| Deep learning for low-frequency extrapolation from multi-offset seismic data O Ovcharenko, V Kazei, M Kalita, D Peter, TA Alkhalifah GEOPHYSICS 84 (6), R1001-R1013, 2019 | 163 | 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 86 (5), R711-R721, 2021 | 84 | 2021 |
| MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning T Alkhalifah, H Wang, O Ovcharenko Artificial Intelligence in Geosciences 3, 101-114, 2022 | 58 | 2022 |
| 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 | 40 | 2018 |
| A robust neural network-based approach for microseismic event detection J Akram, O Ovcharenko, D Peter SEG International Exposition and Annual Meeting, SEG-2017-17761195, 2017 | 40 | 2017 |
| 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 | 31 | 2022 |
| 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 | 29* | 2018 |
| 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 |
| 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 |
| 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 | 21 | 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 | 20 | 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 (1), 1-5, 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 (1), 1-5, 2019 | 18 | 2019 |
| Deep learning for seismic data reconstruction: opportunities and challenges O Ovcharenko, S Hou First EAGE digitalization conference and exhibition 2020 (1), 1-5, 2020 | 13 | 2020 |
| 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 | 12 | 2020 |
| Feasibility of moment tensor inversion from a single borehole data using Artificial Neural Networks O Ovcharenko, J Akram, D Peter GEO Bahrain 2018 42212, 2018 | 11 | 2018 |
| Elastic near-surface model estimation from full waveforms by deep learning V Kazei, O Ovcharenko, P Plotnitskii, D Peter, I Silvestrov, A Bakulin, ... SEG International Exposition and Annual Meeting, D051S118R006, 2020 | 8 | 2020 |
| Mapping full seismic waveforms to vertical velocity profiles by deep learning V Kazei, O Ovcharenko, P Plotnitskii, D Peter, X Zhang, TA Alkhalifah submitted to Geophysics, 2019 | 8 | 2019 |
| Velocity model building by deep learning: From general synthetics to field data application: 90th Annual International Meeting, SEG, Expanded Abstracts, 1561–1565, doi: 10.1190 … V Kazei, O Ovcharenko, T Alkhalifah Abstract, 2020 | 7 | 2020 |
| A robust neural network-based approach for microseismic event detection: 87th Annual International Meeting, SEG, Expanded Abstracts, 2929–2933 J Akram, O Ovcharenko, D Peter Abstract, 2017 | 7 | 2017 |
Tariq ALKHALIFAHProfessor of Geophysics, KAUST在 kaust.edu.sa 的电子邮件经过验证
