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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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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, 2024Tradução . . Disponível em: https://doi.org/10.1007/s13202-023-01720-4. Acesso em: 26 jul. 2024.
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. 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 ;[citado 2024 jul. 26 ] 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 ;[citado 2024 jul. 26 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
Artigo de periodico
Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images (2023)
Rubo, Rafael Andrello; Michelon, Mateus Fontana; Carneiro, Cleyton de Carvalho
Source: Earth Science Informatics. Unidade: EP
Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUBO, Rafael Andrello e MICHELON, Mateus Fontana e CARNEIRO, Cleyton de Carvalho. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, p. 10 2023, 2023Tradução . . Disponível em: https://doi.org/10.1007/s12145-022-00901-9. Acesso em: 26 jul. 2024.
APA
Rubo, R. A., Michelon, M. F., & Carneiro, C. de C. (2023). Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, 10 2023. doi:10.1007/s12145-022-00901-9
NLM
Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 jul. 26 ] Available from: https://doi.org/10.1007/s12145-022-00901-9
Vancouver
Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 jul. 26 ] Available from: https://doi.org/10.1007/s12145-022-00901-9
Artigo de periodico
Influence of base material particle features on petrophysical properties of synthetic carbonate plugs (2023)
Arismendi Florez, Jhonatan Jair; Michelon, Mateus Fontana; Ulsen, Carina ; Ferrari, Jean Vicente
Source: Heliyon. Unidade: EP
Subjects: PROPRIEDADES FÍSICAS DAS ROCHAS, ROCHAS SEDIMENTARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARISMENDI FLOREZ, Jhonatan Jair et al. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs. Heliyon, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.heliyon.2023.e18219. Acesso em: 26 jul. 2024.
APA
Arismendi Florez, J. J., Michelon, M. F., Ulsen, C., & Ferrari, J. V. (2023). Influence of base material particle features on petrophysical properties of synthetic carbonate plugs. Heliyon. doi:10.1016/j.heliyon.2023.e18219
NLM
Arismendi Florez JJ, Michelon MF, Ulsen C, Ferrari JV. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs [Internet]. Heliyon. 2023 ;[citado 2024 jul. 26 ] Available from: https://doi.org/10.1016/j.heliyon.2023.e18219
Vancouver
Arismendi Florez JJ, Michelon MF, Ulsen C, Ferrari JV. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs [Internet]. Heliyon. 2023 ;[citado 2024 jul. 26 ] Available from: https://doi.org/10.1016/j.heliyon.2023.e18219
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 26 jul. 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 jul. 26 ] 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 jul. 26 ] Available from: https://doi.org/10.2516/ogst/2020094

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