Reconstruction of seismic data based on SFISTA and curvelet transform

In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome the limitations of irregularly sampled seismic data, this paper proposes a seismic data interpolation method combining the smoothing fast iterative soft threshold algorithm (SFISTA) an...

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Main Authors: Lin Tian, Si Qin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1103522/full
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author Lin Tian
Lin Tian
Si Qin
author_facet Lin Tian
Lin Tian
Si Qin
author_sort Lin Tian
collection DOAJ
description In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome the limitations of irregularly sampled seismic data, this paper proposes a seismic data interpolation method combining the smoothing fast iterative soft threshold algorithm (SFISTA) and the curvelet transform; this method uses the curvelet domain as the sparse domain. For comparison, the contourlet transform is used for different sparse domains, and the fast iterative shrinkage-thresholding algorithm (FISTA) is used for different optimization algorithms. Numerical modeling and real data show that the SFISTA method in the curvelet domain can give better reconstruction effects and higher reconstruction accuracy than those in the contourlet domain with the FISTA method; in addition, the SFISTA method in the curvelet domain can be used to reconstruct the missing traces of three-dimensional seismic data.
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spelling doaj.art-2de5e52daecb44dcb32a73f6e5a254d32023-03-10T10:47:05ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-02-011110.3389/feart.2023.11035221103522Reconstruction of seismic data based on SFISTA and curvelet transformLin Tian0Lin Tian1Si Qin2School of Electronic Engineering, Yili Normal University, Yining, ChinaKey Laboratory of Signal Detection and Control Technology, Yili Normal University, Yining, ChinaSchool of Electronic Engineering, Yili Normal University, Yining, ChinaIn seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome the limitations of irregularly sampled seismic data, this paper proposes a seismic data interpolation method combining the smoothing fast iterative soft threshold algorithm (SFISTA) and the curvelet transform; this method uses the curvelet domain as the sparse domain. For comparison, the contourlet transform is used for different sparse domains, and the fast iterative shrinkage-thresholding algorithm (FISTA) is used for different optimization algorithms. Numerical modeling and real data show that the SFISTA method in the curvelet domain can give better reconstruction effects and higher reconstruction accuracy than those in the contourlet domain with the FISTA method; in addition, the SFISTA method in the curvelet domain can be used to reconstruct the missing traces of three-dimensional seismic data.https://www.frontiersin.org/articles/10.3389/feart.2023.1103522/fullseismic data reconstructionsparse constraintcurvelet transformcontourlet transformSFISTA
spellingShingle Lin Tian
Lin Tian
Si Qin
Reconstruction of seismic data based on SFISTA and curvelet transform
Frontiers in Earth Science
seismic data reconstruction
sparse constraint
curvelet transform
contourlet transform
SFISTA
title Reconstruction of seismic data based on SFISTA and curvelet transform
title_full Reconstruction of seismic data based on SFISTA and curvelet transform
title_fullStr Reconstruction of seismic data based on SFISTA and curvelet transform
title_full_unstemmed Reconstruction of seismic data based on SFISTA and curvelet transform
title_short Reconstruction of seismic data based on SFISTA and curvelet transform
title_sort reconstruction of seismic data based on sfista and curvelet transform
topic seismic data reconstruction
sparse constraint
curvelet transform
contourlet transform
SFISTA
url https://www.frontiersin.org/articles/10.3389/feart.2023.1103522/full
work_keys_str_mv AT lintian reconstructionofseismicdatabasedonsfistaandcurvelettransform
AT lintian reconstructionofseismicdatabasedonsfistaandcurvelettransform
AT siqin reconstructionofseismicdatabasedonsfistaandcurvelettransform