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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: 11 set. 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 set. 11 ] 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 set. 11 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
Trabalho de evento
Data-Driven workflow for categorization of brines applied to a pre-salt field (2023)
Fernandes, M. A.; Gildin, Eduardo; Pinto, Marcio Augusto Sampaio
Source: Proceedings. Conference titles: Offshore Technology Conference Brasil. Unidade: EP
Subjects: GEOLOGIA ESTRUTURAL, INTELIGÊNCIA ARTIFICIAL, POÇOS, PRÉ-SAL
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ABNT
FERNANDES, M. A. e GILDIN, Eduardo e PINTO, Marcio Augusto Sampaio. Data-Driven workflow for categorization of brines applied to a pre-salt field. 2023, Anais.. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.4043/32950-MS. Acesso em: 11 set. 2024.
APA
Fernandes, M. A., Gildin, E., & Pinto, M. A. S. (2023). Data-Driven workflow for categorization of brines applied to a pre-salt field. In Proceedings. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo. doi:10.4043/32950-MS
NLM
Fernandes MA, Gildin E, Pinto MAS. Data-Driven workflow for categorization of brines applied to a pre-salt field [Internet]. Proceedings. 2023 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.4043/32950-MS
Vancouver
Fernandes MA, Gildin E, Pinto MAS. Data-Driven workflow for categorization of brines applied to a pre-salt field [Internet]. Proceedings. 2023 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.4043/32950-MS
Artigo de periodico
Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs (2023)
Oliveira, Lucas Abreu Blanes de; Freitas,Gabriel Do Nascimento; Pesce, PedroBarros Cotta; Carneiro, Cleyton de Carvalho
Source: Geophysical prospecting. Unidade: EP
Subjects: PRÉ-SAL, APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA, Lucas Abreu Blanes de et al. Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs. Geophysical prospecting, p. 1-29, 2023Tradução . . Disponível em: https://doi.org/10.1111/1365-2478.13378. Acesso em: 11 set. 2024.
APA
Oliveira, L. A. B. de, Freitas, G. D. N., Pesce, P. B. C., & Carneiro, C. de C. (2023). Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs. Geophysical prospecting, 1-29. doi:10.1111/1365-2478.13378
NLM
Oliveira LAB de, Freitas GDN, Pesce PBC, Carneiro C de C. Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs [Internet]. Geophysical prospecting. 2023 ;1-29.[citado 2024 set. 11 ] Available from: https://doi.org/10.1111/1365-2478.13378
Vancouver
Oliveira LAB de, Freitas GDN, Pesce PBC, Carneiro C de C. Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs [Internet]. Geophysical prospecting. 2023 ;1-29.[citado 2024 set. 11 ] Available from: https://doi.org/10.1111/1365-2478.13378
Artigo de periodico
Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images (2023)
Rubo, Rafael Andrello; Michelon, Mateus Fontana; Carneiro, Cleyton de Carvalho
Source: Earth Science Informatics. Unidade: EP
Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL
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ABNT
RUBO, Rafael Andrello e MICHELON, Mateus Fontana e CARNEIRO, Cleyton de Carvalho. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, p. 10 2023, 2023Tradução . . Disponível em: https://doi.org/10.1007/s12145-022-00901-9. Acesso em: 11 set. 2024.
APA
Rubo, R. A., Michelon, M. F., & Carneiro, C. de C. (2023). Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, 10 2023. doi:10.1007/s12145-022-00901-9
NLM
Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/s12145-022-00901-9
Vancouver
Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/s12145-022-00901-9
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
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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: 11 set. 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 set. 11 ] 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 set. 11 ] Available from: https://doi.org/10.3390/en16134849
Artigo de periodico
Influence of base material particle features on petrophysical properties of synthetic carbonate plugs (2023)
Arismendi Florez, Jhonatan Jair; Michelon, Mateus Fontana; Ulsen, Carina ; Ferrari, Jean Vicente
Source: Heliyon. Unidade: EP
Subjects: PROPRIEDADES FÍSICAS DAS ROCHAS, ROCHAS SEDIMENTARES
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ABNT
ARISMENDI FLOREZ, Jhonatan Jair et al. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs. Heliyon, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.heliyon.2023.e18219. Acesso em: 11 set. 2024.
