•  
  •  
 

Coal Geology & Exploration

Abstract

Traditional tunnel seismic advance detection technology is limited by the use of explosives, the need for mining stoppages, prediction speed, detection range, and capabilities, making it challenging to meet the high-precision geological structure detection requirements of intelligent tunneling faces. In response, the seismic-while-tunneling technique utilizes the vibration of the roadheader cutting the coal wall as the seismic source. This method employs real-time data upload, automatic processing, and dynamic imaging. By leveraging information technology and software support, and utilizing real-time continuous super-saturation stacking supported by massive data, the imaging precision of geological anomalies ahead of the mining face is significantly enhanced. This study, conducted in Wangpo Coal Mine in Shanxi, involved deploying a seismic-while-tunneling monitoring system in two driving tunnels to perform detailed exploration of geological structures. Data accumulated within 48 hours after the commencement of monitoring can image geological anomalies within a 200-meter range ahead of the mining face. In the return airway of the 3217 working face, the reflected anomaly of the coal gangue compresssion zone 97 meters ahead of the mining face was successfully detected with a prediction error of 1 meter. In the transport tunnel of the 3303 working face, a collapse column 39 meters ahead of the mining face was identified with a prediction error of 2 meters. Additionally, in the same transport tunnel of the 3303 working face, two abnormal areas of coal seam fracture zones were detected. One located 148 meters ahead of the mining face had a prediction error of 1 meter, while the other, located beyond 211 meters ahead, despite being obstructed by a collapse column and a coal seam fracture zone, still produced relatively strong imaging results with a prediction error of 3 meters. These findings demonstrate that the seismic-while-tunneling monitoring technique can provide significant technical support for the prevention of gas disasters. The application results suggest that this technology is convenient for construction operations, with high detection accuracy, long detection distance, and strong detection capability, providing reliable geological support for intelligent and safe tunnel excavation in coal mines.

Keywords

mine safety, seismic-while-tunneling, geological structure, coal seam fracture zone, coal gangue compresssion zone, collapse column

DOI

10.12363/issn.1001-1986.24.03.0157

Reference

[1] BUCHANAN D J,MASON I M,DAVIS R. The coal cutter as a seismic source in channel wave exploration[J]. IEEE Transactions on Geoscience and Remote Sensing,1980,18(4):318–320.

[2] LUO Xun,KING A,VAN DE WERKEN M. Sensing roof conditions ahead of a longwall mining using the shearer as a seismic source[C]//IGARSS 2008–2008 IEEE International Geoscience and Remote Sensing Symposium. Boston,MA,USA. IEEE,2008:IV–17–IV.

[3] KING A,LUO Xun. Methodology for tomographic imaging ahead of mining using the shearer as a seismic source[J]. Geophysics,2009,74(2):M1−M8.

[4] LUO Xun,KING A,VAN DE WERKEN M. Tomographic imaging of rock conditions ahead of mining using the shearer as a seismic source—a feasibility study[J]. IEEE Transactions on Geoscience and Remote Sensing,2009,47(11):3671−3678.

[5] TAYLOR N,MERRIAM J,GENDZWILL D,et al. The mining machine as a seismic source for in–seam reflection mapping[C]//SEG Technical Program Expanded Abstracts 2001. Society of Exploration Geophysicists,2001:1365-1368.

[6] WESTMAN E C,HARAMY K Y,ROCK A D. Seismic tomography for longwall stress analysis[C]// In Proc. 2nd North Am. Rock Mech. Symp. 1996:397–403.

[7] WESTMAN E C,HEASLEY K A,SWANSON P L,et al. A correlation between seismic tomography,seismic events and support pressure[J]. DC Rocks 2001–38th U S Symposium on Rock Mechanics (USRMS),2001:319–326.

[8] LU Bin,CHENG Jianyuan,HU Jiwu,et al. Seismic features of vibration induced by mining machines and feasibility to be seismic sources[J]. Procedia Earth and Planetary Science,2011,3:76−85.

