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Artigo de periodico
On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems (2024)
Azevedo, Anderson Soares da Costa; Ranjbarzadeh, Shahin ; Gioria, Rafael dos Santos ; Silva, Emílio Carlos Nelli ; Sanches, Renato Picelli
Source: Applied Mathematical Modeling. Unidade: EP
Subjects: TOPOLOGIA, INTERAÇÃO FLUIDO-ESTRUTURA, INTERPOLAÇÃO
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ABNT
AZEVEDO, Anderson Soares da Costa et al. On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems. Applied Mathematical Modeling, v. 127, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.apm.2023.11.024. Acesso em: 23 abr. 2024.
APA
Azevedo, A. S. da C., Ranjbarzadeh, S., Gioria, R. dos S., Silva, E. C. N., & Sanches, R. P. (2024). On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems. Applied Mathematical Modeling, 127, 1-17. doi:10.1016/j.apm.2023.11.024
NLM
Azevedo AS da C, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Sanches RP. On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems [Internet]. Applied Mathematical Modeling. 2024 ; 127 1-17.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.apm.2023.11.024
Vancouver
Azevedo AS da C, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Sanches RP. On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems [Internet]. Applied Mathematical Modeling. 2024 ; 127 1-17.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.apm.2023.11.024
Artigo de periodico
Topology optimization for stationary fluid–structure interaction problems with turbulent flow via sequential integer linear programming and smooth explicit boundaries. (2024)
Siqueira, Lucas O.; Cortez, Rômulo Luz; Sivapuram, Raghavendra; Ranjbarzadeh, Shahin ; Gioria, Rafael dos Santos ; Silva, Emílio Carlos Nelli ; Picelli, Renato
Source: Advances in Engineering Software. Unidade: EP
Subjects: TURBULÊNCIA, PROGRAMAÇÃO LINEAR, TOPOLOGIA
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ABNT
SIQUEIRA, Lucas O. et al. Topology optimization for stationary fluid–structure interaction problems with turbulent flow via sequential integer linear programming and smooth explicit boundaries. Advances in Engineering Software, v. Fe 2024, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.advengsoft.2024.103599. Acesso em: 23 abr. 2024.
APA
Siqueira, L. O., Cortez, R. L., Sivapuram, R., Ranjbarzadeh, S., Gioria, R. dos S., Silva, E. C. N., & Picelli, R. (2024). Topology optimization for stationary fluid–structure interaction problems with turbulent flow via sequential integer linear programming and smooth explicit boundaries. Advances in Engineering Software, Fe 2024, 1-20. doi:10.1016/j.advengsoft.2024.103599
NLM
Siqueira LO, Cortez RL, Sivapuram R, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Picelli R. Topology optimization for stationary fluid–structure interaction problems with turbulent flow via sequential integer linear programming and smooth explicit boundaries. [Internet]. Advances in Engineering Software. 2024 ; Fe 2024 1-20.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.advengsoft.2024.103599
Vancouver
Siqueira LO, Cortez RL, Sivapuram R, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Picelli R. Topology optimization for stationary fluid–structure interaction problems with turbulent flow via sequential integer linear programming and smooth explicit boundaries. [Internet]. Advances in Engineering Software. 2024 ; Fe 2024 1-20.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.advengsoft.2024.103599
Artigo de periodico
Spectral recomposition for optimizing starting points in Full-Waveform Inversion (2023)
Zuniga, Nelson Ricardo Coelho Flores ; Gioria, Rafael dos Santos ; Carmo, Bruno Souza
Source: Journal of applied geophysics. Unidade: EP
Subjects: MÉTODO DOS ELEMENTOS FINITOS, ANÁLISE DE ONDALETAS
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ABNT
ZUNIGA, Nelson Ricardo Coelho Flores e GIORIA, Rafael dos Santos e CARMO, Bruno Souza. Spectral recomposition for optimizing starting points in Full-Waveform Inversion. Journal of applied geophysics, v. 215, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jappgeo.2023.105120. Acesso em: 23 abr. 2024.
