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Vladimir Kazei
Vladimir Kazei
Verified email at kaust.edu.sa - Homepage
Title
Cited by
Cited by
Year
Deep learning for low-frequency extrapolation from multioffset seismic data
O Ovcharenko, V Kazei, M Kalita, D Peter, T Alkhalifah
Geophysics 84 (6), R989-R1001, 2019
932019
Regularized full-waveform inversion with automated salt flooding
M Kalita, V Kazei, Y Choi, T Alkhalifah
Geophysics 84 (4), R569-R582, 2019
352019
Waveform inversion for orthorhombic anisotropy with P waves: feasibility and resolution
V Kazei, T Alkhalifah
Geophysical Journal International 213 (2), 963-982, 2018
332018
On the role of reflections, refractions and diving waves in full‐waveform inversion
V Kazei, V Troyan, B Kashtan, W Mulder
Geophysical Prospecting 61 (6), 1252-1263, 2013
332013
Low-frequency data extrapolation using a feed-forward ANN
O Ovcharenko, V Kazei, D Peter, X Zhang, T Alkhalifah
80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018
302018
Scattering angle-based filtering via extension in velocity
V Kazei, E Tessmer, T Alkhalifah
SEG Technical Program Expanded Abstracts 2016, 1157-1162, 2016
282016
Scattering radiation pattern atlas: What anisotropic elastic properties can body waves resolve?
V Kazei, T Alkhalifah
Journal of Geophysical Research: Solid Earth 124 (3), 2781-2811, 2019
272019
Mapping full seismic waveforms to vertical velocity profiles by deep learning
V Kazei, O Ovcharenko, P Plotnitskii, D Peter, X Zhang, T Alkhalifah
Geophysics, R711-R721, 2021
262021
Mapping seismic data cubes to vertical velocity profiles by deep learning: New full-waveform inversion paradigm?
V Kazei, O Ovcharenko, P Plotnitskii, D Peter, X Zhang, TA Alkhalifah
submitted to Geophysics, 2019
26*2019
Salt-body inversion with minimum gradient support and Sobolev space norm regularizations
V Kazei, M Kalita, T Alkhalifah
79th EAGE Conference and Exhibition 2017, 2017
222017
Neural network based low-frequency data extrapolation
O Ovcharenko, V Kazei, D Peter, T Alkhalifah
3rd SEG FWI workshop: What are we getting, 2017
202017
Extraction of the tomography mode with nonstationary smoothing for full-waveform inversion
G Yao, NV da Silva, V Kazei, D Wu, C Yang
Geophysics 84 (4), R527-R537, 2019
182019
Style transfer for generation of realistically textured subsurface models
O Ovcharenko, V Kazei, D Peter, T Alkhalifah
SEG International Exposition and Annual Meeting, 2019
172019
Realistically Textured Random Velocity Models for Deep Learning Applications
V Kazei, O Ovcharenko, T Alkhalifah, F Simons
81st EAGE Conference and Exhibition 2019, 2019
172019
Variance-based model interpolation for improved full-waveform inversion in the presence of salt bodies
O Ovcharenko, V Kazei, D Peter, T Alkhalifah
Geophysics 83 (5), R541-R551, 2018
172018
Deep learning for low-frequency extrapolation from multioffset seismic data: Geophysics, 84
O Ovcharenko, V Kazei, M Kalita, D Peter, T Alkhalifah
R989–R1001, 2019
142019
Extrapolating low-frequency prestack land data with deep learning
O Ovcharenko, V Kazei, P Plotnitskiy, D Peter, I Silvestrov, A Bakulin, ...
SEG Technical Program Expanded Abstracts 2020, 1546-1550, 2020
112020
Deep learning tomography by mapping full seismic waveforms to vertical velocity profiles
V Kazei, O Ovcharenko, P Plotnitskii, D Peter, X Zhang, T Alkhalifah
EAGE 2020 Annual Conference & Exhibition Online 2020 (1), 1-5, 2020
102020
Velocity model building by deep learning: From general synthetics to field data application
V Kazei, O Ovcharenko, T Alkhalifah
SEG Technical Program Expanded Abstracts 2020, 1561-1565, 2020
102020
Transfer Learning For Low Frequency Extrapolation From Shot Gathers For FWI Applications
O Ovcharenko, V Kazei, D Peter, T Alkhalifah
81st EAGE Conference and Exhibition 2019, 2019
92019
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Articles 1–20