Research and application of mine distributed seismic advance detection system

Authors

DOU Wenwu, Shanxi Jincheng Anthracite Mining Group Technology Research Institute Co. Ltd., Jincheng 048006, China;State Key Laboratory of Coal and CBM Co-mining, Jincheng 048012, China
WEI Jinshan, Shanxi Jincheng Anthracite Mining Group Technology Research Institute Co. Ltd., Jincheng 048006, China;State Key Laboratory of Coal and CBM Co-mining, Jincheng 048012, China
JIAO Yang, Shanxi Jincheng Anthracite Mining Group Technology Research Institute Co. Ltd.,Jincheng 048006, China
YANG Gaofeng, Shanxi Jincheng Anthracite Mining Group Technology Research Institute Co. Ltd., Jincheng 048006, China
JI Zeyu, State Key Laboratory of Coal and CBM Co-mining, Jincheng 048012, China

Abstract

The mine distributed seismic advance detection system is a set of equipment for detecting the heading geological structure of the mine tunnel. The system is based on the seismic reflection theory. The geologic anomaly is determined by the distributed geophones or the distributed excitation of the source. In order to improve the prediction and prediction accuracy of the structure during coal mining, the distributed observation system and the hole capsule detectors are used for data acquisition to improve the sensitivity of the equipment, the negative apparent velocity principle is used to exclude the interference of the lateral and rear geological anomalies, and diffraction common offset algorithm is used to optimize data inversion results. After a large number of tests and practice, it is concluded that the system can effectively detect geological anomaly information within 70 meter in front by using artificial hammer source and within the range of 150–200 m in front by explosive source. The research results show that the mine distributed seismic advance detection system achieves the accuracy and efficiency of geological structure detection in the mining process through hardware-to-software optimization.

Keywords

distributed earthquake, advance detection system, capsule detector, negative apparent velocity, diffraction common offset

DOI

10.3969/j.issn.1001-1986.2020.02.033

Recommended Citation

DOU Wenwu, WEI Jinshan, JIAO Yang, et al. (2020) "Research and application of mine distributed seismic advance detection system," Coal Geology & Exploration: Vol. 48: Iss. 2, Article 34.
DOI: 10.3969/j.issn.1001-1986.2020.02.033
Available at: https://cge.researchcommons.org/journal/vol48/iss2/34

Reference

[1] 王季. 反射槽波探测采空巷道的实验与方法[J]. 煤炭学报,2015,40(8):1879-1885. WANG Ji. Experiment and method of void roadway detection using reflected in-seam wave[J]. Journal of China Coal Society,2015,40(8):1879-1885.

[2] 段毅,许献磊. 地质雷达超前探测在常村煤矿的应用研究[J]. 中国矿业,2017,26(8):150-153. DUAN Yi,XU Xianlei. Advanced detection application by using geological radar in Changcun coal mine[J]. China Mining Magazine,2017,26(8):150-153.

[3] 段天柱. 透射槽波层析成像在煤矿工作面隐伏构造探测中的应用[J]. 矿业安全与环保,2018,45(2):68-71. DUAN Tianzhu. Application of tomography in transmission channel wave to detect concealed structures in working face[J]. Mining Safety & Environmental Protection,2018,45(2):68-71.

[4] 赵朋朋. 槽波透射与反射联合勘探在小构造探测中的应用[J]. 煤炭工程,2017,49(5):47-50. ZHAO Pengpeng. Application of ISS transmission and reflection method in detection of small structures[J]. Coal Engineering,2017,49(5):47-50.

[5] 贾茜,张仲礼,田小超,等. 矿井无线电波透视法在唐家会矿井61101工作面隐伏断层探测中的应用[J]. 煤田地质与勘探,2017,45(1):137-142. JIA Qian,ZHANG Zhongli,TIAN Xiaochao,et al. Application of radio wave perspective method in exploration of concealed fault in 61101 working face of Tangjiahui mine[J]. Coal Geology & Exploration,2017,45(1):137-142.