APA
Arismendi Florez, J. J., Michelon, M. F., Ulsen, C., & Ferrari, J. V. (2023). Influence of base material particle features on petrophysical properties of synthetic carbonate plugs. Heliyon. doi:10.1016/j.heliyon.2023.e18219
NLM
Arismendi Florez JJ, Michelon MF, Ulsen C, Ferrari JV. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs [Internet]. Heliyon. 2023 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.heliyon.2023.e18219
Vancouver
Arismendi Florez JJ, Michelon MF, Ulsen C, Ferrari JV. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs [Internet]. Heliyon. 2023 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.heliyon.2023.e18219
Artigo de periodico
Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension (2023)
Gioria, Rafael dos Santos ; Silveira, Bruno Marco de Oliveira; Skinner, Rodrigo; Ulsen, Carina ; Carneiro, Cleyton de Carvalho ; Ferrari, Jean Vicente
Source: Geoenergy Science and Engineering. Unidade: EP
Subjects: CARACTERIZAÇÃO TECNOLÓGICA DE ROCHAS, RESERVATÓRIOS DE PETRÓLEO, TENSÃO INTERFACIAL
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ABNT
GIORIA, Rafael dos Santos et al. Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension. Geoenergy Science and Engineering, v. 231, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2023.212444. Acesso em: 11 set. 2024.
APA
Gioria, R. dos S., Silveira, B. M. de O., Skinner, R., Ulsen, C., Carneiro, C. de C., & Ferrari, J. V. (2023). Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension. Geoenergy Science and Engineering, 231. doi:10.1016/j.geoen.2023.212444
NLM
Gioria R dos S, Silveira BM de O, Skinner R, Ulsen C, Carneiro C de C, Ferrari JV. Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension [Internet]. Geoenergy Science and Engineering. 2023 ;231[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.geoen.2023.212444
Vancouver
Gioria R dos S, Silveira BM de O, Skinner R, Ulsen C, Carneiro C de C, Ferrari JV. Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension [Internet]. Geoenergy Science and Engineering. 2023 ;231[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.geoen.2023.212444
Artigo de periodico
Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces (2022)
Silveira, Bruno Marco de Oliveira; Ulsen, Carina ; Carneiro, Cleyton de Carvalho ; Ferrari, Jean Vicente ; Gioria, Rafael dos Santos ; Arismendi Florez, Jhonatan Jair; Fagundes, Thais Bortotti; Silva, Mayara Antunes da Trindade; Skinner, Rodrigo
Source: Fuel The Science and Technology of Fuel and Energy. Unidade: EP
Subjects: PRÉ-SAL, MINERAIS
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ABNT
SILVEIRA, Bruno Marco de Oliveira et al. Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces. Fuel The Science and Technology of Fuel and Energy, v. 310, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.fuel.2021.122414. Acesso em: 11 set. 2024.
APA
Silveira, B. M. de O., Ulsen, C., Carneiro, C. de C., Ferrari, J. V., Gioria, R. dos S., Arismendi Florez, J. J., et al. (2022). Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces. Fuel The Science and Technology of Fuel and Energy, 310. doi:10.1016/j.fuel.2021.122414
NLM
Silveira BM de O, Ulsen C, Carneiro C de C, Ferrari JV, Gioria R dos S, Arismendi Florez JJ, Fagundes TB, Silva MA da T, Skinner R. Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces [Internet]. Fuel The Science and Technology of Fuel and Energy. 2022 ; 310[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.fuel.2021.122414
Vancouver
Silveira BM de O, Ulsen C, Carneiro C de C, Ferrari JV, Gioria R dos S, Arismendi Florez JJ, Fagundes TB, Silva MA da T, Skinner R. Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces [Internet]. Fuel The Science and Technology of Fuel and Energy. 2022 ; 310[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.fuel.2021.122414
Artigo de periodico
A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements (2021)
Poli, Renato Espirito Basso; Gioria, Rafael dos Santos ; Carrion, Ronaldo
Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EP
Subjects: MÉTODO DOS ELEMENTOS FINITOS, MECÂNICA DA FRATURA, MECÂNICA DE ROCHAS, ÓLEO E GAS
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ABNT
POLI, Renato Espirito Basso e GIORIA, Rafael dos Santos e CARRION, Ronaldo. A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 43, n. 175 , 2021Tradução . . Disponível em: https://doi.org/10.1007/s40430-020-02787-4. Acesso em: 11 set. 2024.
