Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties LP de Figueiredo, D Grana, FL Bordignon, M Santos, M Roisenberg, ... Geophysics 83 (5), M49-M61, 2018 | 83 | 2018 |
Uninorm based evolving neural networks and approximation capabilities F Bordignon, F Gomide Neurocomputing 127, 13-20, 2014 | 71 | 2014 |
Hybrid global stochastic and Bayesian linearized acoustic seismic inversion methodology FL Bordignon, LP de Figueiredo, L Azevedo, A Soares, M Roisenberg, ... IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4457-4464, 2017 | 17 | 2017 |
Deep learning for grain size and porosity distributions estimation on micro-CT images F Bordignon, LPD Figueiredo, R Exterkoetter, BB Rodrigues, MD Correia Proceedings of the 16th international congress of the Brazilian geophysical …, 2019 | 16 | 2019 |
Strategies for integrating uncertainty in iterative geostatistical seismic inversion P Pereira, F Bordignon, L Azevedo, R Nunes, A Soares Geophysics 84 (2), R207-R219, 2019 | 11 | 2019 |
Acoustic impedance deblurring with a deep convolution neural network I Sacramento, E Trindade, M Roisenberg, F Bordignon, BB Rodrigues IEEE geoscience and remote sensing letters 16 (2), 315-319, 2018 | 8 | 2018 |
Extreme learning for evolving hybrid neural networks F Bordignon, F Gomide 2012 Brazilian Symposium on Neural Networks, 196-201, 2012 | 6 | 2012 |
Petroleum reservoir connectivity patterns reconstruction using deep convolutional generative adversarial networks R Exterkoetter, F Bordignon, LP de Figueiredo, M Roisenberg, ... 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 97-102, 2018 | 3 | 2018 |
Impact of seismic-inversion parameters on reservoir pore volume and connectivity LP de Figueiredo, FL Bordignon, D Grana, M Roisenberg, BB Rodrigues SEG Technical Program Expanded Abstracts 2018, 381-385, 2018 | 3 | 2018 |
Feature Extraction in Time-Lapse Seismic Using Deep Learning for Data Assimilation R Exterkoetter, G Rachid Dutra, L Passos de Figueiredo, F Bordignon, ... SPE Reservoir Simulation Conference, 2023 | 2 | 2023 |
Deep Feature Extraction for Data Assimilation with Ensemble Smoother R Exterkoetter, GR Dutra, LP de Figueiredo, FL Bordignon, AA Emerick, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
Deep 3D convolutional neural network applied to CT segmented image for rock properties prediction LP de Figueiredo, F Bordignon, R Exterkoetter, BB Rodrigues, M Duarte SEG Technical Program Expanded Abstracts 2019, 2614-2618, 2019 | 1 | 2019 |
Integration of uncertain well-log data into geostatistical seismic inversion P Pereira, F Bordignon, R Nunes, L Azevedo, A Soares SEG Technical Program Expanded Abstracts 2016, 2921-2925, 2016 | 1 | 2016 |
Ensemble smoother with fully convolutional VAE for seismic facies inversion R Exterkoetter, LP de Figueiredo, FL Bordignon, AA Emerick, ... Computers & Geosciences, 105619, 2024 | | 2024 |
Multipoint Statistics and Machine Learning for Simulating Digital Rock Models DE Zanellato, IB Carneiro, L De Figueiredo, F Bordignon Fifth EAGE Conference on Petroleum Geostatistics 2023 (1), 1-5, 2023 | | 2023 |
Incorporating of Well-log Uncertainties into Iterative Geostatistical Seismic Inversion P Pereira, F Bordignon, L Azevedo, R Nunes, A Soares 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | | 2018 |
Métodos híbridos para modelagem de incerteza em inversão sísmica acústica e inversão para propriedades petrofísicas FL Bordignon | | 2018 |
Integration of Bayesian Linearized Inversion into Geostatistical Seismic Inversion F Bordignon, L Figueiredo, L Azevedo, A Soares, M Roisenberg, GS Neto 78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016 | | 2016 |
Fast spatially coupled Bayesian linearized acoustic seismic inversion in Time Domain. F Bordignon, LP de Figueiredo, M Roisenberg, BB Rodrigues GEOINFO, 22-31, 2016 | | 2016 |
Aprendizado Extremo para Redes Neurais Fuzzy Baseadas em Uninormas FL Bordignon [sn], 2013 | | 2013 |