Advanced detection response and application of transient electromagnetic field of shallow buried deep coil

doi:10.16265/j.cnki.issn1003-3033.2024.05.1294

Abstract

Abstract:

To effectively identify adverse geological conditions such as goaf, karst, and water-conducting fracture zones ahead of the tunnel face and prevent water inflow accidents during tunnel excavation, the application of shallow buried deep coil transient electromagnetic theory in tunnel advanced detection was investigated. A shallow buried deep coil advanced detection model was proposed by COMSOL software to investigate the propagation characteristics and abnormal response features of electromagnetic fields in different directions ahead of the tunnel face. The tunnel project between Jialingjiang Road Station and Xiangjiang Road Station Qingdao Metro Line 13 was used to validate the proposed model's performance in identifying abnormal responses. The results showed that the proposed model can effectively identify low-resistivity anomalies at different positions ahead of the tunnel surface. Moreover, the effect of anomalies in different azimuths on the electric field response was mainly presented in the response intensity. Transient electromagnetic field can effectively distinguish the air zone and rock zone, and the electromagnetic field attenuated faster in the high-resistance surrounding rock near the surface due to the influence of the air zone, resulting in high-resistance anomalies of the practical detection during inversion analysis.

Key words: shallow buried deep coil, transient electromagnetic, advanced detection, working face, low resistance anomalous body, tunnel construction

CLC Number:

X935

WANG Chunyuan, ZHANG Huan, MA Hongliang, LIANG Qinghua. Advanced detection response and application of transient electromagnetic field of shallow buried deep coil[J]. China Safety Science Journal, 2024, 34(5): 75-81.

Figures/Tables 12

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References 13

[1]	孟超, 李晓萌, 孙玉岭, 等. 基于ISM和信息熵的铁路隧道塌方风险分析[J]. 中国安全科学学报, 2018, 28(增1): 64-70.
	MENG Chao, LI Xiaomeng, SUN Yuling, et al. Risk analysis of railway tunnel collapse based on ISM and entropy-weighted[J]. China Safety Science Journal, 2018, 28(S1): 64-70. doi: 10.16265/j.cnki.issn1003-3033.2018.S1.012
[2]	王海洋, 赵树磊, 陈祥, 等. 我国隧道瓦斯事故统计及影响因素分析[J]. 中国安全科学学报, 2021, 31(4): 34-40. doi: 10.16265/j.cnki.issn1003-3033.2021.04.005
	WANG Haiyang, ZHAO Shulei, CHEN Xiang, et al. Statistics and influencing factors analysis of tunnel gas accidents in China[J]. China Safety Science Journal, 2021, 31(4): 34-40. doi: 10.16265/j.cnki.issn1003-3033.2021.04.005
[3]	何继善, 柳建新. 隧道超前探测方法技术与应用研究[J]. 工程地球物理学报, 2004, 1(4): 293-298.
	HE Jishan, LIU Jianxin. A study of the tunnel advanced detection technology and its application[J]. Chinese Journal of Engineering Geophysics, 2004, 1(4): 293-298.
[4]	邵珠山, 张鹏举, 张喆, 等. 隧道施工超前地质预报研究进展[J]. 长江科学院院报, 2022, 39(1): 70-77, 85. doi: 10.11988/ckyyb.20200874
	SHAO Zhushan, ZHANG Pengju, ZHANG Zhe, et al. Research progress of advanced geological prediction in tunnel construction[J]. Journal of Changjiang River Scientific Research Institute, 2022, 39(1): 70-77, 85.
[5]	钱七虎. 隧道工程建设地质预报及信息化技术的主要进展及发展方向[J]. 隧道建设, 2017, 37(3): 251-263.
	QIAN Qihu. Main Developments and directions of geological prediction and informatized technology of tunnel construction[J]. Tunnel Construction, 2017, 37(3): 251-263.
[6]	李术才, 薛翊国, 张庆松, 等. 高风险岩溶地区隧道施工地质灾害综合预报预警关键技术研究[J]. 岩石力学与工程学报, 2008, 27(7): 1297-1307.
	LI Shucai, XUE Yiguo, ZHANG Qingsong, et al. Key technology study on comprehensive prediction and early-warning of geological hazards during tunnel construction in high-risk karst areas[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(7): 1297-1307.
[7]	武强. 我国矿井水防控与资源化利用的研究进展、问题和展望[J]. 煤炭学报, 2014, 39(5): 795-805.
	WU Qiang. Progress,problems and prospects of prevention and control technology of mine water and reutilization in China[J]. Journal of China Coal Society, 2014, 39(5): 795-805.
[8]	张国恩, 祁云, 赵杰, 等. 乌兰木伦煤矿2^-2煤二盘区首采面探放水技术[J]. 中国安全科学学报, 2022, 32(增1): 84-89.
	ZHANG Guoen, QI Yun, ZHAO Jie, et al. Water exploration and drainage technology of first mining face of Ulan Mulun 2^-2 coal panel Ⅱ area[J]. China Safety Science Journal, 2022, 32(S1): 84-89. doi: 10.16265/j.cnki.issn1003-3033.2022.S1.1003
[9]	张向礼, 范飞, 李佳兴, 等. 高原不良地质铁路隧道水害动态控制技术[J]. 中国安全科学学报, 2020, 30(增1): 84-91.
	ZHANG Xiangli, FAN Fei, LI Jiaxing, et al. Dynamic control technology of water disaster in railway tunnel with bad geology in plateau[J]. China Safety Science Journal, 2020, 30(S1): 84-91. doi: 10.16265/j.cnki.issn1003-3033.2020.S1.016
[10]	SWIDINSKY A, NABIGHIAN M. On smoke rings produced by a loop buried in a conductive half-space[J]. Geophysics, 2015, 80(4): 225-236. doi: 10.1190/GEO2015-0002.1
[11]	SWIDINSKY A, NABIGHIAN M. Transient electromagnetic fields of a buried horizontal magnetic dipole[J]. Geophysics, 2016, 81(6): 225-236.
[12]	FULLAGAR P K. Smoke rings re-visited: an analytic solution for the transient electric field produced by a vertical magnetic dipole on or in a homogeneous conductive half-space[J]. Exploration Geophysics, 2022, 53(6): 591-601.
[13]	牛之琏. 时间域电磁法原理[M]. 长沙: 中南工业大学出版社, 1992: 5-30.

对象	电导率/ (S·m^-1)	相对磁导率	相对介电常数
岩体	0.01	1.00	10
隧道(已挖)	1.00×10^-6	1.00	1.00
低阻异常体	1.00	1.00	60.00
空气	1.00×10^-6	1.00	1.00
发射线圈(Tx)	6.00×10⁷	1.00	1.00
接收线圈(Rx)	6×10⁷	1.00	1.00