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Artigo de periodico
Gradient boosting trees feature importance for detecting interwell connectivity in an oilfield (2025)
Furlanetti, Michael; Gildin, Eduardo; Pinto, Marcio Augusto Sampaio
Source: Geosystem Engineering. Unidade: EP
Subjects: RESERVATÓRIOS, POÇOS, POÇOS
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ABNT
FURLANETTI, Michael e GILDIN, Eduardo e PINTO, Marcio Augusto Sampaio. Gradient boosting trees feature importance for detecting interwell connectivity in an oilfield. Geosystem Engineering, p. 19 , 2025Tradução . . Disponível em: https://doi.org/10.1080/12269328.2025.2520551. Acesso em: 03 nov. 2025.
APA
Furlanetti, M., Gildin, E., & Pinto, M. A. S. (2025). Gradient boosting trees feature importance for detecting interwell connectivity in an oilfield. Geosystem Engineering, 19 . doi:10.1080/12269328.2025.2520551
NLM
Furlanetti M, Gildin E, Pinto MAS. Gradient boosting trees feature importance for detecting interwell connectivity in an oilfield [Internet]. Geosystem Engineering. 2025 ;19 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1080/12269328.2025.2520551
Vancouver
Furlanetti M, Gildin E, Pinto MAS. Gradient boosting trees feature importance for detecting interwell connectivity in an oilfield [Internet]. Geosystem Engineering. 2025 ;19 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1080/12269328.2025.2520551
Artigo de periodico
Exploring the Synergy of Gas-Integrated Technologies in the Búzios Pre-Salt Field: A Case Study for a Pioneering Strategy in Early Monetization of Deep-Water Offshore Gas (2025)
Borges, Cristiano Moura; Arend, Lauron ; Costa, Hirdan Katarina de Medeiros ; Vieira, Daniel Prata ; Hu, Xuefeng; Feng, Junkai; Nishimoto, Kazuo ; Santos, Edmilson Moutinho dos ; Pinto, Marcio Augusto Sampaio
Source: Energy and Power Engineering. Unidades: EP, RUSP, IEE
Subjects: GÁS NATURAL, PETRÓLEO, CARBONO
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ABNT
BORGES, Cristiano Moura et al. Exploring the Synergy of Gas-Integrated Technologies in the Búzios Pre-Salt Field: A Case Study for a Pioneering Strategy in Early Monetization of Deep-Water Offshore Gas. Energy and Power Engineering, v. 17, n. 8, p. 191-216, 2025Tradução . . Disponível em: https://doi.org/10.4236/epe.2025.178011. Acesso em: 03 nov. 2025.
APA
Borges, C. M., Arend, L., Costa, H. K. de M., Vieira, D. P., Hu, X., Feng, J., et al. (2025). Exploring the Synergy of Gas-Integrated Technologies in the Búzios Pre-Salt Field: A Case Study for a Pioneering Strategy in Early Monetization of Deep-Water Offshore Gas. Energy and Power Engineering, 17( 8), 191-216. doi:10.4236/epe.2025.178011
NLM
Borges CM, Arend L, Costa HK de M, Vieira DP, Hu X, Feng J, Nishimoto K, Santos EM dos, Pinto MAS. Exploring the Synergy of Gas-Integrated Technologies in the Búzios Pre-Salt Field: A Case Study for a Pioneering Strategy in Early Monetization of Deep-Water Offshore Gas [Internet]. Energy and Power Engineering. 2025 ; 17( 8): 191-216.[citado 2025 nov. 03 ] Available from: https://doi.org/10.4236/epe.2025.178011
Vancouver
Borges CM, Arend L, Costa HK de M, Vieira DP, Hu X, Feng J, Nishimoto K, Santos EM dos, Pinto MAS. Exploring the Synergy of Gas-Integrated Technologies in the Búzios Pre-Salt Field: A Case Study for a Pioneering Strategy in Early Monetization of Deep-Water Offshore Gas [Internet]. Energy and Power Engineering. 2025 ; 17( 8): 191-216.[citado 2025 nov. 03 ] Available from: https://doi.org/10.4236/epe.2025.178011
Artigo de periodico
Reservoir characterization based on data incorporation throughout production development. (2025)
Coimbra, Alexandre ; Pinto, Marcio Augusto Sampaio
Source: Geoenergy Science and Engineering. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, POÇOS, PETRÓLEO
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COIMBRA, Alexandre e PINTO, Marcio Augusto Sampaio. Reservoir characterization based on data incorporation throughout production development. Geoenergy Science and Engineering, v. 252, p. 15 , 2025Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2025.213911. Acesso em: 03 nov. 2025.