APA
Zuniga, N. R. C. F., Gioria, R. dos S., & Carmo, B. S. (2023). Spectral recomposition for optimizing starting points in Full-Waveform Inversion. Journal of applied geophysics, 215. doi:10.1016/j.jappgeo.2023.105120
NLM
Zuniga NRCF, Gioria R dos S, Carmo BS. Spectral recomposition for optimizing starting points in Full-Waveform Inversion [Internet]. Journal of applied geophysics. 2023 ;215[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.105120
Vancouver
Zuniga NRCF, Gioria R dos S, Carmo BS. Spectral recomposition for optimizing starting points in Full-Waveform Inversion [Internet]. Journal of applied geophysics. 2023 ;215[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.105120
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: 23 abr. 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 abr. 23 ] 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 abr. 23 ] Available from: https://doi.org/10.3390/en16134849
Artigo de periodico
Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations (2023)
Tamoto, Hugo; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Geoenergy Science and Engineering. Unidade: EP
Subjects: CARBONATOS, RESERVATÓRIOS, WIRELESS
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ABNT
TAMOTO, Hugo e GIORIA, Rafael dos Santos e CARNEIRO, Cleyton de Carvalho. Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations. Geoenergy Science and Engineering, v. 229, p. 1-8, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2023.212138. Acesso em: 23 abr. 2024.
APA
Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2023). Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations. Geoenergy Science and Engineering, 229, 1-8. doi:10.1016/j.geoen.2023.212138
NLM
Tamoto H, Gioria R dos S, Carneiro C de C. Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations [Internet]. Geoenergy Science and Engineering. 2023 ;229 1-8.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.geoen.2023.212138
Vancouver
Tamoto H, Gioria R dos S, Carneiro C de C. Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations [Internet]. Geoenergy Science and Engineering. 2023 ;229 1-8.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.geoen.2023.212138
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: 23 abr. 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 abr. 23 ] 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 abr. 23 ] Available from: https://doi.org/10.1016/j.geoen.2023.212444
Artigo de periodico
Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models (2023)
Tamoto, Hugo; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL
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ABNT
TAMOTO, Hugo e GIORIA, Rafael dos Santos e CARNEIRO, Cleyton de Carvalho. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, v. 220, p. 10 , 2023Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111169. Acesso em: 23 abr. 2024.
APA
Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2023). Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, 220, 10 . doi:10.1016/j.petrol.2022.111169
NLM
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2023 ; 220 10 .[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
Vancouver
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2023 ; 220 10 .[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
Parte de monografia/livro
Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models (2023)
Tamoto, Hugo; Contreras, Rodrigo Colnago ; Santos, Francisco Lledo dos ; Viana, Monique Simplicio ; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Artificial Intelligence and Soft Computing. Conference titles: International Conference on Artificial Intelligence and Soft Computing. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, POÇOS
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ABNT
TAMOTO, Hugo et al. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models. Artificial Intelligence and Soft Computing. Tradução . Suica: Escola Politécnica, Universidade de São Paulo, 2023. v. 13588. p. 115–130. Disponível em: https://doi.org/10.1007/978-3-031-23492-7_11. Acesso em: 23 abr. 2024.
APA
Tamoto, H., Contreras, R. C., Santos, F. L. dos, Viana, M. S., Gioria, R. dos S., & Carneiro, C. de C. (2023). Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models. In Artificial Intelligence and Soft Computing (Vol. 13588, p. 115–130). Suica: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-23492-7_11
NLM
Tamoto H, Contreras RC, Santos FL dos, Viana MS, Gioria R dos S, Carneiro C de C. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models [Internet]. In: Artificial Intelligence and Soft Computing. Suica: Escola Politécnica, Universidade de São Paulo; 2023. p. 115–130.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/978-3-031-23492-7_11
Vancouver
Tamoto H, Contreras RC, Santos FL dos, Viana MS, Gioria R dos S, Carneiro C de C. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models [Internet]. In: Artificial Intelligence and Soft Computing. Suica: Escola Politécnica, Universidade de São Paulo; 2023. p. 115–130.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/978-3-031-23492-7_11
Artigo de periodico
IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling (2023)
Gouvêa, Rodrigo César Teixeira de; Gioria, Rafael dos Santos ; Marques, Gustavo Rodovalho; Carneiro, Cleyton de Carvalho
Source: Software Impacts. Unidade: EP
Subjects: PYTHON, VISUALIZAÇÃO
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ABNT
GOUVÊA, Rodrigo César Teixeira de et al. IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling. Software Impacts, v. 17, p. 6 , 2023Tradução . . Disponível em: https://doi.org/10.1016/j.simpa.2023.100570. Acesso em: 23 abr. 2024.
