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Trace interpolation for irregularly sampled seismic data using curvelet-transform-based projection onto convex sets algorithm in the frequency-wavenumber domain

Title
Trace interpolation for irregularly sampled seismic data using curvelet-transform-based projection onto convex sets algorithm in the frequency-wavenumber domain
Author
변중무
Keywords
Reconstruction; Interpolation; POCS; Curvelet transform; f-k domain
Issue Date
2015-07
Publisher
ELSEVIER SCIENCE BV
Citation
JOURNAL OF APPLIED GEOPHYSICS, v. 118, Page. 1-14
Abstract
In recent years, many studies have been performed to reconstruct traces missing from irregularly undersampled seismic data. In this paper, we introduce a new curvelet-transform-based projection onto convex sets (POCS) algorithm that applies the curvelet transform to 2D Fourier-transformed data in the f-k domain instead of data in the t-x domain for each iteration of the POCS algorithm. To verify the efficiency of the suggested method, it was applied to synthetic data generated using the Marmousi2 and Hess vertically transverse isotropy (VTI) models. The results clearly demonstrate that the presented algorithm, which applies the curvelet transform to data in the f-k domain, is superior to conventional POCS and curvelet-transform-based POCS in the t-x domain, especially for reconstructing events with diverse directions and various amplitudes. (C) 2015 Elsevier B.V. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S0926985115001342http://hdl.handle.net/20.500.11754/26571
ISSN
0926-9851; 1879-1859
DOI
10.1016/j.jappgeo.2015.04.007
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING(자원환경공학과) > Articles
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