摘要
我国煤炭行业微震监测系统普遍应用于冲击地压矿井,但各矿井的微震监测系统仅对本井田内部进行监测,而对井田边界区域的定位能力和精度均较低。随着我国煤矿开采深度及强度的增加,矿间开采扰动引起的动力显现增多。研发了矿内-矿间微震监测系统,旨在实现煤矿微震监测系统之间的协作,提高井田边界的监测水平,并安装于义马煤田。该系统现场测试效果良好,主要表现为:微震系统有效监测范围增加,尤其对于井田边界区域;矿间微震使井田边界区域由台网外转移台网内,定位精度提高。矿间微震对义煤集团井田边界高位覆岩运动监测发现,井田边界附近岩体破裂范围集中在21220采空区后方,且出现较多的大能量事件。
In China’s coal industry, the microseismic monitoring system has been widely used in various rock burst mines. However, the microseismic monitoring system among mines only monitors the inner part of the mine field. However, for the boundary area of the mine field, the positioning accuracy is relatively low. The dynamic phenomena induced by inter mine mining disturbance appears in many mining areas with the increase of mining depth and intensity in China. Based on the background, an associative microseismic monitoring system was set to enhance the cooperative monitoring effect of dynamic phenomena caused by mining disturbance in the boundary area. The system is installed in Yuejin Coal Mine. The monitoring results show that the system has achieved good application results, the main performances are as follows: the effective monitoring range of the microseismic system is increased, especially for the boundary area of the mine field;the union mine microseismic makes the boundary area of the mine field transfer from the outside to inside of the network, and the positioning accuracy is improved. It is found that the scope of rock fracture near the boundary coal pillar mainly concentrates behind the goaf of 21220 working face, where a large number of high energy events have occurred.
作者
辛崇伟
姜福兴
樊硕
魏向志
张立明
XIN Chong-wei;JIANG Fu-xing;FAN Shuo;WEI Xiang-zhi;ZHANG Li-ming(Civil and Resource Engineering School,University of Science and Technology Beijing,Beijing 100083,China;Beijing Anke Xingye Science and Technology Co.,Ltd.,Beijing 100083,China;Yima Coal Industry Group Co.,Ltd.,Yima 472300,China)
出处
《煤炭工程》
北大核心
2021年第6期107-112,共6页
Coal Engineering
关键词
冲击地压
微震监测
台网布设
定位精度
监测预警
rock burst
microseismic monitoring
network layout
location precision
monitoring and early warning
