Source: Offshore Technology Conference Brasil. Conference titles: Offshore Technology Conference Brasil. Unidade: EP
Subjects: ENGENHARIA DE PETRÓLEO, RESERVATÓRIOS, REDES NEURAIS
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REGINATO, Leonardo Fonseca et al. Prediction of wettability alteration using the artificial neural networks in the salinity control of water injection in carbonate reservoirs. 2019, Anais.. Rio de janeiro: Offshore Technology Conference, 2019. Disponível em: https://doi.org/10.4043/29916-MS. Acesso em: 08 out. 2024.APA
Reginato, L. F., Carneiro, C. de C., Gioria, R. dos S., & Pinto, M. A. S. (2019). Prediction of wettability alteration using the artificial neural networks in the salinity control of water injection in carbonate reservoirs. In Offshore Technology Conference Brasil. Rio de janeiro: Offshore Technology Conference. doi:10.4043/29916-MSNLM
Reginato LF, Carneiro C de C, Gioria R dos S, Pinto MAS. Prediction of wettability alteration using the artificial neural networks in the salinity control of water injection in carbonate reservoirs [Internet]. Offshore Technology Conference Brasil. 2019 ;[citado 2024 out. 08 ] Available from: https://doi.org/10.4043/29916-MSVancouver
Reginato LF, Carneiro C de C, Gioria R dos S, Pinto MAS. Prediction of wettability alteration using the artificial neural networks in the salinity control of water injection in carbonate reservoirs [Internet]. Offshore Technology Conference Brasil. 2019 ;[citado 2024 out. 08 ] Available from: https://doi.org/10.4043/29916-MS