Stochastic langevin model for flow and transport in porous media

Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Paul Meakin

Research output: Contribution to journalArticlepeer-review


We present a new model for fluid flow and solute transport in porous media, which employs smoothed particle hydrodynamics to solve a Langevin equation for flow and dispersion in porous media. This allows for effective separation of the advective and diffusive mixing mechanisms, which is absent in the classical dispersion theory that lumps both types of mixing into dispersion coefficient. The classical dispersion theory overestimates both mixing-induced effective reaction rates and the effective fractal dimension of the mixing fronts associated with miscible fluid Rayleigh-Taylor instabilities. We demonstrate that the stochastic (Langevin equation) model overcomes these deficiencies.

Original languageEnglish (US)
Article number044502
JournalPhysical review letters
Issue number4
StatePublished - Jul 22 2008
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)


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