ReP USP - Resultado da busca

Dissertação (Mestrado)
Application of machine learning techniques for modeling of relative permeability in engineered water injection in carbonate reservoirs (2022)
Reginato, Leonardo Fonseca; Pinto, Marcio Augusto Sampaio (Orientador)
Unidade: EP
Subjects: CARBONATOS, RESERVATÓRIOS, APRENDIZADO COMPUTACIONAL, INJEÇÃO (ENGENHARIA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REGINATO, Leonardo Fonseca. Application of machine learning techniques for modeling of relative permeability in engineered water injection in carbonate reservoirs. 2022. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2022. Disponível em: https://teses.usp.br/teses/disponiveis/3/3134/tde-26082022-083727/. Acesso em: 25 abr. 2026.
APA
Reginato, L. F. (2022). Application of machine learning techniques for modeling of relative permeability in engineered water injection in carbonate reservoirs (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://teses.usp.br/teses/disponiveis/3/3134/tde-26082022-083727/
NLM
Reginato LF. Application of machine learning techniques for modeling of relative permeability in engineered water injection in carbonate reservoirs [Internet]. 2022 ;[citado 2026 abr. 25 ] Available from: https://teses.usp.br/teses/disponiveis/3/3134/tde-26082022-083727/
Vancouver
Reginato LF. Application of machine learning techniques for modeling of relative permeability in engineered water injection in carbonate reservoirs [Internet]. 2022 ;[citado 2026 abr. 25 ] Available from: https://teses.usp.br/teses/disponiveis/3/3134/tde-26082022-083727/
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.2516/ogst/2020094
Trabalho de evento
Prediction of wettability alteration using the artificial neural networks in the salinity control of water injection in carbonate reservoirs (2019)
Reginato, Leonardo Fonseca; Carneiro, Cleyton de Carvalho ; Gioria, Rafael dos Santos ; Pinto, Marcio Augusto Sampaio
Source: Offshore Technology Conference Brasil. Conference titles: Offshore Technology Conference Brasil. Unidade: EP
Subjects: ENGENHARIA DE PETRÓLEO, RESERVATÓRIOS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 25 abr. 2026.
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-MS
NLM
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 2026 abr. 25 ] Available from: https://doi.org/10.4043/29916-MS
Vancouver
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 2026 abr. 25 ] Available from: https://doi.org/10.4043/29916-MS

USP Schools

ReP

Filtros

Authors

Subjects

Funding Agencies