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  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL

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      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: 20 maio 2024.
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      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 maio 20 ] 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 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Assunto: ÓLEO E GAS

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      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: 20 maio 2024.
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      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 maio 20 ] 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 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2022.111061
  • 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: 20 maio 2024.
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      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 maio 20 ] 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 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
  • Source: Journal of Petroleum Science and Engineering. Unidade: IQ

    Subjects: ROCHAS SEDIMENTARES, PETRÓLEO, NANOPARTÍCULAS, FERRO, QUÍMICA DE SUPERFÍCIE

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      TOMA, Sérgio Hiroshi et al. Improving stability of iron oxide nanofluids for enhanced oil recovery: exploiting wettability modifications in carbonaceous rocks. Journal of Petroleum Science and Engineering, v. 212, p. 1-10 art. 110311, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.110311. Acesso em: 20 maio 2024.
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      Toma, S. H., Santos, J. J. dos, Silva, D. G. da, Huila, M. F. G., Toma, H. E., & Araki, K. (2022). Improving stability of iron oxide nanofluids for enhanced oil recovery: exploiting wettability modifications in carbonaceous rocks. Journal of Petroleum Science and Engineering, 212, 1-10 art. 110311. doi:10.1016/j.petrol.2022.110311
    • NLM

      Toma SH, Santos JJ dos, Silva DG da, Huila MFG, Toma HE, Araki K. Improving stability of iron oxide nanofluids for enhanced oil recovery: exploiting wettability modifications in carbonaceous rocks [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 212 1-10 art. 110311.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2022.110311
    • Vancouver

      Toma SH, Santos JJ dos, Silva DG da, Huila MFG, Toma HE, Araki K. Improving stability of iron oxide nanofluids for enhanced oil recovery: exploiting wettability modifications in carbonaceous rocks [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 212 1-10 art. 110311.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2022.110311
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: PERFURAÇÃO DE POÇOS, FLUÍDOS DE PERFURAÇÃO, SOLUBILIDADE

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      DUARTE, Antonio Carlos Magalhães et al. An experimental study of gas solubility in glycerin based drilling fluid applied to well control. Journal of Petroleum Science and Engineering, v. 207, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2021.109194. Acesso em: 20 maio 2024.
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      Duarte, A. C. M., Ribeiro, P. R., KIM, N. R., Mendes, J. R. P., Policarpo, N. A., & Vianna, A. (2021). An experimental study of gas solubility in glycerin based drilling fluid applied to well control. Journal of Petroleum Science and Engineering, 207. doi:10.1016/j.petrol.2021.109194
    • NLM

      Duarte ACM, Ribeiro PR, KIM NR, Mendes JRP, Policarpo NA, Vianna A. An experimental study of gas solubility in glycerin based drilling fluid applied to well control [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2021.109194
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      Duarte ACM, Ribeiro PR, KIM NR, Mendes JRP, Policarpo NA, Vianna A. An experimental study of gas solubility in glycerin based drilling fluid applied to well control [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2021.109194
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: ESPECTROSCOPIA ATÔMICA, ESPECTROSCOPIA DE RAIO GAMA, INTELIGÊNCIA ARTIFICIAL, PRÉ-SAL

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      OLIVEIRA, Lucas Abreu Blanes de e CARNEIRO, Cleyton de Carvalho. Synthetic geochemical well logs generation using ensemble machine learning techniques for the Brazilian pre-salt reservoirs. Journal of Petroleum Science and Engineering, v. 196, n. Ja 2021. Artigo 108080, p. 1-25, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2020.108080. Acesso em: 20 maio 2024.
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      Oliveira, L. A. B. de, & Carneiro, C. de C. (2021). Synthetic geochemical well logs generation using ensemble machine learning techniques for the Brazilian pre-salt reservoirs. Journal of Petroleum Science and Engineering, 196( Ja 2021. Artigo 108080), 1-25. doi:10.1016/j.petrol.2020.108080
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      Oliveira LAB de, Carneiro C de C. Synthetic geochemical well logs generation using ensemble machine learning techniques for the Brazilian pre-salt reservoirs [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 196( Ja 2021. Artigo 108080): 1-25.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2020.108080
    • Vancouver