APA
Poli, R. E. B., Gioria, R. dos S., & Carrion, R. (2021). A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43( 175 ). doi:10.1007/s40430-020-02787-4
NLM
Poli REB, Gioria R dos S, Carrion R. A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43( 175 ):[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/s40430-020-02787-4
Vancouver
Poli REB, Gioria R dos S, Carrion R. A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43( 175 ):[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/s40430-020-02787-4
Artigo de periodico
An experimental study of gas solubility in glycerin based drilling fluid applied to well control (2021)
Duarte, Antonio Carlos Magalhães; Ribeiro, Paulo R; KIM, Nilo Ricardo; Mendes, José Ricardo Pelaquim; Policarpo, Nara Angélica; Vianna, Angelo
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PERFURAÇÃO DE POÇOS, FLUÍDOS DE PERFURAÇÃO, SOLUBILIDADE
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ABNT
DUARTE, Antonio Carlos Magalhães et al. An experimental study of gas solubility in glycerin based drilling fluid applied to well control. Journal of Petroleum Science and Engineering, v. 207, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2021.109194. Acesso em: 11 set. 2024.
APA
Duarte, A. C. M., Ribeiro, P. R., KIM, N. R., Mendes, J. R. P., Policarpo, N. A., & Vianna, A. (2021). An experimental study of gas solubility in glycerin based drilling fluid applied to well control. Journal of Petroleum Science and Engineering, 207. doi:10.1016/j.petrol.2021.109194
NLM
Duarte ACM, Ribeiro PR, KIM NR, Mendes JRP, Policarpo NA, Vianna A. An experimental study of gas solubility in glycerin based drilling fluid applied to well control [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.petrol.2021.109194
Vancouver
Duarte ACM, Ribeiro PR, KIM NR, Mendes JRP, Policarpo NA, Vianna A. An experimental study of gas solubility in glycerin based drilling fluid applied to well control [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.petrol.2021.109194
Artigo de periodico
Industry 4.0 and the future of reservoir exploration and characterization (2021)
Oliveira, Lucas Abreu Blanes de; Carneiro, Cleyton de Carvalho
Source: Trends in Petroleum Engineering. Unidade: EP
Assunto: INDÚSTRIA 4.0 PETRÓLEO
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ABNT
OLIVEIRA, Lucas Abreu Blanes de e CARNEIRO, Cleyton de Carvalho. Industry 4.0 and the future of reservoir exploration and characterization. Trends in Petroleum Engineering, v. 1, n. 1, p. 1-3, 2021Tradução . . Disponível em: https://doi.org/10.53902/TPE.2021.01.000504. Acesso em: 11 set. 2024.
APA
Oliveira, L. A. B. de, & Carneiro, C. de C. (2021). Industry 4.0 and the future of reservoir exploration and characterization. Trends in Petroleum Engineering, 1( 1), 1-3. doi:10.53902/TPE.2021.01.000504
NLM
Oliveira LAB de, Carneiro C de C. Industry 4.0 and the future of reservoir exploration and characterization [Internet]. Trends in Petroleum Engineering. 2021 ;1( 1): 1-3.[citado 2024 set. 11 ] Available from: https://doi.org/10.53902/TPE.2021.01.000504
Vancouver
Oliveira LAB de, Carneiro C de C. Industry 4.0 and the future of reservoir exploration and characterization [Internet]. Trends in Petroleum Engineering. 2021 ;1( 1): 1-3.[citado 2024 set. 11 ] Available from: https://doi.org/10.53902/TPE.2021.01.000504
Artigo de periodico
Influence of carbonate reservoir mineral heterogeneities on contact angle measurements (2021)
Ferrari, Jean Vicente ; Silveira, Bruno Marco de Oliveira; Arismendi Florez, Jhonatan Jair; Fagundes, Thais Bortotti; Silva, Mayara Antunes da Trindade; Skinner, Rodrigo; Ulsen, Carina ; Carneiro, Cleyton de Carvalho
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PRÉ-SAL, MINERAIS, CARBONATOS, CARBONATOS
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ABNT
FERRARI, Jean Vicente et al. Influence of carbonate reservoir mineral heterogeneities on contact angle measurements. Journal of Petroleum Science and Engineering, v. 199, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2020.108313. Acesso em: 11 set. 2024.