APA
Coimbra, A., & Pinto, M. A. S. (2025). Reservoir characterization based on data incorporation throughout production development. Geoenergy Science and Engineering, 252, 15 . doi:10.1016/j.geoen.2025.213911
NLM
Coimbra A, Pinto MAS. Reservoir characterization based on data incorporation throughout production development. [Internet]. Geoenergy Science and Engineering. 2025 ; 252 15 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.geoen.2025.213911
Vancouver
Coimbra A, Pinto MAS. Reservoir characterization based on data incorporation throughout production development. [Internet]. Geoenergy Science and Engineering. 2025 ; 252 15 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.geoen.2025.213911
Artigo de periodico
Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production (2024)
Aranha, Pedro Esteves ; Policarpo, Nara Angélica ; Sampaio, Márcio Santos
Source: Journal Of Petroleum Exploration And Production Technology. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, POÇOS
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ABNT
ARANHA, Pedro Esteves e POLICARPO, Nara Angélica e SAMPAIO, Márcio Santos. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production. Journal Of Petroleum Exploration And Production Technology, v. 14, p. 567-581, 2024Tradução . . Disponível em: https://doi.org/10.1007/s13202-023-01720-4. Acesso em: 03 nov. 2025.
APA
Aranha, P. E., Policarpo, N. A., & Sampaio, M. S. (2024). Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production. Journal Of Petroleum Exploration And Production Technology, 14, 567-581. doi:10.1007/s13202-023-01720-4
NLM
Aranha PE, Policarpo NA, Sampaio MS. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ; 14 567-581.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
Vancouver
Aranha PE, Policarpo NA, Sampaio MS. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ; 14 567-581.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
Artigo de periodico
Integration between experimental investigation and numerical simulation of alkaline surfactant foam flooding in carbonate reservoirs (2024)
Silva, João Victor Gois; Silveira, Bruno Marco de Oliveira; Ferrari, Jean Vicente ; Pinto, Marcio Augusto Sampaio
Source: Journal Of Petroleum Exploration And Production Technology. Unidade: EP
Subjects: QUÍMICA INDUSTRIAL, PROCESSOS QUÍMICOS
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ABNT
SILVA, João Victor Gois et al. Integration between experimental investigation and numerical simulation of alkaline surfactant foam flooding in carbonate reservoirs. Journal Of Petroleum Exploration And Production Technology, v. 14, p. 2807-2831, 2024Tradução . . Disponível em: https://doi.org/10.1007/s13202-024-01855. Acesso em: 03 nov. 2025.
APA
Silva, J. V. G., Silveira, B. M. de O., Ferrari, J. V., & Pinto, M. A. S. (2024). Integration between experimental investigation and numerical simulation of alkaline surfactant foam flooding in carbonate reservoirs. Journal Of Petroleum Exploration And Production Technology, 14, 2807-2831. doi:10.1007/s13202-024-01855-y
NLM
Silva JVG, Silveira BM de O, Ferrari JV, Pinto MAS. Integration between experimental investigation and numerical simulation of alkaline surfactant foam flooding in carbonate reservoirs [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ; 14 2807-2831.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s13202-024-01855
Vancouver
Silva JVG, Silveira BM de O, Ferrari JV, Pinto MAS. Integration between experimental investigation and numerical simulation of alkaline surfactant foam flooding in carbonate reservoirs [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ; 14 2807-2831.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s13202-024-01855
Artigo de periodico
A system to detect oilwell anomalies using deep learning and decision diagram dual approach (2024)
Aranha, Pedro Esteves ; Lopes, Lucas Gouveia Omena Lopes ; Paranhos Sobrinho, Eduardo ; Oliveira, Igor de Melo Nery ; Araújo, João Paulo de ; Santos, Bruno Batista dos ; Lima Junior, Eduardo ; Silva, Thiago Barbosa da ; Vieira, Thales ; Lira, William Wagner Matos ; Policarpo, Nara Angélica ; Pinto, Marcio Augusto Sampaio
Source: SPE Journal. Unidade: EP
Subjects: INDÚSTRIA PETROQUÍMICA, RESERVATÓRIOS DE PETRÓLEO
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ABNT
ARANHA, Pedro Esteves et al. A system to detect oilwell anomalies using deep learning and decision diagram dual approach. SPE Journal, v. 29, n. 3, p. 1540-1553, 2024Tradução . . Disponível em: https://doi.org/10.2118/218017-pa. Acesso em: 03 nov. 2025.