[9] 陆斌,程建远,胡继武,等. 采煤机震源有效信号提取及初步应用[J]. 煤炭学报,2013,38(12):2202−2207.

LU Bin,CHENG Jianyuan,HU Jiwu,et al. Shearer source signal extraction and preliminary application[J]. Journal of China Coal Society,2013,38(12):2202−2207.

[10] 陆斌. 以掘进机为震源对煤矿断层进行超前探测[C]//中国地球物理2013——第二十四专题论文集. 昆明,2013:23.

[11] 程久龙,高峰,孙晓云,等. 随掘地震去噪方法研究[C]//2014年中国地球科学联合学术年会——专题22:煤炭资源与矿山安全勘查技术论文集. 北京,2014:2–5.

[12] 覃思,程建远. 煤矿井下随采地震反射波勘探试验研究[J]. 煤炭科学技术,2015,43(1):116−119.

QIN Si,CHENG Jianyuan. Experimental study on seismic while mining for underground coal mine reflection survey[J]. Coal Science and Technology,2015,43(1):116−119.

[13] 刘欢,费小雪,贾吉喆,等. 随掘地震震源特征研究[J]. 能源技术与管理,2015,40(1):17−19.

LIU Huan,FEI Xiaoxue,JIA Jizhe,et al. Study on source characteristics of digging earthquake[J]. Energy Technology and Management,2015,40(1):17−19.

[14] 覃思. 随采地震井–地联合超前探测的试验研究[J]. 煤田地质与勘探,2016,44(6):148−151.

QIN Si. Underground–surface combined seismic while mining advance detection[J]. Coal Geology & Exploration,2016,44(6):148−151.

[15] 陆斌. 基于地震干涉的回采工作面随采地震成像方法[J]. 煤田地质与勘探,2016,44(6):142−147.

LU Bin. A Seismic while mining mathod of coal working–face based on seismic interferometry[J]. Coal Geology & Exploration,2016,44(6):142−147.

[16] 覃思. 煤矿井下随采地震技术的试验研究[D]. 北京:煤炭科学研究总院,2016.

QIN Si. Experimental study of seismic while mining in underground coal mines[D]. Beijing:China Coal Research Institute,2016.

[17] 程建远,覃思,陆斌,等. 煤矿井下随采地震探测技术发展综述[J]. 煤田地质与勘探,2019,47(3):1−9.

CHENG Jianyuan,QIN Si,LU Bin,et al. The development of seismic–while–mining detection technology in underground coal mines[J]. Coal Geology & Exploration,2019,47(3):1−9.

[18] 刘强. L1范数约束的随掘地震噪声衰减[J]. 煤炭学报,2021,46(8):2699−2705.

LIU Qiang. Noise attenuation based on L1–norm constraint inversion in seismic while drilling[J]. Journal of China Coal Society,2021,46(8):2699−2705.

[19] 张平松,李圣林,郭立全. 矿井随掘地震震源时间函数及其模拟数据脉冲化处理研究[J]. 煤炭科学技术,2023,51(1):361−368.

ZHANG Pingsong,LI Shenglin,GUO Liquan. Study on time function of seismic source and numerical simulation data impulse processing of seismic while driving in mining[J]. Coal Science and Technology,2023,51(1):361−368.

[20] 程久龙,程鹏,李亚豪. 基于IABC–ICA的随掘地震去噪方法[J]. 煤炭学报,2022,47(1):413−422.

CHENG Jiulong,CHENG Peng,LI Yahao. Denoising method of mine seismic while drilling data based on IABC–ICA[J]. Journal of China Coal Society,2022,47(1):413−422.

[21] 李圣林,张平松,姬广忠,等. 随掘地震超前探测掘进机震源信号的复合干涉处理研究[J]. 采矿与安全工程学报,2022,39(2):305−316.

