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| Content Provider | Springer Nature Link |
|---|---|
| Author | Marchand, E. Müller, T. Knabner, P. |
| Copyright Year | 2013 |
| Abstract | This paper is a prequel to that of Marchand et al. (Comput Geosci 16:691–708, 2012), where an efficient and accurate hybrid-mixed finite element approximation for a system of time-dependent nonlinear conservation equations has been formulated, implemented, and tested, which are general enough to represent most of the existing formulations for two-component liquid–gas flow in porous medium with phase exchange, also allowing for any (dis)appearance of one of the phases. Temperature variation is neglected, but capillary effects are included by extended Darcy’s law, and Fickian diffusion is taken into account. The efficiency and stability of the numerical method of Lake (1989) relies on an equivalent reformulation of the otherwise commonly used model in terms of new principal variables and subsequent static (flash) equations allowing more generally for any (dis)appearance of one of the phases without the need of variable switching or unphysical quantities. In particular, the formulation in terms of complementarity conditions allows for an efficient and stable solution by the semismooth Newton’s method. |
| Ending Page | 442 |
| Page Count | 12 |
| Starting Page | 431 |
| File Format | |
| ISSN | 14200597 |
| e-ISSN | 15731499 |
| Journal | Computational Geosciences |
| Issue Number | 2 |
| Volume Number | 17 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2013-02-15 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Earth Sciences Hydrogeology Compositional multiphase flow Geotechnical Engineering & Applied Earth Sciences Mathematical Modeling and Industrial Mathematics Complementarity problems Nonlinear PDEs Nonlinear higher-order systems Soil Science & Conservation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computers in Earth Sciences Computational Theory and Mathematics Computer Science Applications Computational Mathematics |
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