ReP USP - Resultado da busca

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] Available from: https://doi.org/10.1016/j.apm.2023.11.024
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.105120
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] Available from: https://doi.org/10.1016/j.fuel.2021.122414
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] Available from: https://doi.org/10.1016/j.petrol.2022.111061
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] Available from: https://doi.org/10.1016/j.finel.2021.103690
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: 10 jul. 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 jul. 10 ] 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 jul. 10 ] Available from: https://doi.org/10.1016/j.petrol.2019.106382

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Source title

Funding Agencies