行Monte Carlo方法及电阻率各向异性影响[J]. 地球物理学报,2016,59(11):4297−4309.

LIU Yang,WU Xiaoping. Parallel Monte Carlo method for advanced detection in tunnel incorporating anisotropic resistivity effect[J]. Chinese Journal of Geophysics,2016,59(11):4297−4309.

[16] 胡雄武,张平松. 坑道隐伏陷落柱直流电阻率法超前探测分析[J]. 地球物理学进展,2019,34(3):1176−1183.

HU Xiongwu,ZHANG Pingsong. Analysis of hidden collapse column ahead of tunneling face detected by DC resistivity method[J]. Progress in Geophysics,2019,34(3):1176−1183.

[17] 韩德品,石学锋,石显新,等. 煤矿老窑积水巷道直流电法超前探测异常特征研究[J]. 煤炭科学技术,2019,47(4):157−161.

HAN Depin,SHI Xuefeng,SHI Xianxin,et al. Study on anomaly characteristics of in-advance DC electric detection of water-accumulated roadway in abandoned coal mines[J]. Coal Science and Technology,2019,47(4):157−161.

[18] 王鹏,鲁晶津,王信文. 再论巷道直流电法超前探测技术的有效性[J]. 煤炭科学技术,2020,48(12):257−263.

WANG Peng,LU Jingjin,WANG Xinwen. Restudy on effectivty of direct current advance detection method in roadway[J]. Coal Science and Technology,2020,48(12):257−263.

[19] 李飞,张永超,连会青,等. 掘进工作面直流电法超前探测技术问题探讨[J]. 煤炭科学技术,2020,48(12):250−256.

LI Fei,ZHANG Yongchao,LIAN Huiqing,et al. Discussion on problems of direct current advance detection method in roadway driving face[J]. Coal Science and Technology,2020,48(12):250−256.

[20] 李进. 多点源矿井直流电法超前探测有限元正演数值模拟[D]. 西安:西安科技大学,2021.

LI Jin. Finite element forward numerical simulation of advanced detection by DC method in multi-point source mine[D]. Xi’an:Xi’an University of Science and Technology,2021.

[21] 周官群,王亚飞,陈兴海,等. 掘进工作面“三角锥” 型直流电法超前探测正演研究[J]. 煤炭学报,2022,47(8):3015−3023.

ZHOU Guanqun,WANG Yafei,CHEN Xinghai,et al. Research on forward modeling of “triangular cone” type direct current method for heading detection[J]. Journal of China Coal Society,2022,47(8):3015−3023.

[22] 韩丹. 坑道三方向视电阻率超前探测响应特征研究[D]. 淮南:安徽理工大学,2022.

HAN Dan. Study on response characteristics of advanced detection of three-dimensional apparent resistivity in tunnel[D]. Huainan:Anhui University of Science & Technology,2022.

[23] 刘斌,李术才,聂利超,等. 隧道含水构造直流电阻率法超前探测三维反演成像[J]. 岩土工程学报,2012,34(10):1866−1876.

LIU Bin,LI Shucai,NIE Lichao,et al. Advanced detection of water-bearing geological structures in tunnels using 3D DC resistivity inversion tomography method[J]. Chinese Journal of Geotechnical Engineering,2012,34(10):1866−1876.

[24] 胡雄武,张平松,吴荣新,等. 矿井多极供电电阻率法超前探测技术研究[J]. 地球物理学进展,2010,25(5):1709−1715.

HU Xiongwu,ZHANG Pingsong,WU Rongxin,et al. Study on the advanced detection technique by multi-electrode direct current resistivity in mines[J]. Progress in Geophysics,2010,25(5):1709−1715.

[25] 张平松,李永盛,胡雄武. 巷道掘进直流电阻率法超前探测技术应用探讨[J]. 地下空间与工程学报,2013,9(1):135−140.

ZHANG Pingsong,LI Yongsheng,HU Xiongwu. Application and discussion of the advanced detection technology with DC resistivity method in tunnel[J]. Chinese Journal of Underground Space and Engineering,2013,9(1):135−140.

[26] XIE Haijun,LI Wanlu,LI Jin,et al. A finite element numerical simulation analysis of mine direct current method’s advanced detection under varied field sources[J]. Frontiers in Earth Science,2023,11:1273698.

[27] DENG Xiaokang,LIU Jianxin,LIU Haifei,et al. 3D finite element numerical simulation of advanced detection in roadway for DC focus method[J]. Journal of University of Science and Technology Beijing,2013,23(7):2187−2193.

[28] 许少毅,卢文庭,王承涛,等. 新型煤矿巷道随掘超前探测方法研究[J]. 仪器仪表学报,2023,44(4):206−218.

XU Shaoyi,LU Wenting,WANG Chengtao,et al. Novel advanced detection method with excavation in coal mine roadway[J]. Chinese Journal of Scientific Instrument,2023,44(4):206−218.

[29] 李宇腾,程建远,鲁晶津,等. 基于人工神经网络的矿井直流电阻率法超前预测方法[J]. 煤田地质与勘探,2023,51(6):185−193.

LI Yuteng,CHENG Jianyuan,LU Jingjin,et al. Direct current resistivity method for the advance prediction of water Hazards in coal mines based on an artificial neural network[J]. Coal Geology & Exploration,2023,51(6):185−193.

[30] 许少毅,卢文庭,王承涛,等. 随掘连续超前探测异常体辨识成像研究[J]. 仪器仪表学报,2023,44(11):159−175.

XU Shaoyi,LU Wenting,WANG Chengtao,et al. Research on anomaly identification imaging with continuous advanced detection of excavation[J]. Chinese Journal of Scientific Instrument,2023,44(11):159−175.

[31] 李飞. 掘进巷道直流电法与瞬变电磁超前探测联合反演研究[D]. 青岛:山东科技大学,2013.

LI Fei. Study on joint inversion of direct current method and transient electromagnetic advanced detection in driving roadway[D]. Qingdao:Shandong University of Science and Technology,2013.

[32] 胡雄武,徐标,张平松,等. 采煤工作面底板水双频激电法数值仿真与探测试验[J]. 煤炭学报,2022,47(8):3024−3036.

HU Xiongwu,XU Biao,ZHANG Pingsong,et al. Numerical simulation and exploration test for water from the floor strata of coal-mining face using dual-frequency induced polarization method[J]. Journal of China Coal Society,2022,47(8):3024−3036.

Share

COinS
 
 

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.