      Oliveira LAB de, Carneiro C de C. Synthetic geochemical well logs generation using ensemble machine learning techniques for the Brazilian pre-salt reservoirs [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 196( Ja 2021. Artigo 108080): 1-25.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2020.108080
  • 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: 20 maio 2024.
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      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 maio 20 ] 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 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2020.108313
  • Source: Journal of Petroleum Science and Engineering. Unidade: IFSC

    Subjects: RESSONÂNCIA MAGNÉTICA NUCLEAR, PERMEABILIDADE DE ROCHAS, RESERVATÓRIOS, TOMOGRAFIA COMPUTADORIZADA POR RAIOS X

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      JORA, Manazael Zuliani et al. Static acid dissolution of carbonate outcrops investigated by 1H NMR and X-ray tomography. Journal of Petroleum Science and Engineering, v. 207, p. 109124-1-109124-8, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2021.109124. Acesso em: 20 maio 2024.
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      Jora, M. Z., Souza, R. N. de, Lucas-Oliveira, E., Speglich, C., Bonagamba, T. J., & Sabadini, E. (2021). Static acid dissolution of carbonate outcrops investigated by 1H NMR and X-ray tomography. Journal of Petroleum Science and Engineering, 207, 109124-1-109124-8. doi:10.1016/j.petrol.2021.109124
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      Jora MZ, Souza RN de, Lucas-Oliveira E, Speglich C, Bonagamba TJ, Sabadini E. Static acid dissolution of carbonate outcrops investigated by 1H NMR and X-ray tomography [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207 109124-1-109124-8.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2021.109124
    • Vancouver

      Jora MZ, Souza RN de, Lucas-Oliveira E, Speglich C, Bonagamba TJ, Sabadini E. Static acid dissolution of carbonate outcrops investigated by 1H NMR and X-ray tomography [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207 109124-1-109124-8.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2021.109124
  • Source: Journal of Petroleum Science and Engineering. Unidade: IFSC

    Subjects: RESSONÂNCIA MAGNÉTICA NUCLEAR, PERMEABILIDADE DE ROCHAS, POROSIDADE DO SOLO, RESERVATÓRIOS DE PETRÓLEO

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      LUCAS-OLIVEIRA, Everton e ARAUJO-FERREIRA, Arthur Gustavo de e BONAGAMBA, Tito José. Surface relaxivity probed by short-diffusion time NMR and Digital Rock NMR simulation. Journal of Petroleum Science and Engineering, v. 207, p. 109078-1-109078-6, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2021.109078. Acesso em: 20 maio 2024.
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      Lucas-Oliveira, E., Araujo-Ferreira, A. G. de, & Bonagamba, T. J. (2021). Surface relaxivity probed by short-diffusion time NMR and Digital Rock NMR simulation. Journal of Petroleum Science and Engineering, 207, 109078-1-109078-6. doi:10.1016/j.petrol.2021.109078
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      Lucas-Oliveira E, Araujo-Ferreira AG de, Bonagamba TJ. Surface relaxivity probed by short-diffusion time NMR and Digital Rock NMR simulation [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207 109078-1-109078-6.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2021.109078
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      Lucas-Oliveira E, Araujo-Ferreira AG de, Bonagamba TJ. Surface relaxivity probed by short-diffusion time NMR and Digital Rock NMR simulation [Internet]. Journal of Petroleum Science and Engineering. 2021 ; 207 109078-1-109078-6.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2021.109078
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: PERFURAÇÃO DE POÇOS, PETRÓLEO, REDES NEURAIS

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      AGOSTINI, Cristiano Eduardo e PINTO, Marcio Augusto Sampaio. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring. Journal of Petroleum Science and Engineering, v. 193, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2020.1074342. Acesso em: 20 maio 2024.
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      Agostini, C. E., & Pinto, M. A. S. (2020). Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring. Journal of Petroleum Science and Engineering, 193. doi:10.1016/j.petrol.2020.1074342
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      Agostini CE, Pinto MAS. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2020.1074342
    • Vancouver

      Agostini CE, Pinto MAS. Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2020.1074342
  • Source: Journal of Petroleum Science and Engineering. Unidade: IFSC

