Multiplet-Clustering Analysis Reveals Structural Details within the Seismic Cloud at the Soultz Geothermal Field, France
Multiplet-Clustering Analysis Reveals Structural Details within the Seismic Cloud at the Soultz Geothermal Field, France
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多重聚类分析揭示了法国苏尔茨地热田地震云内的结构细节
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
R. Baria
中科院分区：
文献类型：
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作者：
H. Moriya;H. Niitsuma;R. Baria
多重聚类分析是一种精确确定微地震事件位置的方法，用于识别地下裂缝和裂缝网络。多重波是一组波形非常相似的微地震事件，尽管起源时间不同，它可能是同一构造上应力释放的表现。利用移动窗互谱分析技术，可以高分辨率、高精度地确定相似地震的相对震源位置。推断的地震集群，称为多重峰集群，是地震激活结构的指示，这些结构的方向可以使用地震集群估计，即使多重峰集群的绝对位置本身不能确定。我们研究的方法，确定多重集群的相对位置，并介绍聚类分析的概念。聚类分析方法是通过检测相似叠加同相轴之间的相位差来估计多重峰群的相对位置。我们描述了多重聚类分析的过程，估计多重聚类的相对位置，并应用该方法从法国的Soultz干热岩场诱发微震数据。我们表明，裂缝网络可以划定通过多重聚类分析，而它是很难确定详细的结构的基础上估计的震源位置的联合震源测定方法。
2002年3月1日收到Mandarin pt。
Multiplet-clustering analysis is a method for precise determination of microseismic event locations and is used to identify subsurface fractures and fracture networks. A multiplet is a group of microseismic events with very similar waveforms, despite different origin times, and it is likely the expression of stress release on the same structure. The relative source locations of similar events can be determined with high resolution and accuracy by using the moving-window cross-spectrum analysis technique. Deduced seismic clusters, called multiplet clusters, are indicative of seismically activated structures, and the orientations of these structures can be estimated using the seismic clusters even though the absolute locations of the multiplet clusters cannot themselves be determined. We examine methods of determining the relative locations of multiplet clusters and introduce the concept of clustering analysis. The clustering analysis method is used to estimate the relative location of multiplet clusters by detecting phase differences between similar stacked events. We describe the procedure for multiplet-clustering analysis, estimate relative locations of multiplet clusters, and apply the method to induced microseismic data from the Soultz Hot Dry Rock field, France. We show that a fracture network can be delineated through multiplet-clustering analysis, whereas it is difficult to identify detailed structures on the basis of source locations estimated by the joint hypocenter determination method.
Manuscript received 1 March 2002.