摘要

The multi-source encoding technology can improve the calculation efficiency of the full waveform inversion, but the crosstalks caused by the source aliasing can reduce the quality of inversion results. The total variation (TV) constraint can suppress the noise within the layer and sharp the model interfaces. The combination of TV constraint and multi-source technology can not only greatly improve the calculation efficiency of the elastic full waveform inversion, but also ensure the inversion quality. In this paper, an efficient dynamic multi-source full waveform inversion strategy is proposed, which can disperse the crosstalks while ensuring uniform illumination. Then, we analyze the characteristics of the crosstalks, and establish the corresponding TV constraint elastic full waveform inversion method. To avoid cycle-skipping, we apply the low frequency reconstruction method based on the sparse constraint to elastic seismic data, and propose a new elastic multiscale inversion strategy. We also give the workflow for solving the anisotropic TV constraint full waveform inversion problem by the fast gradient projecting algorithm. The numerical tests show that our method can not only suppress the crosstalks caused by source aliasing, but also reduce the effect of the noise in observations on the final inversion results.

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