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Laplace-Fourier waveform inversion for coupled media using staggered grid modeling

机译:使用交错网格建模的耦合介质的Laplace-Fourier波形反演

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The Laplace-Fourier waveform inversion is one of the most efficient techniques used to estimate certain properties of the earth. However, factorizing the global matrix that represents the wave modeling operator for the acoustic-elastic coupled media is still computationally intensive for practical application. To solve this problem, we applied the time-domain staggered grid modeling to the Laplace-Fourier waveform inversion. The staggered grid modeling using the first-order elastic wave equation enabled us to perform forward and backward modeling in acoustic-elastic coupled media without combining the acoustic and elastic wave equations. In addition, the time-domain modeling algorithm critically reduces the large memory space required for waveform modeling and inversion. The validity of the proposed algorithm is demonstrated using a real marine dataset from the Gulf of Mexico.
机译:拉普拉斯傅里叶波形反演是最有效的技术之一,用于估算地球的某些性质。然而,对表示声波建模操作员的全局矩阵进行分解用于声学 - 弹性耦合介质的波形建模操作员仍然在计算上进行实际应用的密集。为了解决这个问题,我们将时域交错的网格建模应用于拉普拉斯傅里叶波形反演。使用一阶弹性波方程的交错电网建模使我们能够在声学弹性耦合介质中执行前向和向后建模,而不组合声波和弹性波动波动方程。此外,时域建模算法批判性地减少了波形建模和反转所需的大存储空间。使用来自墨西哥湾的真正的海洋数据集来证明所提出的算法的有效性。

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