LI Shenglin,ZHANG Pingsong,JI Guangzhong,et al. Compound interference processing of roadheader source signal for advanced seismic detection while drilling[J]. Journal of Mining & Safety Engineering,2022,39(2):305−316.

[22] 张庆庆,吴海,徐晶,等. 矿用随掘分布式地震采集系统设计研究[J]. 煤炭技术,2022,41(2):69−71.

ZHANG Qingqing,WU Hai,XU Jing,et al. Research and design of distributed earthquake acquisition system used in mines as digging[J]. Coal Technology,2022,41(2):69−71.

[23] 王季,覃思,陆斌,等. 基于掘进机随掘震源的巷道侧前方断层成像技术[J]. 煤炭科学技术,2021,49(2):232−237.

WANG Ji,QIN Si,LU Bin,et al. Tomographic imaging technology of front side of roadway based on excavation source of roadheader[J]. Coal Science and Technology,2021,49(2):232−237.

[24] 覃思,崔伟雄,王伟. 随采地震数据质量定量评价[J]. 煤田地质与勘探,2019,47(3):20−24.

QIN Si,CUI Weixiong,WANG Wei. Quantitative quality evaluation of seismic–while–mining data[J]. Coal Geology & Exploration,2019,47(3):20−24.

[25] 段建华,王云宏,王保利. 随采地震监测数据采集控制软件开发[J]. 煤田地质与勘探,2019,47(3):35−40.

DUAN Jianhua,WANG Yunhong,WANG Baoli. Development of data acquisition and control software for seismic monitoring with mining[J]. Coal Geology & Exploration,2019,47(3):35−40.

[26] 王保利. 随采地震数据处理软件开发与应用[J]. 煤田地质与勘探,2019,47(3):29−34.

WANG Baoli. Development and application of software in seismic while mining data processing[J]. Coal Geology & Exploration,2019,47(3):29−34.

[27] 王季,覃思,吴海,等. 随掘地震实时超前探测系统的试验研究[J]. 煤田地质与勘探,2021,49(4):1−7.

WANG Ji,QIN Si,WU Hai,et al. Experimental study on advanced real time detection system of seismic–while–excavating[J]. Coal Geology & Exploration,2021,49(4):1−7.

[28] 王保利,程建远,金丹,等. 煤矿井下随掘地震震源特征及探测性能研究[J]. 煤田地质与勘探,2022,50(1):10−19.

WANG Baoli,CHENG Jianyuan,JIN Dan,et al. Characteristics and detection performance of the source of seismic while excavating in underground coal mines[J]. Coal Geology & Exploration,2022,50(1):10−19.

[29] 陈超. 上覆采空区积水煤层开采突水危险性研究[J]. 中国煤炭,2021,47(10):31−37.

CHEN Chao. Study on water inrush risk of coal seam with accumulated water in overlying goaf[J]. China Coal,2021,47(10):31−37.

[30] 陈超. 王坡煤矿水害防治质量管理体系建设[J]. 现代矿业,2017,33(10):216−218.

CHEN Chao. Construction of quality management system for water disaster prevention and control in wangpo coal mine[J]. Modern Mining,2017,33(10):216−218.

[31] 涂庆毅,袁亮,薛生,程远平,金侃,赵祖恒. 煤与瓦斯突出过程颗粒煤碰撞诱发二次破碎理论研究[J/OL]. 中国矿业大学学报.

TU Qingyi,YUAN Liang,XUE Sheng,CHENG Yuanping,JIN Kan,ZHAO Zuheng. Theoretical study on secondary crushing induced by coal particle impact during coal and gas outburst process [J/OL]. Journal of China University of Mining & Technology.

[32] 张玉贵,张子敏,曹运兴. 构造煤结构与瓦斯突出[J]. 煤炭学报,2007,032(3):281−284

ZHANG Yugui,ZHANG Ziming,CAO Yunxing. Deformed coal structure and control to coal-gas outburst[J]. Journal of China Coal Society,2007,032(3):281−284.

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.