APA
Ferrari, J. V., Silveira, B. M. de O., Arismendi Florez, J. J., Fagundes, T. B., Silva, M. A. da T., Skinner, R., et al. (2021). Influence of carbonate reservoir mineral heterogeneities on contact angle measurements. Journal of Petroleum Science and Engineering, 199. doi:10.1016/j.petrol.2020.108313
NLM
Ferrari JV, Silveira BM de O, Arismendi Florez JJ, Fagundes TB, Silva MA da T, Skinner R, Ulsen C, Carneiro C de C. Influence of carbonate reservoir mineral heterogeneities on contact angle measurements [Internet]. Journal of Petroleum Science and Engineering. 2021 ;199[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.petrol.2020.108313
Vancouver
Ferrari JV, Silveira BM de O, Arismendi Florez JJ, Fagundes TB, Silva MA da T, Skinner R, Ulsen C, Carneiro C de C. Influence of carbonate reservoir mineral heterogeneities on contact angle measurements [Internet]. Journal of Petroleum Science and Engineering. 2021 ;199[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.petrol.2020.108313
Artigo de periodico
Preliminary analyses of synthetic carbonate plugs: consolidation, petrophysical and wettability properties (2021)
Arismendi Florez, Jhonatan Jair; Ferrari, Jean Vicente
Source: Oil & Gas Science and Technology - Rev. IFP Energies nouvelles. Unidade: EP
Subjects: PROCESSAMENTO MINERAL, RESERVATÓRIOS DE PETRÓLEO
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ABNT
ARISMENDI FLOREZ, Jhonatan Jair e FERRARI, Jean Vicente. Preliminary analyses of synthetic carbonate plugs: consolidation, petrophysical and wettability properties. Oil & Gas Science and Technology - Rev. IFP Energies nouvelles, v. 76, p. 14 article 12, 2021Tradução . . Disponível em: https://doi.org/10.2516/ogst/2020087. Acesso em: 11 set. 2024.
APA
Arismendi Florez, J. J., & Ferrari, J. V. (2021). Preliminary analyses of synthetic carbonate plugs: consolidation, petrophysical and wettability properties. Oil & Gas Science and Technology - Rev. IFP Energies nouvelles, 76, 14 article 12. doi:10.2516/ogst/2020087
NLM
Arismendi Florez JJ, Ferrari JV. Preliminary analyses of synthetic carbonate plugs: consolidation, petrophysical and wettability properties [Internet]. Oil & Gas Science and Technology - Rev. IFP Energies nouvelles. 2021 ; 76 14 article 12.[citado 2024 set. 11 ] Available from: https://doi.org/10.2516/ogst/2020087
Vancouver
Arismendi Florez JJ, Ferrari JV. Preliminary analyses of synthetic carbonate plugs: consolidation, petrophysical and wettability properties [Internet]. Oil & Gas Science and Technology - Rev. IFP Energies nouvelles. 2021 ; 76 14 article 12.[citado 2024 set. 11 ] Available from: https://doi.org/10.2516/ogst/2020087
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
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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: 11 set. 2024.
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 2024 set. 11 ] 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 2024 set. 11 ] Available from: https://doi.org/10.2516/ogst/2020094
Trabalho de evento
Discussion of Oxygen Threshold Level for Corrosion Management in Seawater Injection Systems (2021)
Ferrari, Jean Vicente
Conference titles: SPE International Oilfield Corrosion Conference and Exhibition. Unidade: EP
Subjects: CORROSÃO, INIBIDORES DE CORROSÃO
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ABNT
FERRARI, Jean Vicente. Discussion of Oxygen Threshold Level for Corrosion Management in Seawater Injection Systems. 2021, Anais.. United States of America: SPE International Oilfield Corrosion Conference and Exhibition, 2021. Disponível em: https://doi.org/10.2118/205041-MS. Acesso em: 11 set. 2024.
