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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: 13 jun. 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 jun. 13 ] 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 jun. 13 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 13 jun. 2024.
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 2024 jun. 13 ] 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 2024 jun. 13 ] Available from: https://doi.org/10.3390/en16134849
Artigo de periodico
Effects of blade torsion on IEA 15MW turbine rotor operation (2023)
Lapa, Gabriel Vicentin Pereira ; Gay Neto, Alfredo ; Franzini, Guilherme Rosa
Source: Renewable Energy. Unidade: EP
Subjects: ENERGIA EÓLICA, TURBINAS, GEOMETRIA E MODELAGEM COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAPA, Gabriel Vicentin Pereira e GAY NETO, Alfredo e FRANZINI, Guilherme Rosa. Effects of blade torsion on IEA 15MW turbine rotor operation. Renewable Energy, v. 219, p. 17 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.renene.2023.119546. Acesso em: 13 jun. 2024.
APA
Lapa, G. V. P., Gay Neto, A., & Franzini, G. R. (2023). Effects of blade torsion on IEA 15MW turbine rotor operation. Renewable Energy, 219, 17 on-line. doi:10.1016/j.renene.2023.119546
NLM
Lapa GVP, Gay Neto A, Franzini GR. Effects of blade torsion on IEA 15MW turbine rotor operation [Internet]. Renewable Energy. 2023 ; 219 17 on-line.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.renene.2023.119546
Vancouver
Lapa GVP, Gay Neto A, Franzini GR. Effects of blade torsion on IEA 15MW turbine rotor operation [Internet]. Renewable Energy. 2023 ; 219 17 on-line.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.renene.2023.119546

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