Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods (2022)
Jaramillo, Alfredo 
; Guiraldello, Rafael Trevisanuto ; Sanchez, Stevens Paz ; Ausas, Roberto Federico ; Sousa, Fabricio Simeoni de ; Pereira, Felipe; Buscaglia, Gustavo Carlos
Source: Computational Geosciences. Unidades: ICMC, IRI
Subjects: AVALIAÇÃO DE DESEMPENHO, ESCOAMENTO BIFÁSICO, BENCHMARKS
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JARAMILLO, Alfredo et al. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods. Computational Geosciences, v. 26, p. 481-501, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10596-022-10131-z. Acesso em: 16 nov. 2024.APA
Jaramillo, A., Guiraldello, R. T., Sanchez, S. P., Ausas, R. F., Sousa, F. S. de, Pereira, F., & Buscaglia, G. C. (2022). Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods. Computational Geosciences, 26, 481-501. doi:10.1007/s10596-022-10131-zNLM
Jaramillo A, Guiraldello RT, Sanchez SP, Ausas RF, Sousa FS de, Pereira F, Buscaglia GC. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods [Internet]. Computational Geosciences. 2022 ; 26 481-501.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10596-022-10131-zVancouver
Jaramillo A, Guiraldello RT, Sanchez SP, Ausas RF, Sousa FS de, Pereira F, Buscaglia GC. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods [Internet]. Computational Geosciences. 2022 ; 26 481-501.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10596-022-10131-z
