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Paul Goyes-Peñafiel, Edwin Vargas, Claudia V. Correa, William Agudelo, Brendt Wohlberg and Henry Arguello, "A Consensus Equilibrium Approach for 3-D Land Seismic Shots Recovery", IEEE Geoscience and Remote Sensing Letters, vol. 19, doi:10.1109/LGRS.2021.3082421, Jun 2021


Physical and budget constraints often result in inadequate sampling for accurate subsurface imaging. Preprocessing approaches, such as missing trace interpolation, are typically employed to enhance seismic data in such cases. The compressed sensing (CS) framework has been applied for modeling missing seismic data, which is estimated by sparsity-based computational algorithms. While existing work mainly focuses on recovering missing traces resulting from receiver subsampling, source subsampling has greater economical advantages, as sources are more expensive than receivers. Moreover, stronger image models different from sparsity have not been explored for source recovery. This work presents a consensus equilibrium (CE) approach to recover missing seismic shots, which enables to incorporate various regularization operators modeling different data priors. Simulation results from a real 3-D land seismic dataset demonstrate that the CE approach provides more accurate estimations of the linear and hyperbolic events in the recovered shots, compared with pure sparsity-based reconstructions.

BibTeX Entry

author = {Paul Goyes-Pe\~{n}afiel and Edwin Vargas and Claudia V. Correa and William Agudelo and Brendt Wohlberg and Henry Arguello},
title = {A Consensus Equilibrium Approach for 3-D Land Seismic Shots Recovery},
year = {2021},
month = Jun,
urlpdf = {},
journal = {IEEE Geoscience and Remote Sensing Letters},
volume = {19},
doi = {10.1109/LGRS.2021.3082421}