APA
Aranha, P. E., Lopes, L. G. O. L., Paranhos Sobrinho, E., Oliveira, I. de M. N., Araújo, J. P. de, Santos, B. B. dos, et al. (2024). A system to detect oilwell anomalies using deep learning and decision diagram dual approach. SPE Journal, 29( 3), 1540-1553. doi:10.2118/218017-pa
NLM
Aranha PE, Lopes LGOL, Paranhos Sobrinho E, Oliveira I de MN, Araújo JP de, Santos BB dos, Lima Junior E, Silva TB da, Vieira T, Lira WWM, Policarpo NA, Pinto MAS. A system to detect oilwell anomalies using deep learning and decision diagram dual approach [Internet]. SPE Journal. 2024 ; 29( 3): 1540-1553.[citado 2025 nov. 03 ] Available from: https://doi.org/10.2118/218017-pa
Vancouver
Aranha PE, Lopes LGOL, Paranhos Sobrinho E, Oliveira I de MN, Araújo JP de, Santos BB dos, Lima Junior E, Silva TB da, Vieira T, Lira WWM, Policarpo NA, Pinto MAS. A system to detect oilwell anomalies using deep learning and decision diagram dual approach [Internet]. SPE Journal. 2024 ; 29( 3): 1540-1553.[citado 2025 nov. 03 ] Available from: https://doi.org/10.2118/218017-pa
Artigo de periodico
Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models (2024)
Ranazzi, Paulo Henrique; Xiaodong, Luo ; Pinto, Marcio Augusto Sampaio
Source: Computers & Geosciences. Unidade: EP
Assunto: REDES E COMUNICAÇÃO DE DADOS
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ABNT
RANAZZI, Paulo Henrique e XIAODONG, Luo e PINTO, Marcio Augusto Sampaio. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models. Computers & Geosciences, v. no 2024, p. 13 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cageo.2024.105747. Acesso em: 03 nov. 2025.
APA
Ranazzi, P. H., Xiaodong, L., & Pinto, M. A. S. (2024). Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models. Computers & Geosciences, no 2024, 13 . doi:10.1016/j.cageo.2024.105747
NLM
Ranazzi PH, Xiaodong L, Pinto MAS. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models [Internet]. Computers & Geosciences. 2024 ; no 2024 13 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.cageo.2024.105747
Vancouver
Ranazzi PH, Xiaodong L, Pinto MAS. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models [Internet]. Computers & Geosciences. 2024 ; no 2024 13 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.cageo.2024.105747
Trabalho de evento
Data-Driven workflow for categorization of brines applied to a pre-salt field (2023)
Fernandes, M. A.; Gildin, Eduardo; Pinto, Marcio Augusto Sampaio
Source: Proceedings. Conference titles: Offshore Technology Conference Brasil. Unidade: EP
Subjects: GEOLOGIA ESTRUTURAL, INTELIGÊNCIA ARTIFICIAL, POÇOS, PRÉ-SAL
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ABNT
FERNANDES, M. A. e GILDIN, Eduardo e PINTO, Marcio Augusto Sampaio. Data-Driven workflow for categorization of brines applied to a pre-salt field. 2023, Anais.. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.4043/32950-MS. Acesso em: 03 nov. 2025.
APA
Fernandes, M. A., Gildin, E., & Pinto, M. A. S. (2023). Data-Driven workflow for categorization of brines applied to a pre-salt field. In Proceedings. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo. doi:10.4043/32950-MS
NLM
Fernandes MA, Gildin E, Pinto MAS. Data-Driven workflow for categorization of brines applied to a pre-salt field [Internet]. Proceedings. 2023 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.4043/32950-MS
Vancouver
Fernandes MA, Gildin E, Pinto MAS. Data-Driven workflow for categorization of brines applied to a pre-salt field [Internet]. Proceedings. 2023 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.4043/32950-MS
Artigo de periodico
Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection (2023)
Reginato, Leonardo Fonseca; Gioria, Rafael dos Santos ; Pinto, Marcio Augusto Sampaio
Source: Energies. Unidade: EP
Subjects: PERMEABILIDADE DO SOLO, RESERVATÓRIOS, APRENDIZADO COMPUTACIONAL
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ABNT
REGINATO, Leonardo Fonseca e GIORIA, Rafael dos Santos e PINTO, Marcio Augusto Sampaio. Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection. Energies, v. 16, n. 13, 2023Tradução . . Disponível em: https://doi.org/10.3390/en16134849. Acesso em: 03 nov. 2025.
