ReP USP - Resultado da busca

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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] 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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] Available from: https://doi.org/10.3390/en16134849
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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] 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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] Available from: https://doi.org/10.1016/j.fuel.2021.122414
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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] Available from: https://doi.org/10.5194/gmd-15-8639-2022
Artigo de periodico
Improving pseudo-optimal Kalman-gain localization using the random shuffle method (2022)
Ranazzi, Paulo Henrique; Luo, Xiaodong; Pinto, Marcio Augusto Sampaio
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, FILTROS DE KALMAN
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ABNT
RANAZZI, Paulo Henrique e LUO, Xiaodong e PINTO, Marcio Augusto Sampaio. Improving pseudo-optimal Kalman-gain localization using the random shuffle method. Journal of Petroleum Science and Engineering, v. 215, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.110589. Acesso em: 03 jun. 2024.
APA
Ranazzi, P. H., Luo, X., & Pinto, M. A. S. (2022). Improving pseudo-optimal Kalman-gain localization using the random shuffle method. Journal of Petroleum Science and Engineering, 215. doi:10.1016/j.petrol.2022.110589
NLM
Ranazzi PH, Luo X, Pinto MAS. Improving pseudo-optimal Kalman-gain localization using the random shuffle method [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 215[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
Vancouver
Ranazzi PH, Luo X, Pinto MAS. Improving pseudo-optimal Kalman-gain localization using the random shuffle method [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 215[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] Available from: https://doi.org/10.1016/j.petrol.2020.108313
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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] Available from: https://doi.org/10.2516/ogst/2020094
Artigo de periodico
SeismicMesh: triangular meshing for seismology (2021)
Roberts, Keith Jared; Gioria, Rafael dos Santos ; Pringle, Willian J.
Source: Journal of Open Source Software (JOSS). Unidade: EP
Subjects: SISMOLOGIA, MÉTODO DOS ELEMENTOS FINITOS
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ABNT
ROBERTS, Keith Jared e GIORIA, Rafael dos Santos e PRINGLE, Willian J. SeismicMesh: triangular meshing for seismology. Journal of Open Source Software (JOSS), v. 6 n. 57, 2021Tradução . . Disponível em: https://doi.org/10.21105/joss.02687. Acesso em: 03 jun. 2024.
APA
Roberts, K. J., Gioria, R. dos S., & Pringle, W. J. (2021). SeismicMesh: triangular meshing for seismology. Journal of Open Source Software (JOSS), 6 n. 57. doi:10.21105/joss.02687
NLM
Roberts KJ, Gioria R dos S, Pringle WJ. SeismicMesh: triangular meshing for seismology [Internet]. Journal of Open Source Software (JOSS). 2021 ; 6 n. 57[citado 2024 jun. 03 ] Available from: https://doi.org/10.21105/joss.02687
Vancouver
Roberts KJ, Gioria R dos S, Pringle WJ. SeismicMesh: triangular meshing for seismology [Internet]. Journal of Open Source Software (JOSS). 2021 ; 6 n. 57[citado 2024 jun. 03 ] Available from: https://doi.org/10.21105/joss.02687
Artigo de periodico
Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling (2021)
Marum, Victor J. de Oliveira ; Reis, Livia Bueno; Maffei, Felipe Silva; Ranjbarzadeh, Shahin ; Korkischko, Ivan ; Gioria, Rafael dos Santos ; Meneghini, Julio Romano
Source: Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019). Conference titles: International Conference on Computational Heat, Mass and Momentum Transfer. Unidade: EP
Subjects: MATEMÁTICA, DINÂMICA DOS FLUÍDOS COMPUTACIONAL
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ABNT
MARUM, Victor J. de Oliveira et al. Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019), v. 220, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.energy.2021.119779. Acesso em: 03 jun. 2024.
APA
Marum, V. J. de O., Reis, L. B., Maffei, F. S., Ranjbarzadeh, S., Korkischko, I., Gioria, R. dos S., & Meneghini, J. R. (2021). Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019), 220. doi:10.1016/j.energy.2021.119779
NLM
Marum VJ de O, Reis LB, Maffei FS, Ranjbarzadeh S, Korkischko I, Gioria R dos S, Meneghini JR. Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling [Internet]. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019). 2021 ; 220[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.energy.2021.119779
Vancouver
Marum VJ de O, Reis LB, Maffei FS, Ranjbarzadeh S, Korkischko I, Gioria R dos S, Meneghini JR. Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling [Internet]. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019). 2021 ; 220[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.energy.2021.119779
Artigo de periodico
Topology optimization of binary structures under design-dependent fluid-structure interaction loads (2020)
Picelli, Renato ; Ranjbarzadeh, Shahin; Sivapuram, Raghavendra; Gioria, Rafael dos Santos ; Silva, Emílio Carlos Nelli
Source: Structural and Multidisciplinary Optimization. Unidade: EP
Subjects: TOPOLOGIA, MÉTODOS TOPOLÓGICOS, INTERAÇÃO FLUIDO-ESTRUTURA, FLUXO LAMINAR DOS FLUÍDOS
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ABNT
PICELLI, Renato et al. Topology optimization of binary structures under design-dependent fluid-structure interaction loads. Structural and Multidisciplinary Optimization, v. 62, p. 2101–2116, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00158-020-02598-0. Acesso em: 03 jun. 2024.
