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Fernando Bordignon
Fernando Bordignon
LTrace Geophysical Solutions
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Title
Cited by
Cited by
Year
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
762018
Uninorm based evolving neural networks and approximation capabilities
F Bordignon, F Gomide
Neurocomputing 127, 13-20, 2014
712014
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
172017
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
162019
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
102019
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
72018
Extreme learning for evolving hybrid neural networks
F Bordignon, F Gomide
2012 Brazilian Symposium on Neural Networks, 196-201, 2012
62012
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
32018
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
32018
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
12019
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
12016
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
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
2023
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
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
Técnicas Inteligentes para Análise de Agrupamento de Dados
FL Bordignon
2010
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Articles 1–20