APA
Ferrari, J. V. (2021). Discussion of Oxygen Threshold Level for Corrosion Management in Seawater Injection Systems. In . United States of America: SPE International Oilfield Corrosion Conference and Exhibition. doi:10.2118/205041-MS
NLM
Ferrari JV. Discussion of Oxygen Threshold Level for Corrosion Management in Seawater Injection Systems [Internet]. 2021 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.2118/205041-MS
Vancouver
Ferrari JV. Discussion of Oxygen Threshold Level for Corrosion Management in Seawater Injection Systems [Internet]. 2021 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.2118/205041-MS
Trabalho de evento
Adjustment of relative permeability curves parameters by supervised artificial neural networks (2020)
Spada, Nathalia Seiler; Carneiro, Cleyton de Carvalho ; Gioria, Rafael dos Santos
Source: Rio Oil & Gas Expo and Conference. Conference titles: Rio Oil & Gas Expo and Conference. Unidade: EP
Subjects: REDES NEURAIS, RESERVATÓRIOS DE PETRÓLEO
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ABNT
SPADA, Nathalia Seiler e CARNEIRO, Cleyton de Carvalho e GIORIA, Rafael dos Santos. Adjustment of relative permeability curves parameters by supervised artificial neural networks. 2020, Anais.. São Paulo: Escola Politécnica, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.48072/2525-7579.ROG.2020.040. Acesso em: 11 set. 2024.
APA
Spada, N. S., Carneiro, C. de C., & Gioria, R. dos S. (2020). Adjustment of relative permeability curves parameters by supervised artificial neural networks. In Rio Oil & Gas Expo and Conference. São Paulo: Escola Politécnica, Universidade de São Paulo. doi:10.48072/2525-7579.ROG.2020.040
NLM
Spada NS, Carneiro C de C, Gioria R dos S. Adjustment of relative permeability curves parameters by supervised artificial neural networks [Internet]. Rio Oil & Gas Expo and Conference. 2020 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.48072/2525-7579.ROG.2020.040
Vancouver
Spada NS, Carneiro C de C, Gioria R dos S. Adjustment of relative permeability curves parameters by supervised artificial neural networks [Internet]. Rio Oil & Gas Expo and Conference. 2020 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.48072/2525-7579.ROG.2020.040
Trabalho de evento
Geração de perfis sintéticos em reservatórios carbonáticos a partir de algoritmos de aprendizagem de máquinas (2020)
Oliveira, Lucas Abreu Blanes de; Carneiro, Cleyton de Carvalho
Source: Rio Oil & Gas Expo and Conference. Conference titles: Rio Oil & Gas Expo and Conference. Unidade: EP
Subjects: ESPECTROSCOPIA ATÔMICA, PRÉ-SAL, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Lucas Abreu Blanes de e CARNEIRO, Cleyton de Carvalho. Geração de perfis sintéticos em reservatórios carbonáticos a partir de algoritmos de aprendizagem de máquinas. 2020, Anais.. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.48072/2525-7579.ROG.2020.009. Acesso em: 11 set. 2024.
APA
Oliveira, L. A. B. de, & Carneiro, C. de C. (2020). Geração de perfis sintéticos em reservatórios carbonáticos a partir de algoritmos de aprendizagem de máquinas. In Rio Oil & Gas Expo and Conference. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo. doi:10.48072/2525-7579.ROG.2020.009
NLM
Oliveira LAB de, Carneiro C de C. Geração de perfis sintéticos em reservatórios carbonáticos a partir de algoritmos de aprendizagem de máquinas [Internet]. Rio Oil & Gas Expo and Conference. 2020 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.48072/2525-7579.ROG.2020.009
Vancouver
Oliveira LAB de, Carneiro C de C. Geração de perfis sintéticos em reservatórios carbonáticos a partir de algoritmos de aprendizagem de máquinas [Internet]. Rio Oil & Gas Expo and Conference. 2020 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.48072/2525-7579.ROG.2020.009
Trabalho de evento-anais periodico
Estudo da alteração da molhabilidade em rochas carbonáticas sob injeção de água calibrada (2020)
Camargo, Thales Simao do Amaral; Pinto, Marcio Augusto Sampaio
Source: Proceedings. Conference titles: Rio Oil & Gas Expo and Conference. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, ROCHAS SEDIMENTARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAMARGO, Thales Simao do Amaral e PINTO, Marcio Augusto Sampaio. Estudo da alteração da molhabilidade em rochas carbonáticas sob injeção de água calibrada. Proceedings. Rio de Janeiro: IBP. Disponível em: https://doi.org/10.48072/2525-7579.rog.2020.041. Acesso em: 11 set. 2024. , 2020
