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Source-independent extended waveform inversion based on space-time source extension: Frequency-domain implementation

机译:基于时空源扩展的源无关扩展波形反转:频域实现

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摘要

Source signature estimation from seismic data is a crucial ingredient for successful application of seismic migration and full-waveform inversion (FWI). If the starting velocity deviates from the target velocity, FWI method with on-the-fly source estimation may fail due to the cycle-skipping problem. We have developed a source-based extended waveform inversion method, by introducing additional parameters in the source function, to solve the FWI problem without the source signature as a priori. Specifically, we allow the point source function to be dependent on spatial and time variables. In this way, we can easily construct an extended source function to fit the recorded data by solving a source matching subproblem; hence, it is less prone to cycle skipping. A novel source focusing annihilator, defined as the distance function from the real source position, is used for penalizing the defocused energy in the extended source function. A close data fit avoiding the cycle-skipping problem effectively makes the new method less likely to suffer from local minima, which does not require extreme low-frequency signals in the data. Numerical experiments confirm that our method can mitigate cycle skipping in FWI and is robust against random noise.
机译:来自地震数据的源签名估计是成功应用地震迁移和全波形反演(FWI)的重要成分。如果起始速度偏离目标速度,则由于循环跳过问题,带有导向源估计的FWI方法可能发生故障。我们开发了一种基于源的扩展波形反演方法,通过引入源函数中的附加参数,解决FWI问题而不源签名作为先验。具体地,我们允许点源函数依赖于空间和时间变量。通过这种方式,我们可以通过解决源匹配的子问题来轻松构建扩展源功能以适应录制的数据;因此,循环跳跃不太容易发生。一种新的源聚焦湮灭,定义为来自真实源位置的距离功能,用于惩罚扩展源功能中的离焦能量。避免循环跳过问题的近距离数据有效地使得新方法不太可能遭受局部最小值的可能性,这不需要数据中的极端低频信号。数值实验证实,我们的方法可以减轻FWI的循环跳过,并且对随机噪声具有稳健性。

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