Seismic Data Regularization
Seismic Data Regularization is a computational method in seismic data processing that transforms irregularly sampled seismic traces into a regularly sampled grid by interpolating missing data points while preserving the underlying wavefield characteristics.
127
Publications
7.4K
Citations
303
Authors
130
Institutions
Publications per year
2017–2026
37
Parents
127
Angle-domain common-image gathers by wavefield continuation methods
Paul Sava, Sergey Fomel · Geophysics · 2003 · 524 citations
Latest views of the sparse Radon transform
Daniel Trad, Tadeusz J. Ulrych, Mauricio D. Sacchi · Geophysics · 2003 · 411 citations
Minimum weighted norm interpolation of seismic records
Bin Liu, Mauricio D. Sacchi · Geophysics · 2004 · 404 citations
Antileakage Fourier transform for seismic data regularization
Sheng Xu, Yu Zhang, Don Pham et al. · Geophysics · 2005 · 347 citations
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130

China University of Petroleum, Beijing
Beijing, China
14 h-index
44 publications
3.1K citations

Bureau of Economic Analysis
Washington D.C., United States
12 h-index
20 publications
2.7K citations
The University of Texas at Austin
Austin, United States
11 h-index
16 publications
829 citations

University of Alberta
Edmonton, Canada
10 h-index
15 publications
1.8K citations

University of British Columbia
Vancouver, Canada
10 h-index
26 publications
2.3K citations
China University of Petroleum, East China
Qingdao, China
5 h-index
15 publications
630 citations

Harbin Institute of Technology
Harbin, China
4 h-index
6 publications
288 citations
Saudi Aramco (Saudi Arabia)
Dhahran, Saudi Arabia
4 h-index
12 publications
730 citations
1–8 of 130
41 publications · 4.3K citations
30
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9 publications · 441 citations
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GJI · 6 publications · 269 citations
6
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5 publications · 308 citations
5
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4 publications · 356 citations
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