APA
Camargo, T. S. do A., & Pinto, M. A. S. (2020). Estudo da alteração da molhabilidade em rochas carbonáticas sob injeção de água calibrada. Proceedings. Rio de Janeiro: IBP. doi:10.48072/2525-7579.rog.2020.041
NLM
Camargo TS do A, Pinto MAS. Estudo da alteração da molhabilidade em rochas carbonáticas sob injeção de água calibrada [Internet]. Proceedings. 2020 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.041
Vancouver
Camargo TS do A, Pinto MAS. Estudo da alteração da molhabilidade em rochas carbonáticas sob injeção de água calibrada [Internet]. Proceedings. 2020 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.041
Trabalho de evento
Effect of scaling and corrosion inhibitors on the static adsorption of an anionic surfactant on a carbonate rock (2019)
Gutiérrez Rengifo, Mary Ellen del Carmen; Gaona Osorio, Silvia Juliana; Calvete, Fernando Enrique; Botett, Jesus Alberto; Ferrari, Jean Vicente
Conference titles: SPE International Conference on Oilfield Chemistry. Unidade: EP
Subjects: CORROSÃO, INIBIDORES DE CORROSÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUTIÉRREZ RENGIFO, Mary Ellen del Carmen et al. Effect of scaling and corrosion inhibitors on the static adsorption of an anionic surfactant on a carbonate rock. 2019, Anais.. Galveston, Texas, USA,: SPE International Conference on Oilfield Chemistry, 2019. Disponível em: https://doi.org/10.2118/193546-MS. Acesso em: 11 set. 2024.
APA
Gutiérrez Rengifo, M. E. del C., Gaona Osorio, S. J., Calvete, F. E., Botett, J. A., & Ferrari, J. V. (2019). Effect of scaling and corrosion inhibitors on the static adsorption of an anionic surfactant on a carbonate rock. In . Galveston, Texas, USA,: SPE International Conference on Oilfield Chemistry. doi:10.2118/193546-MS
NLM
Gutiérrez Rengifo ME del C, Gaona Osorio SJ, Calvete FE, Botett JA, Ferrari JV. Effect of scaling and corrosion inhibitors on the static adsorption of an anionic surfactant on a carbonate rock [Internet]. 2019 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.2118/193546-MS
Vancouver
Gutiérrez Rengifo ME del C, Gaona Osorio SJ, Calvete FE, Botett JA, Ferrari JV. Effect of scaling and corrosion inhibitors on the static adsorption of an anionic surfactant on a carbonate rock [Internet]. 2019 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.2118/193546-MS
Artigo de periodico
Digital petrography: Mineralogy and porosity identification using machine learning algorithms in petrographic thin section images (2019)
Rubo, Rafael Andrello; Carneiro, Cleyton de Carvalho ; Michelon, Mateus Fontana; Gioria, Rafael dos Santos
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, PETROGRAFIA, ROCHAS SEDIMENTARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUBO, Rafael Andrello et al. Digital petrography: Mineralogy and porosity identification using machine learning algorithms in petrographic thin section images. Journal of Petroleum Science and Engineering, v. 183, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2019.106382. Acesso em: 11 set. 2024.
APA
Rubo, R. A., Carneiro, C. de C., Michelon, M. F., & Gioria, R. dos S. (2019). Digital petrography: Mineralogy and porosity identification using machine learning algorithms in petrographic thin section images. Journal of Petroleum Science and Engineering, 183. doi:10.1016/j.petrol.2019.106382
NLM
Rubo RA, Carneiro C de C, Michelon MF, Gioria R dos S. Digital petrography: Mineralogy and porosity identification using machine learning algorithms in petrographic thin section images [Internet]. Journal of Petroleum Science and Engineering. 2019 ;183[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.petrol.2019.106382
Vancouver
Rubo RA, Carneiro C de C, Michelon MF, Gioria R dos S. Digital petrography: Mineralogy and porosity identification using machine learning algorithms in petrographic thin section images [Internet]. Journal of Petroleum Science and Engineering. 2019 ;183[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.petrol.2019.106382

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