APA
Reginato, L. F., Gioria, R. dos S., & Pinto, M. A. S. (2023). Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection. Energies, 16( 13). doi:10.3390/en16134849
NLM
Reginato LF, Gioria R dos S, Pinto MAS. Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection [Internet]. Energies. 2023 ;16( 13):[citado 2025 nov. 03 ] Available from: https://doi.org/10.3390/en16134849
Vancouver
Reginato LF, Gioria R dos S, Pinto MAS. Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection [Internet]. Energies. 2023 ;16( 13):[citado 2025 nov. 03 ] Available from: https://doi.org/10.3390/en16134849
Artigo de periodico
Topology optimization for stability problems of submerged structures using the TOBS method (2022)
Mendes, Eduardo Aguiar; Sivapuram, Raghavendra; Rodríguez, René Quispe; Pinto, Marcio Augusto Sampaio ; Picelli, Raphael Ricomini
Source: Computers & Structures. Unidade: EP
Subjects: TOPOLOGIA, MÉTODOS TOPOLÓGICOS, FLAMBAGEM
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ABNT
MENDES, Eduardo Aguiar et al. Topology optimization for stability problems of submerged structures using the TOBS method. Computers & Structures, v. 259, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compstruc.2021.106685. Acesso em: 03 nov. 2025.
APA
Mendes, E. A., Sivapuram, R., Rodríguez, R. Q., Pinto, M. A. S., & Picelli, R. R. (2022). Topology optimization for stability problems of submerged structures using the TOBS method. Computers & Structures, 259. doi:10.1016/j.compstruc.2021.106685
NLM
Mendes EA, Sivapuram R, Rodríguez RQ, Pinto MAS, Picelli RR. Topology optimization for stability problems of submerged structures using the TOBS method [Internet]. Computers & Structures. 2022 ; 259[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.compstruc.2021.106685
Vancouver
Mendes EA, Sivapuram R, Rodríguez RQ, Pinto MAS, Picelli RR. Topology optimization for stability problems of submerged structures using the TOBS method [Internet]. Computers & Structures. 2022 ; 259[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.compstruc.2021.106685
Artigo de periodico
Fundamental aspects, mechanisms and emerging possibilities of CO2 miscible flooding in enhanced oil recovery: a review (2022)
Kumar, Narenda; Pinto, Marcio Augusto Sampaio ; Ojha, Keka; Hoteit, Hussein; Mandal, Ajay
Source: Fuel. Unidade: EP
Assunto: RESERVATÓRIOS DE PETRÓLEO
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ABNT
KUMAR, Narenda et al. Fundamental aspects, mechanisms and emerging possibilities of CO2 miscible flooding in enhanced oil recovery: a review. Fuel, v. 330, p. 22 , 2022Tradução . . Disponível em: https://doi.org/10.1016/j.fuel.2022.125633. Acesso em: 03 nov. 2025.
APA
Kumar, N., Pinto, M. A. S., Ojha, K., Hoteit, H., & Mandal, A. (2022). Fundamental aspects, mechanisms and emerging possibilities of CO2 miscible flooding in enhanced oil recovery: a review. Fuel, 330, 22 . doi:10.1016/j.fuel.2022.125633
NLM
Kumar N, Pinto MAS, Ojha K, Hoteit H, Mandal A. Fundamental aspects, mechanisms and emerging possibilities of CO2 miscible flooding in enhanced oil recovery: a review [Internet]. Fuel. 2022 ; 330 22 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.fuel.2022.125633
Vancouver
Kumar N, Pinto MAS, Ojha K, Hoteit H, Mandal A. Fundamental aspects, mechanisms and emerging possibilities of CO2 miscible flooding in enhanced oil recovery: a review [Internet]. Fuel. 2022 ; 330 22 .[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.fuel.2022.125633
Artigo de periodico
Improving pseudo-optimal Kalman-gain localization using the random shuffle method (2022)
Ranazzi, Paulo Henrique; Luo, Xiaodong; Pinto, Marcio Augusto Sampaio
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, FILTROS DE KALMAN
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ABNT
RANAZZI, Paulo Henrique e LUO, Xiaodong e PINTO, Marcio Augusto Sampaio. Improving pseudo-optimal Kalman-gain localization using the random shuffle method. Journal of Petroleum Science and Engineering, v. 215, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.110589. Acesso em: 03 nov. 2025.
