Menu

Filtros : "MÉTODO DOS ELEMENTOS FINITOS" "Financiamento USP" Removidos: " IFSC007" "Indexado no EMBASE" "Alimentos e saúde : tendências e desafios" Limpar

Filtros

Refine with date range

  • 1

1 - 4 (4 records)

  • Artigo de periodico

    The influence of wellhead stick-up on the analysis of critical stress points on conductor casing (2022)

    Auad, Isabella Tomasella; Yamamoto, Márcio ; Carrion, Ronaldo

    Source: The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. Unidade: EP

    Subjects: MÉTODO DOS ELEMENTOS FINITOS, PERFURAÇÃO MARÍTIMA, PERFURAÇÃO DE POÇOS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      AUAD, Isabella Tomasella e YAMAMOTO, Márcio e CARRION, Ronaldo. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing, v. 212, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.110140. Acesso em: 05 out. 2024.

    • APA

      Auad, I. T., Yamamoto, M., & Carrion, R. (2022). The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing, 212. doi:10.1016/j.petrol.2022.110140

    • NLM

      Auad IT, Yamamoto M, Carrion R. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing [Internet]. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. 2022 ; 212[citado 2024 out. 05 ] Available from: https://doi.org/10.1016/j.petrol.2022.110140

    • Vancouver

      Auad IT, Yamamoto M, Carrion R. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing [Internet]. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. 2022 ; 212[citado 2024 out. 05 ] Available from: https://doi.org/10.1016/j.petrol.2022.110140

  • Artigo de periodico

    A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements (2021)

    Poli, Renato Espirito Basso; Gioria, Rafael dos Santos ; Carrion, Ronaldo

    Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EP

    Subjects: MÉTODO DOS ELEMENTOS FINITOS, MECÂNICA DA FRATURA, MECÂNICA DE ROCHAS, ÓLEO E GAS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      POLI, Renato Espirito Basso e GIORIA, Rafael dos Santos e CARRION, Ronaldo. A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 43, n. 175 , 2021Tradução . . Disponível em: https://doi.org/10.1007/s40430-020-02787-4. Acesso em: 05 out. 2024.

    • APA

      Poli, R. E. B., Gioria, R. dos S., & Carrion, R. (2021). A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43( 175 ). doi:10.1007/s40430-020-02787-4

    • NLM

      Poli REB, Gioria R dos S, Carrion R. A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43( 175 ):[citado 2024 out. 05 ] Available from: https://doi.org/10.1007/s40430-020-02787-4

    • Vancouver

      Poli REB, Gioria R dos S, Carrion R. A poroelastic simulator with hydraulic fracture propagation using cohesive finite elements [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43( 175 ):[citado 2024 out. 05 ] Available from: https://doi.org/10.1007/s40430-020-02787-4

  • 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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 05 out. 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 out. 05 ] 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 out. 05 ] Available from: https://doi.org/10.21105/joss.02687

  • 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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 05 out. 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 out. 05 ] 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 out. 05 ] Available from: https://doi.org/10.3997/2214-4609.202084014
  • 1

1 - 4 (4 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024