Rewbenio Araújo Frota is a Reservoir Evaluation Engineer at PETROBRAS. Rewbenio holds a Ph.D. in Electrical Engineering from the Pontifical Catholic University of Rio de Janeiro, PUC-Rio (2025), with a concentration in Computational Intelligence. He has published articles in journals and conference proceedings, all dealing with machine learning methods and applications, including self-organizing systems, fuzzy logic, and deep learning. His current professional and scientific interests include formation evaluation, well test analysis, formation damage, and reservoir characterization. In the area of machine learning, his interests include fuzzy logic, deep learning, generative models, representation learning, regenerative learning, self-organizing maps, feature engineering, artificial neural networks, error detection, novelty detection, outlier detection, and data mining applied to the petroleum industry.
EDUCATION
Rewbenio holds a degree in Electrical Engineering (2003) and an M.Eng. in Teleinformatics Engineering from the Federal University of Ceará (2005), a post graduate specialization in Petroleum Engineering from the Federal University of Bahia (2006), and a Ph.D. in Electrical Engineering from the Pontifical Catholic University of Rio de Janeiro, PUC-Rio (2025), with a concentration in Computational Intelligence.
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Electrical and Electronic Engineering, Computers in Earth Sciences, Geotechnical Engineering and Engineering Geology
205
Scholar Citations
8
Scholar h-index
7
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
Bidirectional unsupervised probabilistic data generation with self-organizing maps for the geoenergy industry RA Frota, GA Barreto, MMBR Vellasco, CM de Jesus Neurocomputing, 132476 , 2025 2025.0 Citations: 1
Self-organizing maps for cross-modal representation learning in petrophysics applications RA Frota, GA Barreto, MMBR Vellasco, CM De Jesus Geoenergy Science and Engineering, 214267 , 2025 2025.0 Citations: 2
Leveraging Regeneration Learning for Improved Acoustic Image Log Quality Assessment RA Frota, CM de Jesus, GA Barreto, M Vellasco Sixth EAGE Borehole Geology Workshop 2025 (1), 1-5 , 2025 2025.0
APRENDIZADO REGENERATIVO AUTOSSUPERVISIONADO COM APLICAÇÕES EM PETROFÍSICA RA Frota, MRBR Vellasco, GA Barreto PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO - PUC-RIO , 2025 2025.0
Rede SOM para Aprendizado de Representaçoes Multimodais com Aplicaçao em Petrofısica RA Frota, GA Barreto, MMBR Vellasco, CM de Jesus Anais do XXV Congresso Brasileiro de Automática 4 (1), 1620-1625 , 2024 2024.0 Citations: 1
New Cloth Unto an Old Garment: SOM for Regeneration Learning RA Frota, GA Barreto, MMBR Vellasco, CM de Jesus International Workshop on Self-Organizing Maps, Learning Vector Quantization … , 2024 2024.0 Citations: 2
Heteroassociative Mapping with Self-Organizing Maps for Probabilistic Multi-output Prediction RA Frota, MMBR Vellasco, GA Barreto, CM de Jesus 2024 International Joint Conference on Neural Networks (IJCNN), 1-6 , 2024 2024.0 Citations: 2
Fuzzy logic for control of injector wells flow rates under produced water reinjection RA Frota, R Tanscheit, M Vellasco Journal of Petroleum Science and Engineering 215, 110574 , 2022 2022.0 Citations: 11
A unifying methodology for the evaluation of neural network models on novelty detection tasks GA Barreto, RA Frota Pattern Analysis and Applications 16 (1), 83-97 , 2013 2013.0 Citations: 11
Anomaly detection in mobile communication networks using the self-organizing map RA Frota, GA Barreto, JCM Mota Journal of Intelligent & Fuzzy Systems 18 (5), 493-500 , 2007 2007.0 Citations: 22
Condition monitoring of 3G cellular networks through competitive neural models GA Barreto, JCM Mota, LGM Souza, RA Frota, L Aguayo IEEE Transactions on Neural Networks 16 (5), 1064-1075 , 2005 2005.0 Citations: 58
Avaliação de algoritmos de redes neurais artificiais em tarefas de detecção de novidades: uma abordagem unificadora RA Frota 2005.0 Citations: 3
On the classification of mental tasks: a performance comparison of neural and statistical approaches GA Barreto, RA Frota, FNS de Medeiros Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine … , 2004 2004.0 Citations: 40
Competitive neural networks for fault detection and diagnosis in 3G cellular systems GA Barreto, JCM Mota, LGM Souza, RA Frota, L Aguayo, JS Yamamoto, ... International Conference on Telecommunications, 207-213 , 2004 2004.0 Citations: 25