APA
Gouvêa, R. C. T. de, Gioria, R. dos S., Marques, G. R., & Carneiro, C. de C. (2023). IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling. Software Impacts, 17, 6 . doi:10.1016/j.simpa.2023.100570
NLM
Gouvêa RCT de, Gioria R dos S, Marques GR, Carneiro C de C. IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling [Internet]. Software Impacts. 2023 ; 17 6 .[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.simpa.2023.100570
Vancouver
Gouvêa RCT de, Gioria R dos S, Marques GR, Carneiro C de C. IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling [Internet]. Software Impacts. 2023 ; 17 6 .[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.simpa.2023.100570
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: 23 abr. 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 abr. 23 ] 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 abr. 23 ] Available from: https://doi.org/10.1016/j.fuel.2021.122414
Trabalho de evento
Efficient and accurate thermoporoelastic fracture simulation based on adaptive multimeshing (2022)
Poli, Renato Espirito Basso; Roseno, Karina Tamião de Campos ; Gioria, Rafael dos Santos ; Carrion, Ronaldo
Source: Proceedings. Conference titles: US Rock Mechanics/Geomechanics Symposium. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, MECÂNICA DE ROCHAS
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ABNT
POLI, Renato Espirito Basso et al. Efficient and accurate thermoporoelastic fracture simulation based on adaptive multimeshing. 2022, Anais.. Santa Fé, NM: Escola Politécnica, Universidade de São Paulo, 2022. Disponível em: https://doi.org/10.56952/ARMA-2022-2359. Acesso em: 23 abr. 2024.
APA
Poli, R. E. B., Roseno, K. T. de C., Gioria, R. dos S., & Carrion, R. (2022). Efficient and accurate thermoporoelastic fracture simulation based on adaptive multimeshing. In Proceedings. Santa Fé, NM: Escola Politécnica, Universidade de São Paulo. doi:10.56952/ARMA-2022-2359
NLM
Poli REB, Roseno KT de C, Gioria R dos S, Carrion R. Efficient and accurate thermoporoelastic fracture simulation based on adaptive multimeshing [Internet]. Proceedings. 2022 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.56952/ARMA-2022-2359
Vancouver
Poli REB, Roseno KT de C, Gioria R dos S, Carrion R. Efficient and accurate thermoporoelastic fracture simulation based on adaptive multimeshing [Internet]. Proceedings. 2022 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.56952/ARMA-2022-2359
Artigo de periodico
Hybrid geometry trimming algorithm based on Integer Linear Programming for fluid flow topology optimization (2022)
Souza, Eduardo Moscatelli de ; Sá, Luís Fernando Nogueira de ; Ranjbarzadeh, Shahin ; Sanches, Renato Picelli ; Gioria, Rafael dos Santos ; Silva, Emílio Carlos Nelli
Source: Computers & Fluids. Unidade: EP
Subjects: MÉTODOS TOPOLÓGICOS, TOPOLOGIA, INTERAÇÃO FLUIDO-ESTRUTURA, FLUXO LAMINAR DOS FLUÍDOS, MÉTODO DOS ELEMENTOS FINITOS
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ABNT
SOUZA, Eduardo Moscatelli de et al. Hybrid geometry trimming algorithm based on Integer Linear Programming for fluid flow topology optimization. Computers & Fluids, v. 244, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compfluid.2022.105561. Acesso em: 23 abr. 2024.
APA
Souza, E. M. de, Sá, L. F. N. de, Ranjbarzadeh, S., Sanches, R. P., Gioria, R. dos S., & Silva, E. C. N. (2022). Hybrid geometry trimming algorithm based on Integer Linear Programming for fluid flow topology optimization. Computers & Fluids, 244. doi:10.1016/j.compfluid.2022.105561
NLM
Souza EM de, Sá LFN de, Ranjbarzadeh S, Sanches RP, Gioria R dos S, Silva ECN. Hybrid geometry trimming algorithm based on Integer Linear Programming for fluid flow topology optimization [Internet]. Computers & Fluids. 2022 ; 244[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.compfluid.2022.105561
Vancouver
Souza EM de, Sá LFN de, Ranjbarzadeh S, Sanches RP, Gioria R dos S, Silva ECN. Hybrid geometry trimming algorithm based on Integer Linear Programming for fluid flow topology optimization [Internet]. Computers & Fluids. 2022 ; 244[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.compfluid.2022.105561
Artigo de periodico
Data-driven technique estimates skin factor and average pressure during oil-flowing periods (2022)
Kubota, Leonardo Kenji; Gioria, Rafael dos Santos
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Assunto: ÓLEO E GAS
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ABNT
KUBOTA, Leonardo Kenji e GIORIA, Rafael dos Santos. Data-driven technique estimates skin factor and average pressure during oil-flowing periods. Journal of Petroleum Science and Engineering, v. 219, p. 17, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111061. Acesso em: 23 abr. 2024.
