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Upscaling and its application in numerical simulation of long‐term CO 2 storage
Author(s) -
Akber Hassan Wasim A.,
Jiang Xi
Publication year - 2012
Publication title -
greenhouse gases: science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 32
ISSN - 2152-3878
DOI - 10.1002/ghg.1306
Subject(s) - term (time) , computer science , numerical modeling , flow (mathematics) , computer simulation , numerical models , statistical physics , industrial engineering , mechanics , simulation , geology , engineering , geophysics , physics , quantum mechanics
Numerical simulations of long‐term geological CO 2 storage could be particularly useful in predicting the capacity, security, and other consequences of CO 2 sequestration. The physics of this flow is essentially a multiphase multicomponent phenomenon in a strongly heterogeneous medium necessitating the need for a computationally prohibitive resolution to capture the various physical processes at all scales. Upscaling is an important step in these simulations when going from geostatistical models featuring strong heterogeneities to the simulation models which in practice are limited because of computational restrictions. Although many different upscaling techniques exist, including dynamic and steady‐state methods, thorough analyses of their application to CO 2 sequestration are not yet established. This review aims to highlight the recent developments in the application of upscaling to the modeling of long‐term CO 2 storage and provide insights into aspects that could prove valuable to numerical simulations. © 2012 Society of Chemical Industry and John Wiley & Sons, Ltd