Follow
Oleg Ovcharenko
Oleg Ovcharenko
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
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 86 (5), R711-R721, 2021
742021
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
542022
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
412017
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
382018
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
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
262022
Neural network based low-frequency data extrapolation
O Ovcharenko, V Kazei, D Peter, T Alkhalifah
3rd SEG FWI workshop: What are we getting, 2017
262017
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
232020
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
202020
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
192019
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
182019
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
182019
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
122020
Deep learning for seismic data reconstruction: opportunities and challenges
O Ovcharenko, S Hou
First EAGE digitalization conference and exhibition 2020 (1), 1-5, 2020
102020
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
102018
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
82020
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
82019
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning: Artificial Intelligence in Geosciences
T Alkhalifah, H Wang, O Ovcharenko
72022
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
72020
The system can't perform the operation now. Try again later.
Articles 1–20