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• W2327990502 abstract "Tomographic full waveform inversion (TFWI) provides a framework for inverting the seismic data, which is immune to cycle-skipping problems. This is achieved by extending the wave equation and adding a spatial or temporal axis to the velocity model. For computational efficiency, the inversion is performed in a nested scheme. However, TFWI requires a large number of iterations because of its slow convergence rate. We analyze the Born and tomographic operators and find two major sources of this slow convergence. First, kinematic artifacts in the extended model due to a biased AVA behavior in the acoustic two-way wave-equation. Second, early imposition of short wavelength updates in the velocity model that are difficult to move. We provide two modifications of the nested inversion scheme of TFWI that mitigate these sources of slow convergence. The first modification is preconditioning of the extended model to balance the AVA behavior of the acoustic wave-equation. The second modification is imposing wavelength continuation by filtering the gradient in the outer loop. We test the new algorithm on synthetic examples. The results of the modified algorithm on the BP model show a great improvement in convergence rate while maintaining the high accuracy of TFWI." @default.
• W2327990502 created "2016-06-24" @default.
• W2327990502 creator A5032525092 @default.
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• W2327990502 date "2014-08-05" @default.
• W2327990502 modified "2023-09-27" @default.
• W2327990502 title "Preconditioned tomographic full waveform inversion by wavelength continuation" @default.
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• W2327990502 doi "https://doi.org/10.1190/segam2014-1618.1" @default.
• W2327990502 hasPublicationYear "2014" @default.
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