Title
Mode decomposition methods for flows in high-contrast porous media. A global approach
Abstract
We apply dynamic mode decomposition (DMD) and proper orthogonal decomposition (POD) methods to flows in highly-heterogeneous porous media to extract the dominant coherent structures and derive reduced-order models via Galerkin projection. Permeability fields with high contrast are considered to investigate the capability of these techniques to capture the main flow features and forecast the flow evolution within a certain accuracy. A DMD-based approach shows a better predictive capability due to its ability to accurately extract the information relevant to long-time dynamics, in particular, the slowly-decaying eigenmodes corresponding to largest eigenvalues. Our study enables a better understanding of the strengths and weaknesses of the applicability of these techniques for flows in high-contrast porous media. Furthermore, we discuss the robustness of DMD- and POD-based reduced-order models with respect to variations in initial conditions, permeability fields, and forcing terms.
Year
DOI
Venue
2014
10.1016/j.jcp.2013.09.031
J. Comput. Physics
Keywords
DocType
Volume
highly-heterogeneous porous media,predictive capability,pod-based reduced-order model,better understanding,main flow feature,global approach,dynamic mode decomposition,mode decomposition method,derive reduced-order model,flow evolution,permeability field,high-contrast porous media
Journal
257
Issue
ISSN
Citations 
PA
0021-9991
1
PageRank 
References 
Authors
0.40
4
3
Name
Order
Citations
PageRank
Mehdi Ghommem1212.89
Victor M. Calo219138.14
Yalchin Efendiev358167.04