| Citation: |
CAO Anye，WANG Changbin，YANG Xu，et al. Fractures characterization in mining field considering seismic location accuracy and its application on pre-warning coal burst hazards[J]. Coal Science and Technology，2024，52（2）：1−9. DOI: 10.12438/cst.2023-1968
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Due to high-intensity mining and complex geological conditions, frequent occurrence of rock burst disasters in deep coal mines in China is posing serious threats to mine safety and efficiency. The insufficient locating accuracy of the seismic monitoring system in burst-prone coal mines is still presented, which leads to difficulties in accurately identifying and controlling coal burst hazards. To precisely characterize spatial evolution of seismic activities and reduce the impact of location error on the seismic pre-warning, this paper used the current seismic networks in burst-prone coal mines to conduct forward modeling experiments to explore the distribution characteristics of source location error vectors in the mining field. A new method for characterizing seismic fracture connectivity that considers location accuracy impacts was proposed and applied for coal burst pre-warning in a longwall face. The results show that significant vectorial differences of seismic source location accuracy at different area of the mining field is a key factor in false identifying coal burst risks. The proposed Fracture-connectivity-probability Index (Fsum) characterizes the rupture scale by using the near-field radius that relates to the seismic energy level, which considers the locating error impacts on fracture connectivity between seismic sources at different distances.Fsumcan restore the distribution law of the fracture extension and connectivity probabilities of the coal-rock mass in the greatest extent, and it also corresponds well to the coal burst risks.Fsumcan balance forecast accuracy and recall rate and have better correlation with coal burst, which can be an ideal indicator for periodical coal burst risk assessment. The outcome of this research can provide references for evaluating the monitoring capability of seismic networks and improving the ability and efficiency of coal burst pre-warning and prevention.
| [1] |
袁 亮,姜耀东,何学秋,等. 煤矿典型动力灾害风险精准判识及监控预警关键技术研究进展[J]. 煤炭学报,2018,43(2):306−318.
YUAN Liang,JIANG Yaodong,HE Xueqiu,et al. Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine[J]. Journal of China Coal Society,2018,43(2):306−318.
|
| [2] |
潘立友,牛衍凯,寇天司. 深部复杂立体边界采场冲击地压防控技术研究[J]. 岩土工程学报,2022,44(6):1124−1132.
PAN Liyou,NIU Yankai,KOU Tiansi. Prevention and control technology of rock burst in deep stope with complex solid boundary[J]. Chinese Journal of Geotechnical Engineering,2022,44(6) :1124−1132.
|
| [3] |
窦林名,田鑫元,曹安业,等. 我国煤矿冲击地压防治现状与难题[J]. 煤炭学报,2022,47(1):152−171.
DOU Linming,TIAN Xinyuan,CAO Anye,et al. Present situation and problems of coal mine rock burst prevention and control in China[J]. Journal of China Coal Society,2022,47(1):152−171.
|
| [4] |
李 楠,王恩元,GE M. 微震监测技术及其在煤矿的应用现状与展望[J]. 煤炭学报,2017,42(S1):83−96.
LI Nan,WANG Enyuan,GE M. Microseismic monitoring technique and its applications at coal mines:present status and future prospects[J]. Journal of China Coal Society,2017,42(S1):83−96.
|
| [5] |
GIBOWICZ SJ,KIJKO A. An introduction to mining seismology[M]. Poland:Polish Academy of Sciences:Warsaw,1994.
|
| [6] |
KIJKO A,SCIOCATTI M. Optimal spatial distribution of seismic stations in mines[J]. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts,1995,32( 6):607−615.
