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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Interface spaces for the Multiscale Robin Coupled Method in reservoir simulation

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Guiraldello, Rafael T. [1] ; Ausas, Roberto F. [1] ; Sousa, Fabricio S. [1] ; Pereira, Felipe [2] ; Buscaglia, Gustavo C. [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Ciencias Matemat & Comp, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Texas Dallas, Dept Math Sci, 800 W Campbell Rd, Richardson, TX 75080 - USA
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: MATHEMATICS AND COMPUTERS IN SIMULATION; v. 164, n. SI, p. 103-119, OCT 2019.
Citações Web of Science: 0

The Multiscale Robin Coupled Method (MRCM) is a recent multiscale numerical method based on a non-overlapping domain decomposition procedure. One of its hallmarks is that the MRCM allows for the independent definition of interface spaces for pressure and flux over the skeleton of the decomposition. The accuracy of the MRCM depends on the choice of these interface spaces, as well as on an algorithmic parameter beta in the Robin interface conditions imposed at the subdomain boundaries. This work presents an extensive numerical assessment of the MRCM in both of these aspects. Two types of interface spaces are implemented: usual piecewise polynomial spaces and informed spaces, the latter obtained from sets of snapshots by dimensionality reduction. Different distributions of the unknowns between pressure and flux are explored. Two non-dimensionalizations of beta are tested. The assessment is conducted on realistic, high contrast, channelized permeability fields from a SPE benchmark database. The results show that beta, suitably non-dimensionalized, can be fixed to unity to avoid any indeterminacy in the method. Further, with both types of spaces it is observed that a balanced distribution of the interface unknowns between pressure and flux renders the MRCM quite attractive both in accuracy and in computational cost, competitive with other multiscale methods from the literature (C) 2018 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria
Beneficiário:José Alberto Cuminato
Linha de fomento: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
Processo FAPESP: 16/08115-0 - Métodos multiescala implícitos para escoamentos multifásicos em meios porosos
Beneficiário:Fabrício Simeoni de Sousa
Linha de fomento: Bolsas no Exterior - Pesquisa
Processo FAPESP: 15/02649-0 - Novos métodos para escoamentos multifásicos em microescala: aplicação em processos de separação
Beneficiário:Fabrício Simeoni de Sousa
Linha de fomento: Auxílio à Pesquisa - Regular