Enhanced irregular seismic interpolation using approximate shrinkage operator and fourier redundancy

Pengliang Yang; Jinghuai Gao

doi:10.1016/j.jappgeo.2015.02.007

Enhanced irregular seismic interpolation using approximate shrinkage operator and fourier redundancy

Pengliang Yang^*
, Jinghuai Gao

^*Corresponding author for this work

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

In this paper, we propose an approximate shrinkage operator in the iterative shrinkage-thresholding (IST) algorithm to interpolate the nonuniformly sampled seismic traces. The key to designing the approximate shrinkage operator is the use of Taylor series. The redundant Fourier transform is employed to enhance the reconstruction performance, inspired by the theory of spectral compressive sensing. Numerical experiments using 3D real data and 5D synthetic data demonstrate the superiority of the proposed method.

Original language	English
Pages (from-to)	43-50
Number of pages	8
Journal	Journal of Applied Geophysics
Volume	116
DOIs	https://doi.org/10.1016/j.jappgeo.2015.02.007
State	Published - 1 May 2015
Externally published	Yes

Keywords

Iterative shrinkage-thresholding (IST)
Redundant transform
Seismic trace interpolation
Sparsity
Taylor series

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10.1016/j.jappgeo.2015.02.007

Cite this

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title = "Enhanced irregular seismic interpolation using approximate shrinkage operator and fourier redundancy",

abstract = "In this paper, we propose an approximate shrinkage operator in the iterative shrinkage-thresholding (IST) algorithm to interpolate the nonuniformly sampled seismic traces. The key to designing the approximate shrinkage operator is the use of Taylor series. The redundant Fourier transform is employed to enhance the reconstruction performance, inspired by the theory of spectral compressive sensing. Numerical experiments using 3D real data and 5D synthetic data demonstrate the superiority of the proposed method.",

keywords = "Iterative shrinkage-thresholding (IST), Redundant transform, Seismic trace interpolation, Sparsity, Taylor series",

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AU - Gao, Jinghuai

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N2 - In this paper, we propose an approximate shrinkage operator in the iterative shrinkage-thresholding (IST) algorithm to interpolate the nonuniformly sampled seismic traces. The key to designing the approximate shrinkage operator is the use of Taylor series. The redundant Fourier transform is employed to enhance the reconstruction performance, inspired by the theory of spectral compressive sensing. Numerical experiments using 3D real data and 5D synthetic data demonstrate the superiority of the proposed method.

AB - In this paper, we propose an approximate shrinkage operator in the iterative shrinkage-thresholding (IST) algorithm to interpolate the nonuniformly sampled seismic traces. The key to designing the approximate shrinkage operator is the use of Taylor series. The redundant Fourier transform is employed to enhance the reconstruction performance, inspired by the theory of spectral compressive sensing. Numerical experiments using 3D real data and 5D synthetic data demonstrate the superiority of the proposed method.

KW - Iterative shrinkage-thresholding (IST)

KW - Redundant transform

KW - Seismic trace interpolation

KW - Sparsity

KW - Taylor series

UR - https://www.scopus.com/pages/publications/84923860463

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DO - 10.1016/j.jappgeo.2015.02.007

M3 - 文章

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SN - 0926-9851

VL - 116

SP - 43

EP - 50

JO - Journal of Applied Geophysics

JF - Journal of Applied Geophysics

ER -

Enhanced irregular seismic interpolation using approximate shrinkage operator and fourier redundancy

Abstract

Keywords

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