| History matching and production optimization under uncertainties–Application of closed-loop reservoir management VLS Silva, AA Emerick, P Couto, JLD Alves Journal of Petroleum Science and Engineering 157, 860-874, 2017 | 47 | 2017 |
| Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic C Quilodrán-Casas, VLS Silva, R Arcucci, CE Heaney, Y Guo, CC Pain Neurocomputing 470, 11-28, 2022 | 37 | 2022 |
| A new performance metric for multiobjective optimization: The integrated sphere counting VLS Silva, EF Wanner, SAAG Cerqueira, RHC Takahashi 2007 IEEE Congress on Evolutionary Computation, 3625-3630, 2007 | 26 | 2007 |
| Stochastic optimization strategies applied to the OLYMPUS benchmark VLS Silva, MA Cardoso, DFB Oliveira, RJ de Moraes Computational Geosciences 24 (6), 1943-1958, 2020 | 24 | 2020 |
| Data assimilation predictive GAN (DA-PredGAN) applied to a spatio-temporal compartmental model in epidemiology VLS Silva, CE Heaney, Y Li, CC Pain Journal of Scientific Computing 94 (1), 25, 2023 | 21* | 2023 |
| Machine learning acceleration for nonlinear solvers applied to multiphase porous media flow VLS Silva, P Salinas, MD Jackson, CC Pain Computer Methods in Applied Mechanics and Engineering 384, 113989, 2021 | 15 | 2021 |
| Enhancing high-fidelity nonlinear solver with reduced order model T Kadeethum, D O’malley, F Ballarin, I Ang, JN Fuhg, N Bouklas, ... Scientific Reports 12 (1), 20229, 2022 | 11 | 2022 |
| Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification VLS Silva, CE Heaney, CC Pain LatinX in AI Workshop at ICML 2023 (Regular Deadline), 2023 | 9* | 2023 |
| Assessment of miscible wag injection performance in a giant carbonate reservoir using analytical and numerical approaches JS de Araujo Cavalcante Filho, VL Santos Silva, JO de Sant'Anna Pizarro SPE Improved Oil Recovery Conference?, D011S011R001, 2020 | 6 | 2020 |
| Rapid Modelling of Reactive Transport in Porous Media using Machine Learning V Silva, G Regnier, P Salinas, C Heaney, M Jackson, C Pain ECMOR 2022 2022 (1), 1-9, 2022 | 3 | 2022 |
| Ajuste de Histórico e Otimização da Produção de Petróleo sob Incertezas - Aplicação do Gerenciamento de Reservatórios em Malha Fechada VLS Silva Universidade Federal do Rio de Janeiro, 2016 | 3 | 2016 |
| On nonlinear fitness functions for ranking-based selection VL Silva, AR da Cruz, EG Carrano, FG Guimaraes, RHC Takahashi 2006 IEEE International Conference on Evolutionary Computation, 305-311, 2006 | 3 | 2006 |
| Generative networks applied to model fluid flows M Jolaade, VLS Silva, CE Heaney, CC Pain International Conference on Computational Science, 742-755, 2022 | 2 | 2022 |
| AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage GS Seabra, NT Mücke, VLS Silva, D Voskov, F Vossepoel arXiv preprint arXiv:2402.06110, 2024 | | 2024 |
| Adaptive learning acceleration for nonlinear PDE solvers VLS Silva, P Salinas, CE Heaney, M Jackson, CC Pain NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
| Rapid Modelling of Reactive Transport in Porous Media using Machine Learning: Limitations and Solutions V Silva, GSG Regnier, P Salinas, C Heaney, M Jackson, C Pain AGU Fall Meeting Abstracts 2022, H16H-04, 2022 | | 2022 |
| Nonlinear solver acceleration based on machine learning applied to multiphase porous media flow V Silva, P Salinas, M Jackson, C Pain EGU General Assembly Conference Abstracts, EGU22-12398, 2022 | | 2022 |
| Non-Linear Solver Optimisation for Multiphase Porous Media Flow Based on Machine Learning VLS Silva, P Salinas, CC Pain, MD Jackson ECMOR XVII 2020 (1), 1-14, 2020 | | 2020 |
christopher painHead of AMCG, Imperial College LondonVerified email at ic.ac.uk