Nonstationary time series prediction using local models based on competitive neural networks GA Barreto, JCM Mota, LGM Souza, RA Frota International Conference on Industrial, Engineering and Other Applications … , 2004 2004.0 Citations: 18
A new approach to fault detection and diagnosis in cellular systems using competitive learning GA Barreto, JCM Mota, LGM Souza, RA Frota, L Aguayo, JS Yamamoto, ... Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN04) , 2004 2004.0 Citations: 9
Análise de sinais EEG usando transformada de Gabor como pré-processamento para classificação de tarefas mentais RA Frota, FNS de Medeiros
An Evaluation of Neural Network Methods and Data Preparation Strategies for Novelty Detection RA Frota, GA Barreto, JCM Mota
PROPOSTA DE UMA METODOLOGIA NÃO-PARAMÉTRICA PARA AVALIAÇÃO DE REDES NEURAIS EM TAREFAS DE DETECÇÃO DE NOVIDADES RA Frota, GA Barreto, JCM Mota
MOST CITED SCHOLAR PUBLICATIONS
Condition monitoring of 3G cellular networks through competitive neural models GA Barreto, JCM Mota, LGM Souza, RA Frota, L Aguayo IEEE Transactions on Neural Networks 16 (5), 1064-1075 , 2005 2005.0 Citations: 58
On the classification of mental tasks: a performance comparison of neural and statistical approaches GA Barreto, RA Frota, FNS de Medeiros Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine … , 2004 2004.0 Citations: 40
Competitive neural networks for fault detection and diagnosis in 3G cellular systems GA Barreto, JCM Mota, LGM Souza, RA Frota, L Aguayo, JS Yamamoto, ... International Conference on Telecommunications, 207-213 , 2004 2004.0 Citations: 25
Anomaly detection in mobile communication networks using the self-organizing map RA Frota, GA Barreto, JCM Mota Journal of Intelligent & Fuzzy Systems 18 (5), 493-500 , 2007 2007.0 Citations: 22
Nonstationary time series prediction using local models based on competitive neural networks GA Barreto, JCM Mota, LGM Souza, RA Frota International Conference on Industrial, Engineering and Other Applications … , 2004 2004.0 Citations: 18
Fuzzy logic for control of injector wells flow rates under produced water reinjection RA Frota, R Tanscheit, M Vellasco Journal of Petroleum Science and Engineering 215, 110574 , 2022 2022.0 Citations: 11
A unifying methodology for the evaluation of neural network models on novelty detection tasks GA Barreto, RA Frota Pattern Analysis and Applications 16 (1), 83-97 , 2013 2013.0 Citations: 11
A new approach to fault detection and diagnosis in cellular systems using competitive learning GA Barreto, JCM Mota, LGM Souza, RA Frota, L Aguayo, JS Yamamoto, ... Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN04) , 2004 2004.0 Citations: 9
Avaliação de algoritmos de redes neurais artificiais em tarefas de detecção de novidades: uma abordagem unificadora RA Frota 2005.0 Citations: 3
Self-organizing maps for cross-modal representation learning in petrophysics applications RA Frota, GA Barreto, MMBR Vellasco, CM De Jesus Geoenergy Science and Engineering, 214267 , 2025 2025.0 Citations: 2
New Cloth Unto an Old Garment: SOM for Regeneration Learning RA Frota, GA Barreto, MMBR Vellasco, CM de Jesus International Workshop on Self-Organizing Maps, Learning Vector Quantization … , 2024 2024.0 Citations: 2
Heteroassociative Mapping with Self-Organizing Maps for Probabilistic Multi-output Prediction RA Frota, MMBR Vellasco, GA Barreto, CM de Jesus 2024 International Joint Conference on Neural Networks (IJCNN), 1-6 , 2024 2024.0 Citations: 2
Bidirectional unsupervised probabilistic data generation with self-organizing maps for the geoenergy industry RA Frota, GA Barreto, MMBR Vellasco, CM de Jesus Neurocomputing, 132476 , 2025 2025.0 Citations: 1
Rede SOM para Aprendizado de Representaçoes Multimodais com Aplicaçao em Petrofısica RA Frota, GA Barreto, MMBR Vellasco, CM de Jesus Anais do XXV Congresso Brasileiro de Automática 4 (1), 1620-1625 , 2024 2024.0 Citations: 1
Leveraging Regeneration Learning for Improved Acoustic Image Log Quality Assessment RA Frota, CM de Jesus, GA Barreto, M Vellasco Sixth EAGE Borehole Geology Workshop 2025 (1), 1-5 , 2025 2025.0
APRENDIZADO REGENERATIVO AUTOSSUPERVISIONADO COM APLICAÇÕES EM PETROFÍSICA RA Frota, MRBR Vellasco, GA Barreto PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO - PUC-RIO , 2025 2025.0
Análise de sinais EEG usando transformada de Gabor como pré-processamento para classificação de tarefas mentais RA Frota, FNS de Medeiros
An Evaluation of Neural Network Methods and Data Preparation Strategies for Novelty Detection RA Frota, GA Barreto, JCM Mota
PROPOSTA DE UMA METODOLOGIA NÃO-PARAMÉTRICA PARA AVALIAÇÃO DE REDES NEURAIS EM TAREFAS DE DETECÇÃO DE NOVIDADES RA Frota, GA Barreto, JCM Mota