APA
Kubota, L. K., & Gioria, R. dos S. (2022). Data-driven technique estimates skin factor and average pressure during oil-flowing periods. Journal of Petroleum Science and Engineering, 219, 17. doi:10.1016/j.petrol.2022.111061
NLM
Kubota LK, Gioria R dos S. Data-driven technique estimates skin factor and average pressure during oil-flowing periods [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 219 17.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.petrol.2022.111061
Vancouver
Kubota LK, Gioria R dos S. Data-driven technique estimates skin factor and average pressure during oil-flowing periods [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 219 17.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.petrol.2022.111061
Artigo de periodico
Topology optimization of turbulent fluid flow via the TOBS method and a geometry trimming procedure (2022)
Sanches, Renato Picelli ; Souza, Eduardo Moscatelli de ; Yamabe, Paulo Vinícius Miyuki ; Alonso, Diego Hayashi ; Ranjbarzadeh, Shahin ; Gioria, Rafael dos Santos ; Meneghini, Julio Romano ; Silva, Emílio Carlos Nelli
Source: Structural and Multidisciplinary Optimization. Unidade: EP
Subjects: MÉTODOS TOPOLÓGICOS, TOPOLOGIA, INTERAÇÃO FLUIDO-ESTRUTURA, FLUXO LAMINAR DOS FLUÍDOS
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ABNT
SANCHES, Renato Picelli et al. Topology optimization of turbulent fluid flow via the TOBS method and a geometry trimming procedure. Structural and Multidisciplinary Optimization, v. 65, n. 34, p. 1-34, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00158-021-03118-4. Acesso em: 23 abr. 2024.
APA
Sanches, R. P., Souza, E. M. de, Yamabe, P. V. M., Alonso, D. H., Ranjbarzadeh, S., Gioria, R. dos S., et al. (2022). Topology optimization of turbulent fluid flow via the TOBS method and a geometry trimming procedure. Structural and Multidisciplinary Optimization, 65( 34), 1-34. doi:10.1007/s00158-021-03118-4
NLM
Sanches RP, Souza EM de, Yamabe PVM, Alonso DH, Ranjbarzadeh S, Gioria R dos S, Meneghini JR, Silva ECN. Topology optimization of turbulent fluid flow via the TOBS method and a geometry trimming procedure [Internet]. Structural and Multidisciplinary Optimization. 2022 ; 65( 34): 1-34.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00158-021-03118-4
Vancouver
Sanches RP, Souza EM de, Yamabe PVM, Alonso DH, Ranjbarzadeh S, Gioria R dos S, Meneghini JR, Silva ECN. Topology optimization of turbulent fluid flow via the TOBS method and a geometry trimming procedure [Internet]. Structural and Multidisciplinary Optimization. 2022 ; 65( 34): 1-34.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00158-021-03118-4
Artigo de periodico
spyro: a firedrake-based wave propagation and full waveform inversion finite element solver (2022)
Roberts, Keith Jared; Olender, Alexandre Ferreira Guedes; Franceschini, Lucas; Kirby, Robert C.; Gioria, Rafael dos Santos ; Carmo, Bruno Souza
Source: Geoscientific model development. Unidade: EP
Subjects: MÉTODO DOS ELEMENTOS FINITOS, ONDAS
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ABNT
ROBERTS, Keith Jared et al. spyro: a firedrake-based wave propagation and full waveform inversion finite element solver. Geoscientific model development, v. 15, n. 23, 2022Tradução . . Disponível em: https://doi.org/10.5194/gmd-15-8639-2022. Acesso em: 23 abr. 2024.
