Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production (2024)
- Authors:
- USP affiliated authors: POLICARPO, NARA ANGÉLICA - EP ; PINTO, MARCIO AUGUSTO SAMPAIO - EP ; ARANHA, PEDRO ESTEVES - EP
- Unidade: EP
- DOI: 10.1007/s13202-023-01720-4
- Subjects: RESERVATÓRIOS DE PETRÓLEO; POÇOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal Of Petroleum Exploration And Production Technology
- ISSN: 2190-0558
- Volume/Número/Paginação/Ano: 2024
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
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: 03 nov. 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 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 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/s13202-023-01720-4 - A system to detect oilwell anomalies using deep learning and decision diagram dual approach
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Informações sobre o DOI: 10.1007/s13202-023-01720-4 (Fonte: oaDOI API)
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