APA
Picelli, R., Ranjbarzadeh, S., Sivapuram, R., Gioria, R. dos S., & Silva, E. C. N. (2020). Topology optimization of binary structures under design-dependent fluid-structure interaction loads. Structural and Multidisciplinary Optimization, 62, 2101–2116. doi:10.1007/s00158-020-02598-0
NLM
Picelli R, Ranjbarzadeh S, Sivapuram R, Gioria R dos S, Silva ECN. Topology optimization of binary structures under design-dependent fluid-structure interaction loads [Internet]. Structural and Multidisciplinary Optimization. 2020 ; 62 2101–2116.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1007/s00158-020-02598-0
Vancouver
Picelli R, Ranjbarzadeh S, Sivapuram R, Gioria R dos S, Silva ECN. Topology optimization of binary structures under design-dependent fluid-structure interaction loads [Internet]. Structural and Multidisciplinary Optimization. 2020 ; 62 2101–2116.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1007/s00158-020-02598-0
Trabalho de evento
A Deep-Learning inversion method for seismic velocity model building (2020)
Targino, Jonas Mendonça; Roberts, Keith Jared; Souza, Jaime Freire de; Santos, Henrique Bueno dos; Senger, Hermes; Gioria, Rafael dos Santos ; Gomi, Edson Satoshi
Conference titles: EAGE Conference on Machine Learning in Americas. Unidade: EP
Subjects: MÉTODO DOS ELEMENTOS FINITOS, SISMOLOGIA
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ABNT
TARGINO, Jonas Mendonça et al. A Deep-Learning inversion method for seismic velocity model building. 2020, Anais.. Cartagena: Escola Politécnica, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.3997/2214-4609.202084014. Acesso em: 03 jun. 2024.
APA
Targino, J. M., Roberts, K. J., Souza, J. F. de, Santos, H. B. dos, Senger, H., Gioria, R. dos S., & Gomi, E. S. (2020). A Deep-Learning inversion method for seismic velocity model building. In . Cartagena: Escola Politécnica, Universidade de São Paulo. doi:10.3997/2214-4609.202084014
NLM
Targino JM, Roberts KJ, Souza JF de, Santos HB dos, Senger H, Gioria R dos S, Gomi ES. A Deep-Learning inversion method for seismic velocity model building [Internet]. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.3997/2214-4609.202084014
Vancouver
Targino JM, Roberts KJ, Souza JF de, Santos HB dos, Senger H, Gioria R dos S, Gomi ES. A Deep-Learning inversion method for seismic velocity model building [Internet]. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.3997/2214-4609.202084014
Trabalho de evento-anais periodico
Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná (2020)
Masulino, Nathália Weber Neiva; Tassinari, Colombo Celso Gaeta ; Pinto, Marcio Augusto Sampaio
Source: Proceedings. Conference titles: Rio Oil & Gas Expo and Conference. Unidades: IEE, EP
Subjects: RESERVATÓRIOS, CARBONO
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ABNT
MASULINO, Nathália Weber Neiva e TASSINARI, Colombo Celso Gaeta e PINTO, Marcio Augusto Sampaio. Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná. Proceedings. Rio de Janeiro: IBP. Disponível em: https://doi.org/10.48072/2525-7579.rog.2020.537. Acesso em: 03 jun. 2024. , 2020
APA
Masulino, N. W. N., Tassinari, C. C. G., & Pinto, M. A. S. (2020). Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná. Proceedings. Rio de Janeiro: IBP. doi:10.48072/2525-7579.rog.2020.537
NLM
Masulino NWN, Tassinari CCG, Pinto MAS. Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná [Internet]. Proceedings. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.537
Vancouver
Masulino NWN, Tassinari CCG, Pinto MAS. Avaliação técnico-econômica para armazenamento de CO2 em reservatórios não convencionais da bacia do Paraná [Internet]. Proceedings. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.48072/2525-7579.rog.2020.537
Trabalho de evento
Development of computational and physical simulators for the horizontal well-reservoir interface (2014)
Val, Evérton Bezerra; Yamaguchi, Alan Junji; Miura, Kazuo; Azevedo, Ricardo Cabral de
Source: Proceedings. Conference titles: Rio Oil & Gas Conference. Unidade: EP
Assunto: PETRÓLEO
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ABNT
VAL, Evérton Bezerra et al. Development of computational and physical simulators for the horizontal well-reservoir interface. 2014, Anais.. Rio de Janeiro: IBP, 2014. Disponível em: https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203. Acesso em: 03 jun. 2024.
APA
Val, E. B., Yamaguchi, A. J., Miura, K., & Azevedo, R. C. de. (2014). Development of computational and physical simulators for the horizontal well-reservoir interface. In Proceedings. Rio de Janeiro: IBP. Recuperado de https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203
NLM
Val EB, Yamaguchi AJ, Miura K, Azevedo RC de. Development of computational and physical simulators for the horizontal well-reservoir interface [Internet]. Proceedings. 2014 ;[citado 2024 jun. 03 ] Available from: https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203
Vancouver
Val EB, Yamaguchi AJ, Miura K, Azevedo RC de. Development of computational and physical simulators for the horizontal well-reservoir interface [Internet]. Proceedings. 2014 ;[citado 2024 jun. 03 ] Available from: https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203

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