    Subjects: RESSONÂNCIA MAGNÉTICA NUCLEAR, PERMEABILIDADE DE ROCHAS, POROSIDADE DO SOLO, RESERVATÓRIOS DE PETRÓLEO

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      LUCAS-OLIVEIRA, Everton et al. Sandstone surface relaxivity determined by NMR T2 distribution and digital rock simulation for permeability evaluation. Journal of Petroleum Science and Engineering, v. 193, p. 107400-1-107400-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2020.107400. Acesso em: 20 maio 2024.
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      Lucas-Oliveira, E., Araujo-Ferreira, A. G. de, Trevizan, W. A., Santos, B. C. C. dos, & Bonagamba, T. J. (2020). Sandstone surface relaxivity determined by NMR T2 distribution and digital rock simulation for permeability evaluation. Journal of Petroleum Science and Engineering, 193, 107400-1-107400-10. doi:10.1016/j.petrol.2020.107400
    • NLM

      Lucas-Oliveira E, Araujo-Ferreira AG de, Trevizan WA, Santos BCC dos, Bonagamba TJ. Sandstone surface relaxivity determined by NMR T2 distribution and digital rock simulation for permeability evaluation [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193 107400-1-107400-10.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2020.107400
    • Vancouver

      Lucas-Oliveira E, Araujo-Ferreira AG de, Trevizan WA, Santos BCC dos, Bonagamba TJ. Sandstone surface relaxivity determined by NMR T2 distribution and digital rock simulation for permeability evaluation [Internet]. Journal of Petroleum Science and Engineering. 2020 ; 193 107400-1-107400-10.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2020.107400
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Assunto: RESERVATÓRIOS DE PETRÓLEO

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      RANAZZI, Paulo Henrique e PINTO, Marcio Augusto Sampaio. Influence of the Kalman gain localization in adaptive ensemble smoother history matching. Journal of Petroleum Science and Engineering, v. 179, p. 244 - 256, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2019.04.079. Acesso em: 20 maio 2024.
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      Ranazzi, P. H., & Pinto, M. A. S. (2019). Influence of the Kalman gain localization in adaptive ensemble smoother history matching. Journal of Petroleum Science and Engineering, 179, 244 - 256. doi:10.1016/j.petrol.2019.04.079
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      Ranazzi PH, Pinto MAS. Influence of the Kalman gain localization in adaptive ensemble smoother history matching [Internet]. Journal of Petroleum Science and Engineering. 2019 ; 179 244 - 256.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2019.04.079
    • Vancouver

      Ranazzi PH, Pinto MAS. Influence of the Kalman gain localization in adaptive ensemble smoother history matching [Internet]. Journal of Petroleum Science and Engineering. 2019 ; 179 244 - 256.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2019.04.079
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, PETROGRAFIA, ROCHAS SEDIMENTARES

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      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: 20 maio 2024.
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      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
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      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 maio 20 ] 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 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2019.106382
  • Source: Journal of Petroleum Science and Engineering. Unidade: IFSC

    Subjects: PETROLOGIA, GEOPROCESSAMENTO, MATERIAIS COMPÓSITOS

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      PAIVA, Maria D. M. et al. A geopolymer cementing system for oil wells subject to steam injection. Journal of Petroleum Science and Engineering, v. 169, p. 748-759, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2018.06.022. Acesso em: 20 maio 2024.
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      Paiva, M. D. M., Silva, E. C. C. M., Melo, D. M. A., Martinelli, A. E., & Schneider, J. F. (2018). A geopolymer cementing system for oil wells subject to steam injection. Journal of Petroleum Science and Engineering, 169, 748-759. doi:10.1016/j.petrol.2018.06.022
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      Paiva MDM, Silva ECCM, Melo DMA, Martinelli AE, Schneider JF. A geopolymer cementing system for oil wells subject to steam injection [Internet]. Journal of Petroleum Science and Engineering. 2018 ; 169 748-759.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2018.06.022
    • Vancouver

      Paiva MDM, Silva ECCM, Melo DMA, Martinelli AE, Schneider JF. A geopolymer cementing system for oil wells subject to steam injection [Internet]. Journal of Petroleum Science and Engineering. 2018 ; 169 748-759.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2018.06.022
  • Source: Journal of Petroleum Science and Engineering. Unidade: EESC

