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  • Artigo de periodico

    Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models (2024)

    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 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111169. Acesso em: 17 nov. 2024.

    • APA

      Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2024). 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. 2024 ; 220 10 .[citado 2024 nov. 17 ] 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. 2024 ; 220 10 .[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169

  • 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 2024.

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      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 nov. 17 ] 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 nov. 17 ] 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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      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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] 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: 17 nov. 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 nov. 17 ] 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 nov. 17 ] Available from: https://biblioteca.ibp.org.br/scripts/bnmapi.exe?router=upload/18203
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