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Artigo de periodico
Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models (2024)
Tamoto, Hugo; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL
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ABNT
TAMOTO, Hugo e GIORIA, Rafael dos Santos e CARNEIRO, Cleyton de Carvalho. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, v. 220, p. 10 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111169. Acesso em: 16 nov. 2024.
APA
Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2024). Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, 220, 10 . doi:10.1016/j.petrol.2022.111169
NLM
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2024 ; 220 10 .[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
Vancouver
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2024 ; 220 10 .[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
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: 16 nov. 2024.
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 2024 nov. 16 ] 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 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
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: 16 nov. 2024.
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 2024 nov. 16 ] 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 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.fuel.2022.125633
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: 16 nov. 2024.
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 2024 nov. 16 ] 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 2024 nov. 16 ] Available from: https://doi.org/10.2516/ogst/2020094
Trabalho de evento
Development of computational and physical simulators for the horizontal well-reservoir interface (2014)
Val, Evérton Bezerra; Yamaguchi, Alan Junji; Miura, Kazuo; Azevedo, Ricardo Cabral de
Source: Proceedings. Conference titles: Rio Oil & Gas Conference. Unidade: EP
Assunto: PETRÓLEO
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ABNT
VAL, Evérton Bezerra et al. Development of computational and physical simulators for the horizontal well-reservoir interface. 2014, Anais.. Rio de Janeiro: IBP, 2014. Disponível em: https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203. Acesso em: 16 nov. 2024.
APA
Val, E. B., Yamaguchi, A. J., Miura, K., & Azevedo, R. C. de. (2014). Development of computational and physical simulators for the horizontal well-reservoir interface. In Proceedings. Rio de Janeiro: IBP. Recuperado de https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203
NLM
Val EB, Yamaguchi AJ, Miura K, Azevedo RC de. Development of computational and physical simulators for the horizontal well-reservoir interface [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203
Vancouver
Val EB, Yamaguchi AJ, Miura K, Azevedo RC de. Development of computational and physical simulators for the horizontal well-reservoir interface [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203

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