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Vinicius Luiz Santos Silva
Vinicius Luiz Santos Silva
Imperial College london / Petrobras
在 petrobras.com.br 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
512022
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
502017
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
29*2023
Stochastic optimization strategies applied to the OLYMPUS benchmark
VLS Silva, MA Cardoso, DFB Oliveira, RJ de Moraes
Computational Geosciences 24 (6), 1943-1958, 2020
272020
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
252007
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
202022
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
202021
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
11*2023
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
GS Seabra, NT Mücke, VLS Silva, D Voskov, FC Vossepoel
International Journal of Greenhouse Gas Control 136, 104190, 2024
82024
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
72020
Generative networks applied to model fluid flows
M Jolaade, VLS Silva, CE Heaney, CC Pain
International Conference on Computational Science, 742-755, 2022
62022
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
32022
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
32016
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
32006
Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology
VLS Silva, CE Heaney, N Nenov, CC Pain
Journal of Computational Science 83, 102451, 2024
2024
Boosting Barlow Twins reduced order modeling for machine learningbased surrogate models in multiphase flow problems
T Kadeethum, VLS Silva, P Salinas, CC Pain, H Yoon
Water Resources Research 60 (10), e2023WR035778, 2024
2024
Advancing Data Assimilation and Uncertainty Quantification for CO2 Sequestration through AI-Hybrid Methods
GS Seabra, NT Mücke, VLS Silva, D Voskov, F Vossepoel
ECMOR 2024 2024 (1), 1-23, 2024
2024
Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions
VLS Silva, G Regnier, P Salinas, CE Heaney, MD Jackson, CC Pain
arXiv preprint arXiv:2405.14548, 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
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
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