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首页> 外文期刊>Rock Mechanics and Rock Engineering >Microseismic Precursory Characteristics of Rock Burst Hazard in Mining Areas Near a Large Residual Coal Pillar: A Case Study from Xuzhuang Coal Mine, Xuzhou, China
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Microseismic Precursory Characteristics of Rock Burst Hazard in Mining Areas Near a Large Residual Coal Pillar: A Case Study from Xuzhuang Coal Mine, Xuzhou, China

机译：大型煤柱附近采矿区岩爆危险的微震前兆特征 - 以徐庄煤矿，徐州，徐州

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Identification of precursory characteristics is a key issue for rock burst prevention. The aim of this research is to provide a reference for assessing rock burst risk and determining potential rock burst risk areas in coal mining. In this work, the microseismic multidimensional information for the identification of rock bursts and spatial-temporal pre-warning was investigated in a specific coalface which suffered high rock burst risk in a mining area near a large residual coal pillar. Firstly, microseismicity evolution prior to a disastrous rock burst was qualitatively analysed, and the abnormal clustering of seismic sources, abnormal variations in daily total energy release, and event counts can be regarded as precursors to rock burst. Secondly, passive tomographic imaging has been used to locate high seismic activity zones and assess rock burst hazard when the coalface passes through residual pillar areas. The results show that high-velocity or velocity anomaly regions correlated well with strong seismic activities in future mining periods and that passive tomography has the potential to describe, both quantitatively and periodically, hazardous regions and assess rock burst risk. Finally, the bursting strain energy index was further used for short-term spatial-temporal pre-warning of rock bursts. The temporal sequence curve and spatial contour nephograms indicate that the status of the danger and the specific hazardous zones, and levels of rock burst risk can be quantitatively and rapidly analysed in short time and in space. The multidimensional precursory characteristic identification of rock bursts, including qualitative analysis, intermediate and short-time quantitative predictions, can guide the choice of measures implemented to control rock bursts in the field, and provides a new approach to monitor and forecast rock bursts in space and time.
机译：识别前兆特征是岩石爆破预防的关键问题。该研究的目的是提供评估岩爆风险和确定煤矿中潜在岩爆风险区域的参考。在这项工作中，研究了用于识别岩石突发和空间时间预警的微震多维信息在一个大型残留煤柱附近的矿区遭受高岩石爆裂风险的特定煤炭中。首先，在灾难性的岩石突发之前进行微震性演化进行了定性分析，并且地震源的异常聚类，每日总能量释放的异常变化，以及事件计数可以被视为岩石爆发的前体。其次，被动断层摄影成像已被用于定位高地震活动区，并在煤炭通过剩余支柱区域时评估岩爆危险。结果表明，高速度或速度异常区域在未来采矿期的强烈地震活动中相关，并且被动断层扫描具有潜力，可以定量和定期，危险地区和评估岩爆风险。最后，爆破应变能指数进一步用于岩爆的短期空间时间预警。时间序列曲线和空间轮廓网页表明危险和特定危险区域的状态以及岩石突发风险的水平可以在短时间和空间中进行定量和快速分析。岩石爆发的多维前兆特征识别，包括定性分析，中间和短时定量预测，可以指导实施以控制该领域的岩石爆裂的措施，并提供了一种新的监控和预测空间爆发的方法时间。

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