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Indications for different types of brittle failure due to active coal mining using waveform similarities of induced seismic events

机译:使用诱发地震事件的波形相似性来指示因活跃采煤而导致的不同类型的脆性破坏

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摘要

Longwall mining activity in the Ruhr coal mining district leads tomining-induced seismicity. For detailed studies the seismicity of a singlelongwall panel beneath the town of Hamm-Herringen in the eastern Ruhr areawas monitored between June 2006 and July 2007 with a dense temporary networkof 15 seismic stations. More than 7000 seismic events with magnitudes between–1.7 ≤ ML ≤ 2.0 were detected and localized in this period.Most of the events occurred in the vicinity of the moving longwall face.In order to find possible differences in the brittle failure types of theseevents an association of the events to distinct clusters is performed basedon their waveform characteristics. This task is carried out using a newclustering algorithm utilizing a network similarity matrix which is createdby combining all available 3-component single station similarity matrices.The resultant network matrix is then sorted with respect to the similarity ofits rows leading to a sorted matrix immediately indicating the clustering ofthe event catalogue. Finally, clusters of similar events are extracted byvisual inspection.This approach results in the identification of several large clusters whichare distinct with respect to their spatial and temporal characteristics aswell as their frequency magnitude distributions. Comparable clusters are alsofound with a conventional single linkage approach, however, the new routineseems to be able to associate more events to specific clusters withoutmerging the clusters.The nine largest observed clusters can be tentatively divided into threedifferent groups that indicate different types of brittle failure. The firstgroup consists of the two largest clusters which constitute more than half ofall recorded events. Results of a relative relocation using cross-correlationdata suggest that these events are confined to the extent of the mined outlongwall and cluster close to the edges of the active longwall at the depthof active mining. These events occur in lockstep with the longwall advanceand exhibit a high b value of the Gutenberg–Richter relation (GR) of about1.5 to 2.5 and consist of small magnitude events. Thus, these eventsrepresent the immediate energy release adjacent to the mined out area.The second group consists of clusters located either slightly above or belowthe depth of active mining and occurring at the current position of thelongwall face within the confines of the longwall. They consist of generallystronger events and do not follow GR. This activity might be linked to thefailure of more competent layers above and below the mined out seam resultingin larger magnitude events.Finally, one cluster represents seismic activity with a rather low b valuebelow 1 and events located partly towards the north of the longwall whichare delayed with respect to the advance of the longwall face. These eventsare interpreted as brittle failure on pre-existing tectonic structuresreactivated by the mining activity.
机译:鲁尔(Ruhr)煤矿区的长壁开采活动导致开采引起的地震活动。为了进行详细研究,在2006年6月至2007年7月之间,通过密集的由15个地震台站组成的临时网络,对鲁尔河东部地区Hamm-Herringen镇下方的一块长壁板的地震活动进行了监测。在此期间,发现并定位了7000多个地震事件,震级在–1.7≤ M L ≤2.0之间。大部分地震事件发生在活动的长壁面附近。 。 为了找到这些事件的脆性破坏类型的可能差异,基于事件的波形特征将事件与不同的簇关联。此任务是使用新的聚类算法来完成的,该算法使用了网络相似性矩阵,该矩阵是通过组合所有可用的三分量单站相似性矩阵而创建的,然后根据行的相似性对所得的网络矩阵进行排序,从而导致排序后的矩阵立即表明事件目录的聚类。最后,通过视觉检查提取相似事件的簇。 此方法可识别出几个大型簇,这些簇的时空特征以及频率幅值分布各不相同。可比较的集群也可以通过常规的单链接方法找到,但是,新的例程似乎能够将更多事件与特定的集群相关联而不会合并集群。 可以将观察到的最大的九个集群初步分为三个不同的组不同类型的脆性破坏。第一组由两个最大的簇组成,构成所有记录事件的一半以上。使用互相关数据进行相对重定位的结果表明,这些事件被限制在已开采的外壁和聚集在活动开采深度处的活动长壁边缘附近的范围内。这些事件随着长壁的推进而同步发生,并表现出古登堡-里希特关系(GR)的高值,约为1.5至2.5,并且由小规模的事件组成。因此,这些事件代表了邻近采空区的立即能量释放。 第二组由位于活动开采深度的稍稍上方或下方并发生在长壁工作面当前位置范围内的星团组成。长壁。它们由一般较强的事件组成,不遵循GR。这项活动可能与开采出的煤层上方和下方的更多有效层的破坏有关,从而导致更大的地震事件。 最后,一个聚类代表地震活动,其 b 值低于1以及部分位于长壁北侧的事件相对于长壁面的前进而有所延迟。这些事件被解释为因开采活动而重新激活的既有构造构造上的脆性破坏。

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