Spatial-temporal evolution of injection-induced earthquakes in the Weiyuan Area determined by machine-learning phase picker and waveform cross-correlation

IF 2.9 3区 地球科学 Earth and Planetary Physics Pub Date : 2021-12-21 DOI:10.26464/epp2021055
Wing Ching Jeremy Wong, JinPing Zi, HongFeng Yang, JinRong Su
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引用次数: 9

Abstract

Anthropogenic induced seismicity has been widely reported and investigated in many regions, including the shale gas fields in the Sichuan basin, where the frequency of earthquakes has increased substantially since the commencement of fracking in late 2014. However, the details of how earthquakes are induced remain poorly understood, partly due to lack of high-resolution spatial-temporal data documenting the evolution of such seismic events. Most previous studies have been based on a diffusive earthquake catalog constructed by routine methods. Here, however, we have constructed a high resolution catalog using a machine learning detector and waveform cross-correlation. Despite limited data, this new approach has detected one-third more earthquakes and improves the magnitude completeness of the catalog, illuminating the comprehensive spatial-temporal migration of the emerging seismicity in the target area. One of the clusters clearly delineates a potential unmapped fault trace that may have led to the Mw 5.2 in September 2019, by far the largest earthquake recorded in the region. The migration of the seismicity also demonstrates a pore-pressure diffusion front, suggesting additional constraints on the inducing mechanism of the region. The patterns of the highly clustered seismicity reconcile the causal link between the emerging seismicity and the activity of hydraulic fracturing in the region, facilitating continued investigation of the mechanisms of seismic induction and their associated risks.

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基于机器学习相位拾取和波形互关的威远地区注入地震时空演化
在许多地区,包括四川盆地的页岩气田,已经广泛报道和调查了人为诱发的地震活动,自2014年底开始水力压裂以来,地震频率大幅增加。然而,地震是如何诱发的细节仍然知之甚少,部分原因是缺乏记录此类地震事件演变的高分辨率时空数据。以前的大多数研究都是基于常规方法构建的扩散地震目录。然而,在这里,我们使用机器学习检测器和波形互相关构建了一个高分辨率的目录。尽管数据有限,但这种新方法已检测到三分之一以上的地震,并提高了目录的震级完整性,阐明了目标地区新兴地震活动的综合时空迁移。其中一个集群清楚地描绘了一个潜在的未绘制的断层轨迹,可能导致了2019年9月的5.2级地震,这是该地区迄今为止记录的最大地震。地震活动性的迁移还表现为孔压扩散锋,这对该区域的诱发机制提出了额外的约束。高度聚集的地震活动模式调和了该地区新出现的地震活动与水力压裂活动之间的因果关系,促进了对地震诱发机制及其相关风险的持续调查。
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Earth and Planetary Physics
Earth and Planetary Physics GEOSCIENCES, MULTIDISCIPLINARY-
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17.20%
发文量
174
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