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A comparison between the behavior of objective functions for waveform inversion in the frequency and Laplace domains

机译:频域和拉普拉斯域中用于波形求逆的目标函数的行为比较

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In the frequency domain, gradient-based local-optimization methods of waveform inversions have been unsuccessful at inverting subsurface parameters without an accurate starting model. Such methods could not correct automatically for poor starting models because multiple local minima made it difficult to approach the true global minimum. In this Study, we compared the behavior of objective functions in the frequency and Laplace domains. Wavefields in the Laplace domain correspond to the zero-frequency component of a clamped wavefield; thus, the Laplace-domain waveform inversion can image smooth velocity models. Objective functions in the Laplace-domain inversion have a smoother surface and fewer local minima than in the frequency-domain inversion. We applied the waveform inversion to a 2D slice of the acoustic SEG/EAGE salt model in the Laplace domain and recovered smooth velocity models from inaccurate initial velocity conditions. We also Successfully imaged velocities of the salt, SEG overthrust, and Institut Francais du Petrole Marmousi models with the frequency-domain inversion method by using the inverted velocity model of the Laplace-domain inversion as the initial model.
机译:在频域中,基于波形的反演基于梯度的局部优化方法在没有准确的起始模型的情况下对地下参数进行反演是不成功的。此类方法无法针对不良的初始模型进行自动校正,因为多个局部最小值使得难以逼近真正的全局最小值。在这项研究中,我们比较了频域和拉普拉斯域中目标函数的行为。拉普拉斯域中的波场对应于钳位波场的零频率分量;因此,拉普拉斯域波形反演可以成像平滑速度模型。与频域反演相比,拉普拉斯域反演中的目标函数具有更平滑的表面和更少的局部最小值。我们将波形反演应用于Laplace域中声学SEG / EAGE盐模型的二维切片,并从不准确的初始速度条件恢复了平滑速度模型。我们还通过使用频域反演方法将拉普拉斯域反演的反演速度模型作为初始模型,成功地成像了盐,SEG上推力和法兰西杜彼得·马尔莫西研究所的速度。

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