Paper Info
Title
Elastic Full Waveform Inversion Based on Full-Band Seismic Data Reconstructed by Dual Deconvolution
Abstract
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.
Year
DOI
Venue
2022
10.1109/LGRS.2022.3178915
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Keywords
DocType
Volume
Reflection, Deconvolution, Mathematical models, Couplings, Geoscience and remote sensing, Convolution, Approximation algorithms, Dual deconvolution (D-D), elastic full waveform inversion (EFWI), envelope-based sparse-constrained deconvolution, sparse-constrained deconvolution, wave mode decomposition
Journal
19
ISSN
Citations 
PageRank 
1545-598X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Guoxin Chen112.04
Wencai Yang202.03
Hanchuang Wang300.34
Zhou Huamin4206.19
Xingguo Huang505.07