    Subjects: ESCOAMENTO MULTIFÁSICO, VISCOSIDADE DO FLUXO DOS LÍQUIDOS, ENGENHARIA MECÂNICA

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      ROCHA, Douglas Martins et al. Effects of water and gas injection and viscosity on volumetric fraction, pressure gradient and phase inversion in upward-vertical three-phase pipe flow. Journal of Petroleum Science and Engineering, v. 157, p. 519-529, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2017.07.055. Acesso em: 20 maio 2024.
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      Rocha, D. M., Carvalho, C. H. M. de, Estevam, V., & Hernandez Rodriguez, O. M. (2017). Effects of water and gas injection and viscosity on volumetric fraction, pressure gradient and phase inversion in upward-vertical three-phase pipe flow. Journal of Petroleum Science and Engineering, 157, 519-529. doi:10.1016/j.petrol.2017.07.055
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      Rocha DM, Carvalho CHM de, Estevam V, Hernandez Rodriguez OM. Effects of water and gas injection and viscosity on volumetric fraction, pressure gradient and phase inversion in upward-vertical three-phase pipe flow [Internet]. Journal of Petroleum Science and Engineering. 2017 ; 157 519-529.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2017.07.055
    • Vancouver

      Rocha DM, Carvalho CHM de, Estevam V, Hernandez Rodriguez OM. Effects of water and gas injection and viscosity on volumetric fraction, pressure gradient and phase inversion in upward-vertical three-phase pipe flow [Internet]. Journal of Petroleum Science and Engineering. 2017 ; 157 519-529.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2017.07.055
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: PERFURAÇÃO DE POÇOS, EQUILÍBRIO QUÍMICO

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      KIM, N. R e RIBEIRO, P. R e PESSÔA FILHO, Pedro de Alcântara. PVT behavior of methane and ester-based drilling emulsions. Journal of Petroleum Science and Engineering, v. No 2015, p. 360-366, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2015.08.018. Acesso em: 20 maio 2024.
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      Kim, N. R., Ribeiro, P. R., & Pessôa Filho, P. de A. (2015). PVT behavior of methane and ester-based drilling emulsions. Journal of Petroleum Science and Engineering, No 2015, 360-366. doi:10.1016/j.petrol.2015.08.018
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      Kim NR, Ribeiro PR, Pessôa Filho P de A. PVT behavior of methane and ester-based drilling emulsions [Internet]. Journal of Petroleum Science and Engineering. 2015 ; No 2015 360-366.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2015.08.018
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      Kim NR, Ribeiro PR, Pessôa Filho P de A. PVT behavior of methane and ester-based drilling emulsions [Internet]. Journal of Petroleum Science and Engineering. 2015 ; No 2015 360-366.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2015.08.018
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: PETRÓLEO, COMPOSTOS ORGÂNICOS, ESPECTROMETRIA

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      PANTOJA, Patricia Araujo e MENDES, Maria Anita e NASCIMENTO, Cláudio Augusto Oller do. Contribution of mass spectrometry in assessing quality of petroleum fractions. Journal of Petroleum Science and Engineering, v. 109, p. 198-205, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2013.08.008. Acesso em: 20 maio 2024.
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      Pantoja, P. A., Mendes, M. A., & Nascimento, C. A. O. do. (2013). Contribution of mass spectrometry in assessing quality of petroleum fractions. Journal of Petroleum Science and Engineering, 109, 198-205. doi:10.1016/j.petrol.2013.08.008
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      Pantoja PA, Mendes MA, Nascimento CAO do. Contribution of mass spectrometry in assessing quality of petroleum fractions [Internet]. Journal of Petroleum Science and Engineering. 2013 ; 109 198-205.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2013.08.008
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      Pantoja PA, Mendes MA, Nascimento CAO do. Contribution of mass spectrometry in assessing quality of petroleum fractions [Internet]. Journal of Petroleum Science and Engineering. 2013 ; 109 198-205.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2013.08.008
  • Source: Journal of Petroleum Science and Engineering. Unidade: EESC

