Prediction of rockbursts in a typical island working face of a coal mine through microseismic monitoring technology
Prediction of rockbursts in a typical island working face of a coal mine through microseismic monitoring technology
复制标题
利用微震监测技术预测煤矿典型岛工作面岩爆
DOI：
10.1016/j.tust.2021.103972
复制
发表时间：
2021-04-28
影响因子：
6.9
通讯作者：
Zeng, Xiangzhen
中科院分区：
文献类型：
--
作者：
Zhang, Chao;Jin, Gaohan;Zeng, Xiangzhen
长期以来，煤炭在中国能源结构中占据主导地位。近年来，随着煤矿开采深度的增加，冲击地压等动力灾害影响着煤矿的安全生产。微震监测是一种非侵入式的监测技术，可以收集到很多关键信息，在煤矿安全监测中得到了广泛的应用。本文研究了煤岩体开采过程中的破坏机理和能量转换，揭示了围岩对煤层的控制作用。利用自建的高精度微震监测系统对采矿过程中的微震事件进行了监测，并采用多种分析方法对监测结果进行了量化，确定了2起岩爆事故。分析了不同参数对冲击地压的响应，总结了不同参数对冲击地压的响应特征。利用经典贝尼奥夫应变理论建立了微震能量与岩石损伤之间的函数关系。结合微震能量、应变、损伤程度和损伤程度，通过物理实验对煤岩体模型进行了验证和修正。定义了一个新的岩爆预测参数——能量岩爆预警指数（ERW），推导了ERW与微震能量的数值关系。利用该模型对监测数据进行了分析，结果表明，与其他分析方法相比，新模型能在一定程度上有效地评价煤岩体的稳定性。
Coal has dominated the energy structure in China for a long time. In recent years, dynamic disasters such as rockbursts have affected the safety of coal mine in production with the increase of coal mining depth. Microseismic monitoring is a non-intrusive monitoring technique that can be used to collect much key information: it has been widely applied in coal mine safety monitoring. In this paper, the failure mechanism and energy conversion in a coal-rock mass during mining were investigated, revealing the controlling effect of the surrounding rock mass on the coal seam. microseismic events during mining were monitored by using a self-built high-precision microseismic monitoring system, a variety of analytical methods have been used to quantify the monitoring results, and two rockburst accidents have been identified. The responses of different parameters before the rockburst were analyzed, and the response characteristics of different parameters to rockburst were summarized. The functional relationship between microseismic energy and rock damage was established by classical Benioff strain theory. Combined with the microseismic energy, strain, the degree of damage and the damage, the model of coal-rock mass was verified and modified through physical experiments. A new parameter for rockburst prediction (the energy rockburst warning (ERW) index) was defined and the numerical relationship between ERW and microseismic energy was deduced. The monitoring data were analyzed using this model and results showed that compared with other analysis, the new model can effectively assess the stability of coal-rock mass to a certain extent.