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Filtros : "Journal of Petroleum Science and Engineering" "2020" Limpar

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  • Artigo de periodico

    Probabilistic Neural Network with Bayesian-based, spectral torque imaging and Deep Convolutional Autoencoder for PDC bit wear monitoring (2020)

    Agostini, Cristiano Eduardo; Pinto, Marcio Augusto Sampaio

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

    Subjects: PERFURAÇÃO DE POÇOS, PETRÓLEO, REDES NEURAIS

    Acesso à fonteDOIHow to cite
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    • ABNT

      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: 09 nov. 2025.

    • APA

      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

    • NLM

      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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.petrol.2020.1074342

  • Artigo de periodico

    Sandstone surface relaxivity determined by NMR T2 distribution and digital rock simulation for permeability evaluation (2020)

    Lucas-Oliveira, Everton; Araujo-Ferreira, Arthur Gustavo de; Trevizan, Willian A.; Santos, Bernardo C. Coutinho dos; Bonagamba, Tito José

    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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    • ABNT

      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: 09 nov. 2025.

    • APA

      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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.petrol.2020.107400
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