APA
Ranazzi, P. H., Luo, X., & Pinto, M. A. S. (2022). Improving pseudo-optimal Kalman-gain localization using the random shuffle method. Journal of Petroleum Science and Engineering, 215. doi:10.1016/j.petrol.2022.110589
NLM
Ranazzi PH, Luo X, Pinto MAS. Improving pseudo-optimal Kalman-gain localization using the random shuffle method [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 215[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
Vancouver
Ranazzi PH, Luo X, Pinto MAS. Improving pseudo-optimal Kalman-gain localization using the random shuffle method [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 215[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
Artigo de periodico
Well production optimization under the scale effect and CO2-WAG Injection in a carbonate model of the Brazilian pre-salt (2022)
Gomes Filho, Luiz Carlos; Pinto, Marcio Augusto Sampaio
Source: SPE Production & Operations -. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, CARBONATOS
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ABNT
GOMES FILHO, Luiz Carlos e PINTO, Marcio Augusto Sampaio. Well production optimization under the scale effect and CO2-WAG Injection in a carbonate model of the Brazilian pre-salt. SPE Production & Operations -, 2022Tradução . . Disponível em: https://doi.org/10.2118/212269-PA. Acesso em: 03 nov. 2025.
APA
Gomes Filho, L. C., & Pinto, M. A. S. (2022). Well production optimization under the scale effect and CO2-WAG Injection in a carbonate model of the Brazilian pre-salt. SPE Production & Operations -. doi:10.2118/212269-PA
NLM
Gomes Filho LC, Pinto MAS. Well production optimization under the scale effect and CO2-WAG Injection in a carbonate model of the Brazilian pre-salt [Internet]. SPE Production & Operations -. 2022 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.2118/212269-PA
Vancouver
Gomes Filho LC, Pinto MAS. Well production optimization under the scale effect and CO2-WAG Injection in a carbonate model of the Brazilian pre-salt [Internet]. SPE Production & Operations -. 2022 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.2118/212269-PA
Artigo de periodico
Optimization of ionic concentrations in engineered water injection in carbonate reservoir through ANN and FGA (2021)
Reginato, Leonardo Fonseca; Pedroni, Lucas Gomes; Compan, André Luiz Martins; Skinner, Rodrigo; Pinto, Marcio Augusto Sampaio
Source: Oil & Gas Science and Technology. Unidade: EP
Subjects: RESERVATÓRIOS, INJEÇÃO (ENGENHARIA), CARBONATOS
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ABNT
REGINATO, Leonardo Fonseca et al. Optimization of ionic concentrations in engineered water injection in carbonate reservoir through ANN and FGA. Oil & Gas Science and Technology, v. 76, 2021Tradução . . Disponível em: https://doi.org/10.2516/ogst/2020094. Acesso em: 03 nov. 2025.