APA
Roberts, K. J., Olender, A. F. G., Franceschini, L., Kirby, R. C., Gioria, R. dos S., & Carmo, B. S. (2022). spyro: a firedrake-based wave propagation and full waveform inversion finite element solver. Geoscientific model development, 15( 23). doi:10.5194/gmd-15-8639-2022
NLM
Roberts KJ, Olender AFG, Franceschini L, Kirby RC, Gioria R dos S, Carmo BS. spyro: a firedrake-based wave propagation and full waveform inversion finite element solver [Internet]. Geoscientific model development. 2022 ; 15( 23):[citado 2024 abr. 23 ] Available from: https://doi.org/10.5194/gmd-15-8639-2022
Vancouver
Roberts KJ, Olender AFG, Franceschini L, Kirby RC, Gioria R dos S, Carmo BS. spyro: a firedrake-based wave propagation and full waveform inversion finite element solver [Internet]. Geoscientific model development. 2022 ; 15( 23):[citado 2024 abr. 23 ] Available from: https://doi.org/10.5194/gmd-15-8639-2022
Artigo de periodico
Topology optimization of structures subject to non-Newtonian fluid–structure interaction loads using integer linear programming (2022)
Ranjbarzadeh, Shahin ; Picelli, Raphael Ricomini; Gioria, Rafael dos Santos ; Silva, Emílio Carlos Nelli
Source: Finite Elements in Analysis and Design. Unidade: EP
Subjects: MÉTODO DOS ELEMENTOS FINITOS, MÉTODOS TOPOLÓGICOS, INTERAÇÃO FLUIDO-ESTRUTURA, FLUXO LAMINAR DOS FLUÍDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RANJBARZADEH, Shahin et al. Topology optimization of structures subject to non-Newtonian fluid–structure interaction loads using integer linear programming. Finite Elements in Analysis and Design, v. 202, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.finel.2021.103690. Acesso em: 23 abr. 2024.
APA
Ranjbarzadeh, S., Picelli, R. R., Gioria, R. dos S., & Silva, E. C. N. (2022). Topology optimization of structures subject to non-Newtonian fluid–structure interaction loads using integer linear programming. Finite Elements in Analysis and Design, 202. doi:10.1016/j.finel.2021.103690
NLM
Ranjbarzadeh S, Picelli RR, Gioria R dos S, Silva ECN. Topology optimization of structures subject to non-Newtonian fluid–structure interaction loads using integer linear programming [Internet]. Finite Elements in Analysis and Design. 2022 ; 202[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.finel.2021.103690
Vancouver
Ranjbarzadeh S, Picelli RR, Gioria R dos S, Silva ECN. Topology optimization of structures subject to non-Newtonian fluid–structure interaction loads using integer linear programming [Internet]. Finite Elements in Analysis and Design. 2022 ; 202[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.finel.2021.103690
Trabalho de evento-anais periodico
Similaridade entre perfis de poços de petróleo: uma abordagem a partir de ciência de dados e mapas auto-organizáveis (2022)
Carneiro, Cleyton de Carvalho ; Gouvêa, Rodrigo César Teixeira de; Gioria, Rafael dos Santos ; Paiva Neto, Afonso ; Aum, Pedro Tupã Pandava
Source: Anais eletrônicos. Conference titles: Congresso Brasileiro de P&D em Petróleo, Gás e Biocombustíveis – PDPETRO: O Papel da indústria do petróleo na transição energética.. Unidades: EP, ICMC
Assunto: POÇOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Cleyton de Carvalho et al. Similaridade entre perfis de poços de petróleo: uma abordagem a partir de ciência de dados e mapas auto-organizáveis. Anais eletrônicos. Campinas: Escola Politécnica, Universidade de São Paulo. Disponível em: https://proceedings.science/pdpetro-2022/trabalhos/similaridade-entre-perfis-de-pocos-de-petroleo-uma-abordagem-a-partir-de-ciencia?lang=pt-br. Acesso em: 23 abr. 2024. , 2022
APA
Carneiro, C. de C., Gouvêa, R. C. T. de, Gioria, R. dos S., Paiva Neto, A., & Aum, P. T. P. (2022). Similaridade entre perfis de poços de petróleo: uma abordagem a partir de ciência de dados e mapas auto-organizáveis. Anais eletrônicos. Campinas: Escola Politécnica, Universidade de São Paulo. Recuperado de https://proceedings.science/pdpetro-2022/trabalhos/similaridade-entre-perfis-de-pocos-de-petroleo-uma-abordagem-a-partir-de-ciencia?lang=pt-br
NLM
