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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
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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, 2024Tradução . . Disponível em: https://doi.org/10.1007/s13202-023-01720-4. Acesso em: 04 out. 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 out. 04 ] 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 out. 04 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 out. 2024.
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 2024 out. 04 ] 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 2024 out. 04 ] Available from: https://doi.org/10.2118/218017-pa
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: 04 out. 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 out. 04 ] 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 out. 04 ] Available from: https://doi.org/10.3390/en16134849
Trabalho de evento-resumo
Study of corrosion of ABNT/AISI 1020 steel in surfactant waterflooding scenario (2023)
Ribeiro, Carlos Alberto Amaral; Fagundes, Thais Bortotti; Darin Filho, Gaspar ; Matai, Patrícia Helena Lara dos Santos
Source: LatinCORR & InterCorr 2023. Conference titles: LatinCORR & InterCorr 2023. Unidades: EP, IF
Assunto: CORROSÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Carlos Alberto Amaral et al. Study of corrosion of ABNT/AISI 1020 steel in surfactant waterflooding scenario. 2023, Anais.. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo, 2023. Disponível em: https://www.ampp.org/events/latincorr-intercorr-2023. Acesso em: 04 out. 2024.
APA
Ribeiro, C. A. A., Fagundes, T. B., Darin Filho, G., & Matai, P. H. L. dos S. (2023). Study of corrosion of ABNT/AISI 1020 steel in surfactant waterflooding scenario. In LatinCORR & InterCorr 2023. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo. Recuperado de https://www.ampp.org/events/latincorr-intercorr-2023
NLM
Ribeiro CAA, Fagundes TB, Darin Filho G, Matai PHL dos S. Study of corrosion of ABNT/AISI 1020 steel in surfactant waterflooding scenario [Internet]. LatinCORR & InterCorr 2023. 2023 ;[citado 2024 out. 04 ] Available from: https://www.ampp.org/events/latincorr-intercorr-2023
Vancouver
Ribeiro CAA, Fagundes TB, Darin Filho G, Matai PHL dos S. Study of corrosion of ABNT/AISI 1020 steel in surfactant waterflooding scenario [Internet]. LatinCORR & InterCorr 2023. 2023 ;[citado 2024 out. 04 ] Available from: https://www.ampp.org/events/latincorr-intercorr-2023

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