Density-dependent dispersion in heterogeneous porous media Part II: Comparison with nonlinear models

Anke Jannie Landman, Ruud Schotting*, Andrey Egorov, Denis Demidov

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The results of a series of high-resolution numerical experiments are used to test and compare three nonlinear models for high-concentration-gradient dispersion. Gravity stable miscible displacement is considered. The first model, introduced by Hassanizadeh, is a modification of Fick's law which involves a second-order term in the dispersive flux equation and an additional dispersion parameter β. The numerical experiments confirm the dependency of β on the flow rate. In addition, a dependency on travelled distance is observed. The model can successfully be applied to nearly homogeneous media (σ2 = 0.1), but additional fitting is required for more heterogeneous media. The second and third models are based on homogenization of the local scale equations describing density-dependent transport. Egorov considers media that are heterogeneous on the Darcy scale, whereas Demidov starts at the pore-scale level. Both approaches result in a macroscopic balance equation in which the dispersion coefficient is a function of the dimensionless density gradient. In addition, an expression for the concentration variance is derived. For small σ2, Egorov's model predictions are in satisfactory agreement with the numerical experiments without the introduction of any new parameters. Demidov's model involves an additional fitting parameter, but can be applied to more heterogeneous media as well.

Original languageEnglish
Pages (from-to)2481-2498
Number of pages18
JournalAdvances in Water Resources
Volume30
Issue number12
DOIs
Publication statusPublished - Dec 2007

Keywords

  • Brine transport
  • Concentration variance
  • Density-dependent flow
  • Heterogeneous porous media
  • High-concentration-gradient dispersion
  • Homogenization
  • Macrodispersion
  • Solute transport
  • Stochastic media

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