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首页> 外文期刊>Bulletin of the Seismological Society of America >Seismic Magnitudes, Corner Frequencies, and Microseismicity: Using Ambient Noise to Correct for High-Frequency Attenuation
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Seismic Magnitudes, Corner Frequencies, and Microseismicity: Using Ambient Noise to Correct for High-Frequency Attenuation

机译:地震幅度,角频率和微震性:使用环境噪声来校正高频衰减

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摘要

Over recent years, a greater importance has been attached to low-magnitude events, with increasing use of the subsurface for industrial activities such as hydraulic fracturing and enhanced geothermal schemes. Magnitude distributions and earthquake source properties are critical inputs when managing the associated seismic risk of these activities, yet inconsistencies and discrepancies are commonly observed with microseismic activity (M<2). This, in part, is due to their impulse response being controlled by the medium, as opposed to the source. Here, an approach for estimating the high-frequency amplitude decay parameter from the spectral decay of ambient seismic noise (kappa(0_noise)) is developed. The estimate does not require a pre-existing seismic catalog and is independent of the source properties, so avoids some of the main limitations of earthquake-based methods. We then incorporate kappa(0_noise) into the Brune (1970) source model and calculate source properties and magnitude relationships for coal-mining-related microseismic events, recorded near New Ollerton, United Kingdom. This generates rupture radii ranging approximately between 10 and 100 m, which agrees with the findings of Verdon et al. (2018), and results in stress-drop values between 0.1 and 10 MPa. Calculating these properties without kappa(0_noise) produces much higher rupture radii of between 100 and 500 m and significantly lower stress drops (similar to 1x10(-2) MPa). Finally, we find that the combined kappa(0)-Brune model parameterized with these source property estimates accurately capture the M-L-M-w relationship at New Ollerton, and that stress drop heavily influences the gradient of this relationship.
机译:近年来,较低的重要事件越来越重要,越来越多地利用水力压裂和增强地热方案等产业活动的地下。在管理这些活动的相关地震风险时,幅度分布和地震源特性是关键输入,但常见的是微观症活动(m <2)通常观察到不一致和差异。部分是由于它们的脉冲响应由介质控制,而不是源。这里,开发了一种用于估计来自环境地震噪声的光谱衰减的高频幅度衰减参数(Kappa(0_noise))的方法。估计不需要预先存在的地震目录,并且与源属性无关,因此避免了基于地震的方法的一些主要限制。然后,我们将Kappa(0_Noise)纳入了文革(1970)的源模型,并计算与煤矿相关的微震事件的源特性和幅度关系,记录在新的Ollerton,英国附近。这产生了大约在10到100米之间的破裂半径,这与Verdon等人的研究结果同意。 (2018),导致应力降值0.1至10MPa。计算不含κ(0_noise)的这些性质在100至500μm之间产生更高的破裂半径,并显着降低应力下降(类似于1×10(-2)MPa)。最后,我们发现,使用这些源属性参数化的kappa(0) - 武器模型估计在新的Ollerton中准确地捕获M-L-M-W的关系,并且压力下降大量影响这种关系的梯度。

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