APA
Reginato, L. F., Pedroni, L. G., Compan, A. L. M., Skinner, R., & Pinto, M. A. S. (2021). Optimization of ionic concentrations in engineered water injection in carbonate reservoir through ANN and FGA. Oil & Gas Science and Technology, 76. doi:10.2516/ogst/2020094
NLM
Reginato LF, Pedroni LG, Compan ALM, Skinner R, Pinto MAS. Optimization of ionic concentrations in engineered water injection in carbonate reservoir through ANN and FGA [Internet]. Oil & Gas Science and Technology. 2021 ; 76[citado 2025 nov. 03 ] Available from: https://doi.org/10.2516/ogst/2020094
Vancouver
Reginato LF, Pedroni LG, Compan ALM, Skinner R, Pinto MAS. Optimization of ionic concentrations in engineered water injection in carbonate reservoir through ANN and FGA [Internet]. Oil & Gas Science and Technology. 2021 ; 76[citado 2025 nov. 03 ] Available from: https://doi.org/10.2516/ogst/2020094
Trabalho de evento-anais periodico
A geometry trimming approach for topology optimization of acoustic problems (2021)
Castro, Thaís Almeida Ribeiro de; Sivapuram, Raghavendra; Andrade, Marco Aurélio Brizzotti ; Pinto, Marcio Augusto Sampaio ; Sanches, Renato Picelli
Source: Proceedings. Conference titles: Ibero-Latin-American Congress on Computational Methods in Engineering - CILAMCE. Unidades: IF, EP
Subjects: TOPOLOGIA, MÉTODO DOS ELEMENTOS FINITOS
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ABNT
CASTRO, Thaís Almeida Ribeiro de et al. A geometry trimming approach for topology optimization of acoustic problems. Proceedings. Belo Horizonte: Associação Brasileira de Métodos Computacionais em Engenharia. Disponível em: https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf. Acesso em: 03 nov. 2025. , 2021
APA
Castro, T. A. R. de, Sivapuram, R., Andrade, M. A. B., Pinto, M. A. S., & Sanches, R. P. (2021). A geometry trimming approach for topology optimization of acoustic problems. Proceedings. Belo Horizonte: Associação Brasileira de Métodos Computacionais em Engenharia. Recuperado de https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf
NLM
Castro TAR de, Sivapuram R, Andrade MAB, Pinto MAS, Sanches RP. A geometry trimming approach for topology optimization of acoustic problems [Internet]. Proceedings. 2021 ;[citado 2025 nov. 03 ] Available from: https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf
Vancouver
Castro TAR de, Sivapuram R, Andrade MAB, Pinto MAS, Sanches RP. A geometry trimming approach for topology optimization of acoustic problems [Internet]. Proceedings. 2021 ;[citado 2025 nov. 03 ] Available from: https://cilamce.com.br/anais/arearestrita/apresentacoes/236/9339.pdf
Artigo de periodico
Impact of physical phenomena and cyclical reinjection in miscible CO2-WAG recovery in carbonate reservoirs (2020)
Pinto, Marcio Augusto Sampaio ; Mello, Samuel Ferreira de; Schiozer, Denis José
Source: Journal of Petroleum Exploration and Production Technology. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, DIÓXIDO DE CARBONO
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ABNT
PINTO, Marcio Augusto Sampaio e MELLO, Samuel Ferreira de e SCHIOZER, Denis José. Impact of physical phenomena and cyclical reinjection in miscible CO2-WAG recovery in carbonate reservoirs. Journal of Petroleum Exploration and Production Technology, v. 10, p. 3865–3881, 2020Tradução . . Disponível em: https://doi.org/10.1007/s13202-020-00925-1. Acesso em: 03 nov. 2025.
APA
Pinto, M. A. S., Mello, S. F. de, & Schiozer, D. J. (2020). Impact of physical phenomena and cyclical reinjection in miscible CO2-WAG recovery in carbonate reservoirs. Journal of Petroleum Exploration and Production Technology, 10, 3865–3881. doi:10.1007/s13202-020-00925-1
NLM
Pinto MAS, Mello SF de, Schiozer DJ. Impact of physical phenomena and cyclical reinjection in miscible CO2-WAG recovery in carbonate reservoirs [Internet]. Journal of Petroleum Exploration and Production Technology. 2020 ; 10 3865–3881.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s13202-020-00925-1
Vancouver
Pinto MAS, Mello SF de, Schiozer DJ. Impact of physical phenomena and cyclical reinjection in miscible CO2-WAG recovery in carbonate reservoirs [Internet]. Journal of Petroleum Exploration and Production Technology. 2020 ; 10 3865–3881.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s13202-020-00925-1
Artigo de periodico
Efficient workflow for optimizing intelligent well completion using production parameters in real-time (2020)
Schaefer, Bruno Cruz; Pinto, Marcio Augusto Sampaio
Source: Oil & Gas Science and Technology. Unidade: EP
Subjects: COMPLETAÇÃO, RESERVATÓRIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCHAEFER, Bruno Cruz e PINTO, Marcio Augusto Sampaio. Efficient workflow for optimizing intelligent well completion using production parameters in real-time. Oil & Gas Science and Technology, v. 75, n. 69, 2020Tradução . . Disponível em: https://doi.org/10.2516/ogst/2020061. Acesso em: 03 nov. 2025.
