Exploring Physical Links between Fluid Injection and Nearby Earthquakes: The 2012 Mw 4.8 Timpson, Texas, Case Study
Exploring Physical Links between Fluid Injection and Nearby Earthquakes: The 2012 Mw 4.8 Timpson, Texas, Case Study
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探索流体注入与附近地震之间的物理联系：2012 年 Mw 4.8 德克萨斯州廷普森案例研究
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发表时间：
2020
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通讯作者：
B. Duan
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作者：
Dawid Szafranski;B. Duan
在这项工作中，我们集成了三维变形多孔介质的流体流动模型与三维非均匀地质介质中的地震动态破裂模型。该方法使我们能够超越故障故障的潜在分析，并检查有多大的地震可以，如果一个故障的一部分达到失败，由于流体注入。我们将该方法应用于2012年5月17日德克萨斯州廷普森MW 4.8地震作为案例研究。模拟扰动的孔隙压力和应力从废水注入的时候，主震是足够高的（几个MPa），触发地震。动态破裂模型可以重现从Mw 4.8事件的主要观测，包括其规模，震源机制和余震序列，从而建立一个更令人信服的物理之间的联系流体注入和Mw 4.8地震。此外，参数空间研究的动态破裂模拟允许我们放置一些约束的断层摩擦性质和背景应力。对于廷普森地震，我们发现廷普森地震断层的动摩擦系数为10.3，滑动弱化摩擦定律中的临界滑动距离为10.1 m，有效正应力为均匀。通过再现主震余震序列的主要特征，我们还表明，该方法有可能成为未来流体注入设计的预测工具。
In this work, we integrate a fluid-flow model of 3D deformable porous media with a dynamic rupture model of earthquakes in 3D heterogeneous geologic medium. The method allows us to go beyond fault failure potential analyses and to examine how big an earthquake can be if part of a fault reaches failure due to fluid injection. We apply the method to the 17 May 2012 Mw 4.8 Timpson, Texas, earthquake as a case study. The simulated perturbations of pore pressure and stress from wastewater injection at the time of the mainshock are high enough (several MPa) to trigger an earthquake. Dynamic rupture modeling could reproduce the major observations from the Mw 4.8 event, including its size, focal mechanism, and aftershock sequence, and thus building a more convincing physical link between fluid injection and the Mw 4.8 earthquake. Furthermore, parameter space studies of dynamic rupture modeling allow us to place some constraints on fault frictional properties and background stresses. For the Timpson case, we find that a dynamic friction coefficient of ∼0.3, a value of ∼0.1 m for the critical slip distance in the slip-weakening friction law, and uniform effective normal stress are associated with the Timpson earthquake fault. By reproducing main features of the aftershock sequence of the mainshock, we also demonstrate that the method has potential to become a predictive tool for fluid injection design in the future.