Basement Fault Activation before Larger Earthquakes in Oklahoma and Kansas

Yongsook Park, G. Beroza, W. Ellsworth
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引用次数: 6

Abstract

Oklahoma and Kansas experienced unprecedented seismic activity over the past decade due to earthquakes associated with unconventional hydrocarbon development. The modest natural seismicity and incomplete knowledge of the fault network in the region made it difficult to anticipate the locations of earthquakes with larger magnitudes (Mw≥4). Here, we show that monitoring of microearthquakes at regional scale using a pretrained neural phase picker and an earthquake relocation algorithm can illuminate unknown fault structures, and deliver information that can be synthesized for earthquake forecasting. We found that 80% of the larger earthquakes that occurred in the past decade could have been anticipated based on the spatial extent of the seismicity clusters that were formed before these earthquakes occurred. We also found that once a seismicity cluster with a length scale enough to host a larger earthquake was formed, there was a ∼5% chance that it would host one or more larger earthquakes within a year. This probability is nearly an order of magnitude higher than one based on Gutenberg–Richter statistics and preceding seismicity. Applying our approach in practice can provide critical information on seismic hazards for risk management and regulatory decision making.
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俄克拉何马州和堪萨斯州大地震前的基底断层活动
在过去的十年里,由于非常规油气开发相关的地震,俄克拉荷马州和堪萨斯州经历了前所未有的地震活动。该地区的自然地震活动不大,对断层网的了解也不完全,因此难以预测较大震级(Mw≥4)的地震位置。本研究表明,利用预训练的神经相位选择器和地震定位算法在区域尺度上监测微地震,可以阐明未知的断层结构,并提供可用于地震预测的综合信息。我们发现,根据地震发生前形成的地震活动集群的空间范围,可以预测过去十年中发生的80%的大地震。我们还发现,一旦形成了一个长度尺度足以承载更大地震的地震活动集群,那么它在一年内发生一次或多次更大地震的可能性为~ 5%。这一概率几乎比根据古腾堡-里氏地震统计和以前的地震活动得出的概率高一个数量级。在实践中应用我们的方法可以为风险管理和监管决策提供有关地震灾害的关键信息。
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