Carneiro C de C, Gouvêa RCT de, Gioria R dos S, Paiva Neto A, Aum PTP. Similaridade entre perfis de poços de petróleo: uma abordagem a partir de ciência de dados e mapas auto-organizáveis [Internet]. Anais eletrônicos. 2022 ;[citado 2024 abr. 23 ] Available from: https://proceedings.science/pdpetro-2022/trabalhos/similaridade-entre-perfis-de-pocos-de-petroleo-uma-abordagem-a-partir-de-ciencia?lang=pt-br
Vancouver
Carneiro C de C, Gouvêa RCT de, Gioria R dos S, Paiva Neto A, Aum PTP. Similaridade entre perfis de poços de petróleo: uma abordagem a partir de ciência de dados e mapas auto-organizáveis [Internet]. Anais eletrônicos. 2022 ;[citado 2024 abr. 23 ] Available from: https://proceedings.science/pdpetro-2022/trabalhos/similaridade-entre-perfis-de-pocos-de-petroleo-uma-abordagem-a-partir-de-ciencia?lang=pt-br
Artigo de periodico
Topology optimization of stationary fluid–structure interaction problems including large displacements via the TOBS-GT method (2022)
Silva, Kamilla Emily Santos; Sivapuram, Raghavendra; Ranjbarzadeh, Shahin ; Gioria, Rafael dos Santos ; Silva, Emílio Carlos Nelli ; Sanches, Renato Picelli
Source: Structural and Multidisciplinary Optimization. Unidade: EP
Subjects: MÉTODOS TOPOLÓGICOS, TOPOLOGIA, INTERAÇÃO FLUIDO-ESTRUTURA, FLUXO LAMINAR DOS FLUÍDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Kamilla Emily Santos et al. Topology optimization of stationary fluid–structure interaction problems including large displacements via the TOBS-GT method. Structural and Multidisciplinary Optimization, v. 65, n. 337, p. 18 2022, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00158-022-03442-3. Acesso em: 23 abr. 2024.
APA
Silva, K. E. S., Sivapuram, R., Ranjbarzadeh, S., Gioria, R. dos S., Silva, E. C. N., & Sanches, R. P. (2022). Topology optimization of stationary fluid–structure interaction problems including large displacements via the TOBS-GT method. Structural and Multidisciplinary Optimization, 65( 337), 18 2022. doi:10.1007/s00158-022-03442-3
NLM
Silva KES, Sivapuram R, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Sanches RP. Topology optimization of stationary fluid–structure interaction problems including large displacements via the TOBS-GT method [Internet]. Structural and Multidisciplinary Optimization. 2022 ; 65( 337): 18 2022.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00158-022-03442-3
Vancouver
Silva KES, Sivapuram R, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Sanches RP. Topology optimization of stationary fluid–structure interaction problems including large displacements via the TOBS-GT method [Internet]. Structural and Multidisciplinary Optimization. 2022 ; 65( 337): 18 2022.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00158-022-03442-3
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 23 abr. 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 abr. 23 ] 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 abr. 23 ] Available from: https://doi.org/10.1007/s40430-020-02787-4
Artigo de periodico
Optimization of liquid jet ejector geometry and its impact on flow fields (2021)
Reis, Livia Bueno; Gioria, Rafael dos Santos
Source: Applied Thermal Engineering. Unidade: EP
Subjects: INJEÇÃO (ENGENHARIA), DINÂMICA DOS FLUÍDOS COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS, Livia Bueno e GIORIA, Rafael dos Santos. Optimization of liquid jet ejector geometry and its impact on flow fields. Applied Thermal Engineering, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.applthermaleng.2021.117132. Acesso em: 23 abr. 2024.
APA
Reis, L. B., & Gioria, R. dos S. (2021). Optimization of liquid jet ejector geometry and its impact on flow fields. Applied Thermal Engineering. doi:10.1016/j.applthermaleng.2021.117132
NLM
Reis LB, Gioria R dos S. Optimization of liquid jet ejector geometry and its impact on flow fields [Internet]. Applied Thermal Engineering. 2021 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.applthermaleng.2021.117132
Vancouver
Reis LB, Gioria R dos S. Optimization of liquid jet ejector geometry and its impact on flow fields [Internet]. Applied Thermal Engineering. 2021 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.applthermaleng.2021.117132

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