|
| [7] |
STEC K. Characteristics of seismic activity of the Upper Silesian Coal Basin in Poland[J]. Geophysical Journal International,2007,168(2):757−768. doi: 10.1111/j.1365-246X.2006.03227.x
|
| [8] |
CHENG J,SONG G,SUN X,et al. Research developments and prospects on microseismic source location in mines[J]. Engineering,2018,4(5):653−660. doi: 10.1016/j.eng.2018.08.004
|
| [9] |
WANG C,SI G,ZHANG C,et al. Location error based seismic cluster analysis and its application to burst damage assessment in underground coal mines[J]. International Journal of Rock Mechanics and Mining Sciences,2021,143:104784. doi: 10.1016/j.ijrmms.2021.104784
|
| [10] |
ZHU M,WANG L,LIU X,et al. Accurate identification of microseismic P-and S-phase arrivals using the multi-step AIC algorithm[J]. Journal of Applied Geophysics,2018,150:284−293. doi: 10.1016/j.jappgeo.2018.01.007
|
| [11] |
巩思园,窦林名,马小平,等. 提高煤矿微震定位精度的台网优化布置算法[J]. 岩石力学与工程学报,2012,31(1):8−17. doi: 10.3969/j.issn.1000-6915.2012.01.002
GONG Siyuan,DOU Linming,MA Xiaoping,et al. Optimization algorithm of network configuration for improving location accuracy of microseism in coal mine[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(1):8−17. doi: 10.3969/j.issn.1000-6915.2012.01.002
|
| [12] |
丛 森. 煤矿井—地联合微地震定位技术研究[D]. 西安:西安科技大学,2019.
CONG Sen. Microseismic source location method research based on ground-underground layout in coal mine[D]. Xi’an:Xi’an University of Science and Technology,2019.
|
| [13] |
高永涛,吴庆良,吴顺川,等. 基于D值理论的微震监测台网优化布设[J]. 北京科技大学学报,2013,35(12):1538−1545.
GAO Yongtao,WU Qingliang,WU shunchuan,et al. Optimization of microseismic monitoring networks based on the theory of D-optimal design[J]. Chinese Journal of Engineering,2013,35(12):1538−1545.
|
| [14] |
WANG C,CAO A,ZHANG C,et al. A new method to assess coal burst risks using dynamic and static loading analysis[J]. Rock Mechanics and Rock Engineering,2020,53:1113−1128. doi: 10.1007/s00603-019-01968-5
|
| [15] |
GEIGER L. Probability method for the determination of earthquake epicenters from the arrival time only[J]. Bulletin of St. Louis University,1912,8(1):56−71.
|
| [16] |
李夕兵,宫凤强. 基于动静组合加载力学试验的深部开采岩石力学研究进展与展望[J]. 煤炭学报,2021,46(3):846−866.
LI Xibing,GONG Fengqiang. Research progress and prospect of deep mining rock mechanics based on coupled static-dynamic loading testing[J]. Journal of China Coal Society,2021,46(3):846−866.
|
| [17] |
董陇军,张义涵,孙道元,等. 花岗岩破裂的声发射阶段特征及裂纹不稳定扩展状态识别[J]. 岩石力学与工程学报,2022,41(1):120−131.
DONG Longjun,ZHANG Yihan,SUN Daoyuan,et al. Stage characteristics of acoustic emission and identification of unstable crack state for granite fractures[J]. Chinese Journal of Rock Mechanics and Engineering,2022,41(1):120−131.
|
| [18] |
赵 永,杨天鸿,王述红,等. 基于微震反演裂隙的采动岩体损伤分析方法及其工程应用[J]. 岩土工程学报,2022,44(2):305−314. doi: 10.11779/CJGE202202012
ZHAO Yong,YANG Tianhong,WANG Shuhong,et al. Damage analysis method for mining rock mass based on microseismic-derived fractures and its engineering application[J]. Chinese Journal of Geotechnical Engineering,2022,44(2):305−314. doi: 10.11779/CJGE202202012
|
| [19] |
贾宝新,贾志波,赵 培,等. 基于高密度台阵的小尺度区域微震定位研究[J]. 岩土工程学报,2017,39(4):705−712. doi: 10.11779/CJGE201704016
JIA Baoxin,JIA Zhibo,ZHAO Pei,et al. Microseism location in local scale region based on high-density array[J]. Chinese Journal of Geotechnical Engineering,2017,39(4):705−712. doi: 10.11779/CJGE201704016
|
| [20] |
JAGER A,RYDER J. A handbook on rock engineering practice for tabular hard rock mines[M]. Johannesburg:Safety in Mines Research Advisory Committee,1999.
|
| [21] |
KAISER PK,MCCREATH DR,TANNANT DD. Rockburst research handbook[M]. Ontario Canada:Camiro Mining Division,Mining Research Directorate,1996.
|
| 1. |
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|
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