Numerical solution of the polymer system by front tracking

Citation
V. Haugse et al., Numerical solution of the polymer system by front tracking, TRANS POR M, 44(1), 2001, pp. 63-83
Citations number
28
Categorie Soggetti
Chemical Engineering
Journal title
TRANSPORT IN POROUS MEDIA
ISSN journal
01693913 → ACNP
Volume
44
Issue
1
Year of publication
2001
Pages
63 - 83
Database
ISI
SICI code
0169-3913(200107)44:1<63:NSOTPS>2.0.ZU;2-L
Abstract
The paper describes the application of front tracking to the polymer system , an example of a nonstrictly hyperbolic system. Front tracking computes pi ecewise constant approximations based on approximate Riemann solutions and exact tracking of waves. It is well known that the front tracking method ma y introduce a blowup of the initial total variation for initial data along the curve where the two eigenvalues of the hyperbolic system are identical. It is demonstrated by numerical examples that the method converges to the correct solution after a finite time, and that this time decreases with the discretization parameter. For multidimensional problems, front tracking is combined with dimensional splitting, and numerical experiments indicate that large splitting steps ca n be used without loss of accuracy. Typical CFL numbers are in the range 10 -20, and comparisons with Riemann free, high-resolution methods confirm the high efficiency of front tracking. The polymer system, coupled with an elliptic pressure equation, models two- phase, three-component polymer flooding in an oil reservoir. Two examples a re presented, where this model is solved by a sequential time stepping proc edure. Because of the approximate Riemann solver, the method is non-conserv ative and CFL numbers must be chosen only moderately larger than unity to a void substantial material balance errors generated in near-well regions aft er water breakthrough. Moreover, it is demonstrated that dimensional splitt ing may introduce severe grid orientation effects for unstable displacement s that are accentuated for decreasing discretization parameters.