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YU Chunsheng, ZHAI Changzhi. Study on Reasonable Location of Top and Bottom Extraction Roadway of Confined Water Based on High Precision Micro-seismic Monitoring[J]. Safety in Coal Mines, 2020, 51(9): 52-58.
Citation: YU Chunsheng, ZHAI Changzhi. Study on Reasonable Location of Top and Bottom Extraction Roadway of Confined Water Based on High Precision Micro-seismic Monitoring[J]. Safety in Coal Mines, 2020, 51(9): 52-58.

Study on Reasonable Location of Top and Bottom Extraction Roadway of Confined Water Based on High Precision Micro-seismic Monitoring

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  • Published Date: September 19, 2020
  • Taking 1604 working face of Guhanshan Mine as the research background, by means of a high-precision micro-seismic monitoring system and numerical simulation, the dynamic failure characteristics of the surrounding rock and the danger of water inrush from the floor during the mining of the working face are studied. The results show that the asymmetrical energy release phenomenon occurs along the empty side and along the solid coal side of the bottom floor rock mass along the two sides of the working face. Among them, the bottom floor rock mass along the solid coal side has the largest damage scale with a depth of about 30 m. At a position of 12 m under the floor and 8 m in the inner staggered transportation lane, the energy density value of the surrounding rock is between 5-50 J/m2. Combined with the monitoring results of the surrounding rock deformation of the roadway, it is considered that the bottom pumping lane is located at this position and the mining disturbance is lower; the pumping roadway is located directly below the transport roadway or outside the transport roadway. The energy density of the surrounding rock release is greater than 100 J/m2, and the degree of disturbance is high. The numerical simulation results show that the bottom slot is located in the pressure relief area of the floor when the staggered groove is 8 m, which is located directly below the groove and is in the stress concentration area when the staggered groove is outside.
  • [1]
    李永恩,马念杰,马骥,等.深部承压水上底抽巷围岩破坏特征及合理位置[J].煤炭学报,2018,43(9):2491-2500.
    [2]
    国家煤矿安全监察局.防治煤与瓦斯突出细则[M].北京:煤炭工业出版社,2019.
    [3]
    施龙青,韩进.开采煤层底板“四带”划分理论与实践[J].中国矿业大学学报,2005,34(1):16-23.
    [4]
    宋文成,梁正召,刘伟韬,等.采场底板破坏特征及稳定性理论分析与试验研究[J].岩石力学与工程学报,2019,38(11):2208-2218.
    [5]
    华心祝,杨朋.深井大断面沿空留巷底板变形动态演化特征研究[J].中国矿业大学学报,2018,47(3):494.
    [6]
    杨随木.义安矿底板抽放巷合理层位数值模拟[J].煤矿安全,2015,46(6):164-166.
    [7]
    赵灿,程志恒,孔德中,等.近距离煤层群下行开采底板应力分布与瓦斯抽采技术研究[J].煤炭工程,2019,51(7):109-113.
    [8]
    汤铸,艾德春,彭斌,等.基于FLAC3D的高瓦斯矿井底抽巷布置位置优选[J].矿业安全与环保,2015,42(2):88-91.
    [9]
    刘志伟,张帅.高瓦斯突出煤层底抽巷合理布置研究[J].煤炭科学技术,2018,46(10):155-160.
    [10]
    李永恩.深部承压水上底抽巷围岩破坏规律及合理位置[D].北京:中国矿业大学(北京),2018.
    [11]
    南华,李明,关西彬.突出煤层底抽巷位置优化研究[J].河南理工大学学报(自然科学版),2015,34(4):463-467.
    [12]
    孟祥瑞,徐铖辉,高召宁,等.采场底板应力分布及破坏机制[J].煤炭学报,2010,35(11):1832-1836.
    [13]
    王连国,韩猛,王占盛,等.采场底板应力分布与破坏规律研究[J].采矿与安全工程学报,2013,30(3):317-322.
    [14]
    姜福兴,叶根喜,王存文,等.高精度微震监测技术在煤矿突水监测中的应用[J].岩石力学与工程学报,2008,27(9):1926-1932.
    [15]
    刘超,吴顺川,程爱平,等.采动条件下底板潜在导水通道形成的微震监测与数值模拟[J].北京科技大学学报,2014,36(9):1129-1135.
    [16]
    段建华,闫文超,南汉晨,等.井-孔联合微震技术在工作面底板破坏深度监测中的应用[J].煤田地质与勘探,2020,48(1):208-213.
    [17]
    朱介寿.地震学中的计算方法[M].北京:地震出版社,1988:35-47.
    [18]
    陈法兵.矿山微震定位子台网的分布对定位精度的影响[J].煤矿开采,2016,21(4):107-114.
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