[6] 左汪会. 煤层工作面小构造无线电波透视探测技术研究[D]. 淮南:安徽理工大学,2017. ZUO Wanghui. Research on detection of radio wave penetration for small geological structure in coal face[D]. Huainan:Anhui University of Science & Technology,2017.

[7] 郭来功,戴广龙,杨本才,等.基于面波的巷道揭煤超前探测试验研究[J]. 煤炭科学技术,2017,45(6):201-206. GUO Laigong,DAI Guanglong,YANG Bencai,et a1. Experimental study on advanced detection in uncovering coal tunnel based on tunnel surface wave[J]. Coal Science and Technology,2017,45(6):201-206.

[8] 覃思,程建远,胡继武,等. 煤矿采空区及巷道的井地联合地震超前勘探[J]. 煤炭学报,2015,40(3):636-639. QIN Sî,CHENG Jianyuan,HU Jiwu,et al. Coal-seam-ground -seismic for advance detection of goaf and roadway[J]. Journal of China Coal Society,2015,40(3):636-639.

[9] 程裕斌. 矿井构造与瓦斯的震波超前探测技术应用分析[C]//煤矿物探学术论文集(2007). 山东煤炭学会:中国煤炭学会,2007:4. CHENG Yubin. The Analysis and application of seismic advance detection technology for mine structure and gas[C]//Collection of Academic Papers on Geophysical Prospecting of Coal Mines(2007). Shandong Coal Society:China Coal Society,2007:4.

[10] 胡运兵. 矿井远距离超前探测系统与应用研究[D]. 长沙:中南大学,2014. HU Yunbing. The study of system and application of remote and advanced mine detection[D]. Changsha:Central South University,2014.

[11] 刘盛东. MSP技术及其在煤矿巷道小构造探测中的应用[C]//中国煤炭学会矿井地质专业委员会. 2007年学术论坛论文集. 安徽理工大学地球与环境学院、中国煤炭学会矿井地质委员会:中国煤炭学会,2007:4. LIU Shengdong. MSP technology and the application of detecting small geologic structure in coal mine laneway[C].Proceedings of the 2007 Academic Forum of the Mine Geology Professional Committee of China Coal Society. School of Earth and Environment,Anhui University of Science and Technology,Mine Geological Committee of China Coal Society:China Coal Society,2007:4.

[12] 李俊杰,张红纲,何建设,等. TSP探测精度分析及其在过江隧洞超前预报中的应用[J]. 煤田地质与勘探,2019,47(4):193-200. LI Junjie,ZHANG Honggang,HE Jianshe,et al. Detection accuracy analysis of TSP and its application in a river-crossing tunnel construction[J]. Coal Geology & Exploration,2019,47(4):193-200.

[13] 郭立全,刘盛东. 巷道构造震波超前探测技术及其应用[J]. 煤炭科学技术,2008,36(11):99-101. GUO Liquan,LIU Shengdong. Mine seismic prediction technology and application to mine roadway tectonic[J]. Coal Science and Technology,2008,36(11):99-101.

[14] 朱海龙. 影响TSP203隧道超前地质预报系统探测准确度的因素研究[J]. 工程地球物理学报,2016,13(1):82-87. ZHU Hailong. Study on factors affecting the accuracy of TSP203 tunnel advance geological prediction system[J]. Chinese Journal of Engineering Geophysics,2016,13(1):82-87.

[15] 刘少虹,潘俊锋,王洪涛,等. 基于地震波和电磁波CT联合探测的采掘巷道冲击危险性评价方法[J]. 煤炭学报,2018,43(11):2980-2991. LIU Shaohong,PAN Junfeng,WANG Hongtao,et al. Assessment of rock burst risk in roadway based on the combination of seismic and electromagnetic wave CT technology[J]. Journal of China Coal Society,2018,43(11):2980-2991.

[16] 侯伟,杨正华. 负视速度超前预报倾斜界面位置确定[J]. 物探与化探,2015,39(5):1089-1093. HOU Wei,YANG Zhenghua. The determination of the position of tilted interface matching in negative apparent velocity tunnel seismic prediction[J]. Geophysical and Geochemical Exploration,2015,39(5):1089-1093.