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A comparison of methods to estimate seismic phase delays: numerical examples for coda wave interferometry

机译:估计地震相位延迟的方法比较:尾波干涉测量的数值例子

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摘要

Time-shift estimation between arrivals in two seismic traces before and after a velocity perturbation is a crucial step in many seismic methods. The accuracy of the estimated velocity perturbation location and amplitude depend on this time shift. Windowed cross-correlation and trace stretching are two techniques commonly used to estimate local time shifts in seismic signals. In the work presented here we implement Dynamic Time Warping (DTW) to estimate the warping function – a vector of local time shifts that globally minimizes the misfit between two seismic traces. We compare all three methods using acoustic numerical experiments. We show that DTW is comparable to or better than the other two methods when the velocity perturbation is homogeneous and the signal-to-noise ratio is high. When the signal-to-noise ratio is low, we find that DTW and windowed cross-correlation are more accurate than the stretching method. Finally, we show that the DTW algorithm has good time resolution when identifying small differences in the seismic traces for a model with an isolated velocity perturbation. These results impact current methods that utilize not only time shifts between (multiply) scattered waves, but also amplitude and decoherence measurements.
机译:在许多地震方法中,速度扰动前后两个地震迹线到达之间的时移估计是至关重要的一步。估计的速度扰动位置和幅度的精度取决于此时移。窗口互相关和迹线拉伸是通常用于估计地震信号中局部时移的两种技术。在本文介绍的工作中,我们实现了动态时间翘曲(DTW)来估计翘曲函数–一种局部时移的矢量,可以全局地使两条地震迹线之间的失配最小化。我们使用声学数值实验比较了这三种方法。我们表明,当速度扰动是均匀的并且信噪比很高时,DTW可以与其他两种方法相比或更好。当信噪比低时,我们发现DTW和开窗互相关比拉伸方法更准确。最后,我们表明,对于具有独立速度扰动的模型,在识别地震道中的细微差异时,DTW算法具有良好的时间分辨率。这些结果影响了当前的方法,这些方法不仅利用(乘)散射波之间的时移,而且利用幅度和退相干测量。

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