Seismic Data Deconvolution
Seismic Data Deconvolution is a signal processing technique in seismic data processing that enhances temporal resolution by removing the effects of the seismic wavelet from recorded reflections, thereby estimating the Earth's reflectivity series through inverse filtering under statistical or deterministic assumptions.
216
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10K
Citations
461
Authors
222
Institutions
Publications per year
2017–2026
33
216
Least-squares inverse filtering and wavelet deconvolution
A. J. Berkhout · Geophysics · 1977 · 253 citations
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222

Delft University of Technology
Delft, The Netherlands
13 h-index
52 publications
3.7K citations

University of British Columbia
Vancouver, Canada
11 h-index
22 publications
1.8K citations
Stanford University
Stanford, United States
8 h-index
8 publications
571 citations
ExxonMobil (United States)
Irving, United States
7 h-index
10 publications
310 citations

Colorado School of Mines
Golden, United States
6 h-index
7 publications
664 citations

University of Alberta
Edmonton, Canada
5 h-index
9 publications
401 citations
Technion – Israel Institute of Technology
Haifa, Israel
5 h-index
9 publications
198 citations
Indian Institute of Technology Delhi
New Delhi, India
5 h-index
6 publications
109 citations
1–8 of 222
59 publications · 3.2K citations
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20 publications · 712 citations
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14 publications · 530 citations
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GJI · 13 publications · 1.2K citations
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7 publications · 202 citations
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