    Subjects: ÓLEOS ESSENCIAIS, FLUXO DOS LÍQUIDOS, ESCOAMENTO BIFÁSICO

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      HERNANDEZ RODRIGUEZ, Oscar Maurício e BALDANI, L. S. Prediction of pressure gradient and holdup in wavy stratified liquid-liquid inclined pipe flow. Journal of Petroleum Science and Engineering, v. 96-97, p. 140-151, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2012.09.007. Acesso em: 20 maio 2024.
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      Hernandez Rodriguez, O. M., & Baldani, L. S. (2012). Prediction of pressure gradient and holdup in wavy stratified liquid-liquid inclined pipe flow. Journal of Petroleum Science and Engineering, 96-97, 140-151. doi:10.1016/j.petrol.2012.09.007
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      Hernandez Rodriguez OM, Baldani LS. Prediction of pressure gradient and holdup in wavy stratified liquid-liquid inclined pipe flow [Internet]. Journal of Petroleum Science and Engineering. 2012 ; 96-97 140-151.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2012.09.007
    • Vancouver

      Hernandez Rodriguez OM, Baldani LS. Prediction of pressure gradient and holdup in wavy stratified liquid-liquid inclined pipe flow [Internet]. Journal of Petroleum Science and Engineering. 2012 ; 96-97 140-151.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2012.09.007
  • Source: Journal of Petroleum Science and Engineering. Unidade: IQ

    Subjects: ADSORÇÃO, POÇOS, PETRÓLEO

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      PETRI, Denise Freitas Siqueira e QUEIROZ NETO, João Crisósthomo. Identification of lift-off mechanism failure for salt drill-in drilling fluid containing polymer filter cake through adsorption/desorption studies. Journal of Petroleum Science and Engineering, v. 70, n. 1-2, p. 89-98, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2009.10.002. Acesso em: 20 maio 2024.
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      Petri, D. F. S., & Queiroz Neto, J. C. (2010). Identification of lift-off mechanism failure for salt drill-in drilling fluid containing polymer filter cake through adsorption/desorption studies. Journal of Petroleum Science and Engineering, 70( 1-2), 89-98. doi:10.1016/j.petrol.2009.10.002
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      Petri DFS, Queiroz Neto JC. Identification of lift-off mechanism failure for salt drill-in drilling fluid containing polymer filter cake through adsorption/desorption studies [Internet]. Journal of Petroleum Science and Engineering. 2010 ; 70( 1-2): 89-98.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2009.10.002
    • Vancouver

      Petri DFS, Queiroz Neto JC. Identification of lift-off mechanism failure for salt drill-in drilling fluid containing polymer filter cake through adsorption/desorption studies [Internet]. Journal of Petroleum Science and Engineering. 2010 ; 70( 1-2): 89-98.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2009.10.002
  • Source: Journal of Petroleum Science and Engineering. Unidade: EESC

    Subjects: ESCOAMENTO (PADRÕES), FLUXO DOS LÍQUIDOS, FLUXO DOS GASES, ÓLEOS ESSENCIAIS

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      BANNWART, Antonio Carlos et al. Experimental investigation on liquid-liquid-gas flow: flow patterns and pressure-gradient. Journal of Petroleum Science and Engineering, v. 65, n. 1-2, p. 1-13, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2008.12.014. Acesso em: 20 maio 2024.
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      Bannwart, A. C., Hernandez Rodriguez, O. M., Trevisan, F. E., Vieira, F. F., & Carvalho, C. H. M. de. (2009). Experimental investigation on liquid-liquid-gas flow: flow patterns and pressure-gradient. Journal of Petroleum Science and Engineering, 65( 1-2), 1-13. doi:10.1016/j.petrol.2008.12.014
    • NLM

      Bannwart AC, Hernandez Rodriguez OM, Trevisan FE, Vieira FF, Carvalho CHM de. Experimental investigation on liquid-liquid-gas flow: flow patterns and pressure-gradient [Internet]. Journal of Petroleum Science and Engineering. 2009 ; 65( 1-2): 1-13.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2008.12.014
    • Vancouver

      Bannwart AC, Hernandez Rodriguez OM, Trevisan FE, Vieira FF, Carvalho CHM de. Experimental investigation on liquid-liquid-gas flow: flow patterns and pressure-gradient [Internet]. Journal of Petroleum Science and Engineering. 2009 ; 65( 1-2): 1-13.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.petrol.2008.12.014

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