Elastic Full Waveform Inversion Based on Full-Band Seismic Data Reconstructed by Dual Deconvolution

Affected by the low-frequency seismic data missing and multiple parameters coupling, elastic full waveform inversion (EFWI) is easy to fall into local minima. This letter attempts to solve the local minima problem from two aspects: low-frequency seismic data reconstruction and wave mode decomposition. First, by introducing the envelope into sparse-constrained deconvolution (SCD), an envelope-based SCD (E-SCD) method is proposed to overcome the problem caused by the phase shift and side lobes. However, the resolution of the envelope is insufficient to identify overlapping seismic events, which are generated by velocity models rich in thin layers. Therefore, SCD and E-SCD are combined, and a dual deconvolution (D-D) method is proposed: SCD is used to improve the resolution of the original seismic data, and then, E-SCD is used to reconstruct high-precision reflection sequence. Convolve the reconstructed reflection sequence with the full-band source wavelet to obtain the full-band seismic data. Second, for the multiparameter coupling problem, we use wave mode decomposition to obtain separated P- and S-waves. Finally, a multiscale EFWI method based on D-D and wave mode decomposition is proposed. Numerical experiment results demonstrate the algorithm proposed in this letter.

Automated summary

This letter proposes solutions to the problem of local minima in elastic full waveform inversion (EFWI) from two aspects: low-frequency seismic data reconstruction and wave mode decomposition. The proposed methods, including envelope-based sparse-constrained deconvolution (E-SCD), dual deconvolution (D-D), and wave mode decomposition, effectively improve the resolution and accuracy of seismic data in the inversion process. Numerical experiments demonstrate the effectiveness of the proposed algorithm.