| Plug and play post-stack seismic inversion with CNN-based denoisers J Romero, M Corrales, N Luiken, M Ravasi Second EAGE Subsurface Intelligence Workshop 2022 (1), 1-5, 2022 | 10 | 2022 |
| Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion M Izzatullah, T Alkhalifah, J Romero, M Corrales, N Luiken, M Ravasi arXiv preprint arXiv:2212.14595, 2022 | 6 | 2022 |
| Data-Driven, Direct Rock-Physics Inversion of Pre-Stack Seismic Data M Corrales, M Ravasi, H Hoteit 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | 5 | 2022 |
| Bayesian RockAVO: Direct petrophysical inversion with hierarchical conditional GANs M Corrales, M Izzatullah, M Ravasi, H Hoteit SEG/AAPG International Meeting for Applied Geoscience & Energy, 2022 | 4 | 2022 |
| Striking a balance: Seismic inversion with model-and data-driven priors M Ravasi, J Romero, M Corrales, N Luiken, C Birnie Developments in structural geology and tectonics 6, 153-200, 2024 | 3 | 2024 |
| The Potential for Underground CO2 Disposal Near Riyadh M Corrales, S Mantilla Salas, A Tasianas, H Hoteit, A Afifi International Petroleum Technology Conference, D011S002R002, 2022 | 3 | 2022 |
| Deep Learning to replace or augment model-based seismic inversion? M Ravasi, N Luiken, J Romero, M Corrales 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | 2 | 2023 |
| A Wasserstein GAN with Gradient Penalty for 3D Porous Media Generation M Corrales, M Izzatullah, H Hoteit, M Ravasi Second EAGE Subsurface Intelligence Workshop 2022 (1), 1-5, 2022 | 2 | 2022 |
| Quantifying Uncertainty through 3D Geological Modeling for Carbon Capture Utilization and Storage in the Unayzah Formation in Saudi Arabia SM Salas, M Corrales, H Hoteit, A Alafifi, A Tasianas EGU21, 2021 | 2 | 2021 |
| Plug-and-Play Stein variational gradient descent for Bayesian post-stack seismic inversion M Izzatullah, T Alkhalifah, J Romero, M Corrales, N Luiken, M Ravasi 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | 1 | 2023 |
| Posterior sampling with convolutional neural network-based plug-and-play regularization with applications to poststack seismic inversion M Izzatullah, T Alkhalifah, J Romero, M Corrales, N Luiken, M Ravasi Geophysics 89 (2), R137-R153, 2024 | | 2024 |
| Seis2rock: A data‐driven approach to direct petrophysical inversion of pre‐stack seismic data M Corrales, H Hoteit, M Ravasi Earth and Space Science 11 (2), e2023EA003301, 2024 | | 2024 |
| Plug-and-Play regularized 3D seismic inversion with 2D pre-trained denoisers N Luiken, J Romero, M Corrales, M Ravasi arXiv preprint arXiv:2401.00753, 2024 | | 2024 |
| A field data application of RockAVO: Data-driven, direct petrophysical inversion of prestack seismic data M Corrales, H Hoteit, M Ravasi Third International Meeting for Applied Geoscience & Energy, 6-10, 2023 | | 2023 |
| GANs for 3D Porous media generation M Corrales | | 2022 |
| Assessment of CO2 Geological Storage near Riyadh, Saudi Arabia M Corrales, S Mantilla, A Tasianas, H Hoteit | | 2021 |
| Data-Driven Rock-Physics Inversion Of Seismic Pre-Stack Data For Co2 Monitoring M Corrales, M Ravasi, H Hoteit | | 2021 |
Matteo RavasiKing Abdullah University of Science & TechnologyVerified email at kaust.edu.sa
