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Trail Mountain Mine: A Case Study for Improving Locations of Mining-Induced Seismicity with Double-Difference Relocation

机译:普通山地矿:用双差分重定位改善采矿诱发地震区的地点

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In October 2000, temporary seismographic stations were installed above the Trail Mountain Mine, Emery County, Utah, USA to supplement a regional network. Over seven months, 1826 mining-induced seismic events were recorded with a magnitude range of M 0 to M 2.2 (Arabasz et al., 2002, 2005). Routine event locations for this dataset cluster around the longwall mining activity during the recording interval. However, applying a double difference relocation technique to the routine locations significantly improves the correlation between mining activity and event location. The resulting relocations depend greatly on station distribution and the number of arrival time picks. We use this dense temporary array to assess station distribution requirements for applying the double difference technique at other mines by systematically removing data from available stations, thus simulating sparser networks. The insight gained using the Trail Mountain dataset is used to develop a metric for assessing the usefulness of above-mine networks and to develop a tool for expanding seismic network coverage. To verify the appropriateness of these tools for wider application, we examine data from two additional mines located in the western United States. Improving the relative locations of mining-induced seismic events highlights the association of these events with active portions of the mine. Clusters, regions of quiescence and relative timing of events can be used by mine operators to assess hazard, optimize production, and evaluate performance of mine plans. The lessons learned from this study may be used in future network design to improve accuracy of event locations at other mines.
机译:2000年10月,临时地震站安装在路径山地矿,犹他州犹他州,USA,犹他州,以补充区域网络。超过七个月,记录了1826个挖掘诱导的地震事件,幅度范围为m 0至m 2.2(Arabasz等,2002,2005)。在录制间隔期间LongWALL挖掘活动周围的该数据集集群的例程事件位置。然而,对日常位置应用双差分重定位技术显着提高了采矿活动和事件位置之间的相关性。由此产生的重新定位大大依赖于站分布和抵达时间选择的数量。我们使用这种密集的临时阵列来评估站分布要求,以通过系统地从可用站中除去数据来应用双差异技术,从而模拟稀疏网络。使用Trail Mountain DataSet获得的Insight用于开发用于评估高级网络的有用性的度量,并开发用于扩展地震网络覆盖的工具。为了验证更广泛应用的这些工具的适当性,我们将从位于美国西部的两个额外矿山检查数据。改善采矿诱导的地震事件的相对位置突出了这些事件与矿井有源部分的关联。矿山运营商可以使用群集,静态区域和事件的相对时机来评估危险,优化生产和评估矿山计划的表现。从本研究中学到的经验教训可以在未来的网络设计中使用,以提高其他地雷的事件位置的准确性。

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