| 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 | 153 | 2019 |
| 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 | 74 | 2021 |
| Regularized full-waveform inversion with automated salt flooding M Kalita, V Kazei, Y Choi, T Alkhalifah Geophysics 84 (4), R569-R582, 2019 | 59 | 2019 |
| 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 | 38 | 2019 |
| 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 | 38 | 2018 |
| Waveform inversion for orthorhombic anisotropy with P waves: feasibility and resolution V Kazei, T Alkhalifah Geophysical Journal International 213 (2), 963-982, 2018 | 37 | 2018 |
| 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 | 37 | 2013 |
| Scattering angle-based filtering via extension in velocity V Kazei, E Tessmer, T Alkhalifah SEG Technical Program Expanded Abstracts 2016, 1157-1162, 2016 | 29 | 2016 |
| Multi-task learning for low-frequency extrapolation and elastic model building from seismic data O Ovcharenko, V Kazei, TA Alkhalifah, DB Peter IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 26 | 2022 |
| 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 | 26 | 2017 |
| Neural network based low-frequency data extrapolation O Ovcharenko, V Kazei, D Peter, T Alkhalifah 3rd SEG FWI workshop: What are we getting, 2017 | 26 | 2017 |
| 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 | 24 | 2018 |
| 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 | 23 | 2020 |
| 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 | 22 | 2019 |
| Extrapolating low-frequency prestack land data with deep learning O Ovcharenko, V Kazei, P Plotnitskiy, D Peter, I Silvestrov, A Bakulin, ... SEG International Exposition and Annual Meeting, D031S057R007, 2020 | 20 | 2020 |
| Style transfer for generation of realistically textured subsurface models O Ovcharenko, V Kazei, D Peter, T Alkhalifah SEG International Exposition and Annual Meeting, D043S103R004, 2019 | 19 | 2019 |
| 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 | 18 | 2019 |
| Realistically Textured Random Velocity Models for Deep Learning Applications V Kazei, O Ovcharenko, T Alkhalifah, F Simons 81st EAGE Conference and Exhibition 2019, 2019 | 18 | 2019 |
| 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 | 17 | 2019 |
| Quantification of DAS VSP quality: SNR vs. log-based metrics A Titov, V Kazei, A AlDawood, E Alfataierge, A Bakulin, K Osypov Sensors 22 (3), 1027, 2022 | 16 | 2022 |
Tariq ALKHALIFAHProfessor of Geophysics, KAUSTVerified email at kaust.edu.sa