APA
Schaefer, B. C., & Pinto, M. A. S. (2020). Efficient workflow for optimizing intelligent well completion using production parameters in real-time. Oil & Gas Science and Technology, 75( 69). doi:10.2516/ogst/2020061
NLM
Schaefer BC, Pinto MAS. Efficient workflow for optimizing intelligent well completion using production parameters in real-time [Internet]. Oil & Gas Science and Technology. 2020 ; 75( 69):[citado 2025 nov. 03 ] Available from: https://doi.org/10.2516/ogst/2020061
Vancouver
Schaefer BC, Pinto MAS. Efficient workflow for optimizing intelligent well completion using production parameters in real-time [Internet]. Oil & Gas Science and Technology. 2020 ; 75( 69):[citado 2025 nov. 03 ] Available from: https://doi.org/10.2516/ogst/2020061
Trabalho de evento-anais periodico
Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná (2020)
Masulino, Nathália Weber Neiva; Tassinari, Colombo Celso Gaeta ; Pinto, Marcio Augusto Sampaio
Source: Proceedings. Conference titles: Rio Oil & Gas Expo and Conference. Unidades: IEE, EP
Subjects: RESERVATÓRIOS, CARBONO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASULINO, Nathália Weber Neiva e TASSINARI, Colombo Celso Gaeta e PINTO, Marcio Augusto Sampaio. Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná. Proceedings. Rio de Janeiro: IBP. Disponível em: https://doi.org/10.48072/2525-7579.rog.2020.537. Acesso em: 03 nov. 2025. , 2020
APA
Masulino, N. W. N., Tassinari, C. C. G., & Pinto, M. A. S. (2020). Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná. Proceedings. Rio de Janeiro: IBP. doi:10.48072/2525-7579.rog.2020.537
NLM
Masulino NWN, Tassinari CCG, Pinto MAS. Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná [Internet]. Proceedings. 2020 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.537
Vancouver
Masulino NWN, Tassinari CCG, Pinto MAS. Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná [Internet]. Proceedings. 2020 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.537
Trabalho de evento-anais periodico
Estudos de simulação de fluxo e análise econômica aplicados aos tratamento e injeção de água projetada (2020)
Pereira, Anderson do Nascimento; Domingues, Wesley Martins; Machado, Allana Helen; Lins, Islanny Kedja Trindade Oliveira; Pinto, Marcio Augusto Sampaio
Source: Proceedings. Conference titles: Rio Oil & Gas Expo and Conference. Unidade: EP
Subjects: OSMOSE REVERSA, RESERVATÓRIOS DE PETRÓLEO, TRATAMENTO DE ÁGUA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Anderson do Nascimento et al. Estudos de simulação de fluxo e análise econômica aplicados aos tratamento e injeção de água projetada. Proceedings. Rio de Janeiro: IBP. Disponível em: https://doi.org/10.48072/2525-7579.rog.2020.075. Acesso em: 03 nov. 2025. , 2020
APA
Pereira, A. do N., Domingues, W. M., Machado, A. H., Lins, I. K. T. O., & Pinto, M. A. S. (2020). Estudos de simulação de fluxo e análise econômica aplicados aos tratamento e injeção de água projetada. Proceedings. Rio de Janeiro: IBP. doi:10.48072/2525-7579.rog.2020.075
NLM
Pereira A do N, Domingues WM, Machado AH, Lins IKTO, Pinto MAS. Estudos de simulação de fluxo e análise econômica aplicados aos tratamento e injeção de água projetada [Internet]. Proceedings. 2020 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.075
Vancouver
Pereira A do N, Domingues WM, Machado AH, Lins IKTO, Pinto MAS. Estudos de simulação de fluxo e análise econômica aplicados aos tratamento e injeção de água projetada [Internet]. Proceedings. 2020 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.075
Artigo de periodico
Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring (2020)
Agostini, Cristiano Eduardo; Pinto, Marcio Augusto Sampaio
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PERFURAÇÃO DE POÇOS, PETRÓLEO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGOSTINI, Cristiano Eduardo e PINTO, Marcio Augusto Sampaio. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring. Journal of Petroleum Science and Engineering, v. 193, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2020.1074342. Acesso em: 03 nov. 2025.
APA
Agostini, C. E., & Pinto, M. A. S. (2020). Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring. Journal of Petroleum Science and Engineering, 193. doi:10.1016/j.petrol.2020.1074342
NLM
Agostini CE, Pinto MAS. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.petrol.2020.1074342
Vancouver
Agostini CE, Pinto MAS. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.petrol.2020.1074342

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