段建华,闫文超,南汉晨,张庆庆,樊鑫
DUAN Jianhua,YAN Wenchao,NAN Hanchen,ZHANG Qingqing,FAN Xin

• 1:中煤科工集团西安研究院有限公司
• 2:西安科技大学地质与环境学院

摘要(Abstract)：

准确预测底板采动破坏深度是承压水上采煤底板水害防治中的一个关键问题,对于防治水方案的制定至关重要。根据山西保德煤矿的地质特征与工作面布置特点,采用高精度井–孔联合微震监测技术,对81307工作面底板破坏深度开展实时监测。利用锤击方法,标定了定位参数,验证了定位精度,确保微震监测系统的定位精度能够满足防治水要求,监测期间工作面回采600 m。监测结果表明:底板破坏深度为30m,其中在81308二号回风巷下方破坏较深,81307一号回风巷下方破坏只有15m,工作面超前破坏距离为25m,监测结果与相邻81306工作面利用压水试验测量的底板破坏深度基本一致。研究表明,井–孔联合微震监测技术可以获得工作面底板破坏深度及其空间分布特征,更好地为煤矿防治水服务。
Accurate prediction of the mining damage depth of floor is a key problem in the prevention and control of mining floor water hazard especially in the case with confined water. It is very important for developing the strategy of water control. According to the geological characteristics and working face layout of Baode coal mine, Shaanxi Province, a high-precision microseismic monitoring system consisting of well and hole arrays was deployed to detect the floor damage depth in working face 81307 in real time. The velocity model was calibrated and the location accuracy was verified by hammering method. It is proved that the location accuracy of microseismic monitoring system could meet the requirements of water prevention and control. During the monitoring period, the working face was mined 600 meters. The study results show that the damage depth of the floor is 30 meters below the floor, among them, the damage depth of 81308 No.2 air return laneway was deeper than that of 81307 No.1 air return laneway, but the damage depth of 81307 No.1 air return laneway was only 15 meters, which is consistent with the results measured by hydraulic fracturing experiment in the adjacent working face 81306. The combined mine-hole microseismic monitoring technology can obtain the damage depth and its spatial distribution characteristics of the floor of the working face, and it can better serve coal mine water prevention and control.

关键词(KeyWords)： 井–孔联合微震监测技术;底板破坏深度;微震事件;保德煤矿
mine-hole joint microseismic monitoring technology;floor damage depth;microseismic events;Baode coal mine

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划课题(2017YFC0804103);; 中国煤炭科工集团有限公司科技创新基金项目(2017MS007)~~

作者(Author): 段建华,闫文超,南汉晨,张庆庆,樊鑫
DUAN Jianhua,YAN Wenchao,NAN Hanchen,ZHANG Qingqing,FAN Xin

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