Application of the horizontal seismic profiling-based advance detection technology to the excavation of rock roadways in coal mines using tunnel boring machines

Authors

ZHANG Sheng, College of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China; Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo 454003, ChinaFollow
CHEN Zhao, College of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, ChinaFollow
LU Song, China Railway Southwest Research Institute Co., Ltd., Chengdu 611731, China
YANG Zhanbiao, Coal Mining and Utilization Research Institute, Pingdingshan Tian’an Coal Mining Co., Ltd., Pingdingshan 467099, China
JI Panjun, Henan Pingbao Coal Co., Ltd., Xuchang 461714, China
HE Fei, China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, China
LU Yiqiang, China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, China
LIU Jiawei, College of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China

Abstract

With the gradual application of full-face tunnel boring machines (TBMs) to the excavation of rock roadways in coal mines, there is an increasingly urgent need for the accurate and rapid advance prediction of unfavorable geological structures. This study analyzed the characteristics of active-source seismic wave-based advance detection methods and the applicability of the advance detection technology based on TBM seismic while drilling (TSWD) with TBM rock-breaking vibration as a seismic source. Then, by combining the geological and production conditions of coal mine roadways, this study proposed a horizontal seismic profiling (HSP)-based advance detection method applicable to the excavation of roadways in coal mines using TBMs. Then, the detection instrument with designed integrated explosion-proof hardware was applied to a TBM-excavated bottom drainage roadway in the Shoushan No.1 Mine, Pingdingshan City, Henan Province. This study detected near-horizontal thin coal seams in the roadway by constructing a spatial observation method and optimized the array arrangement parameters of geophones in the narrow space of a double shield TBM-excavated roadway. Finally, this study processed the original signals and obtained images of detection results through time-frequency analysis, cross-correlation interferometric processing, and the joint inversion of reflection and scattering data. The results show that the spatial observation method can identify thin coal seams that obliquely intersect with the roadway at low angles, with the optimal identification results obtained when the distance between the seismic source and the first geophone was designed at 15 m. Unfavorable geological structures in surrounding rocks can be accurately inferred by extracting effective signals through time-frequency analysis, determining virtual seismic source channels and reflection characteristic curves through cross-correlation interferometry, and plotting the stratigraphic reflection energy distribution maps of the detected area through imaging based on the joint inversion of reflection and scattering data. The results revealed by in-situ excavation were highly consistent with the detection results, indicating that the HSP-based advance detection method can achieve non-destructive advance prediction of geological conditions within a range of 100 m in front of the tunneling face. Therefore, this method assists in increasing TBMs' tunneling speed for rock roadways in coal mines.

Keywords

coal mine roadway, advance detection, horizontal seismic profiling method (HSP), Tunnel Boring Machine (TBM), rock-breaking seismic source

DOI

10.12363/issn.1001-1986.23.07.0451

Recommended Citation

ZHANG Sheng, CHEN Zhao, LU Song, et al. (2024) "Application of the horizontal seismic profiling-based advance detection technology to the excavation of rock roadways in coal mines using tunnel boring machines," Coal Geology & Exploration: Vol. 52: Iss. 3, Article 12.
DOI: 10.12363/issn.1001-1986.23.07.0451
Available at: https://cge.researchcommons.org/journal/vol52/iss3/12

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