Stochastic Langevin Model for Flow and Transport in Porous Media

Alexandre M. Tartakovsky, Daniel M. Tartakovsky, and Paul Meakin
Phys. Rev. Lett. 101, 044502 – Published 22 July 2008

Abstract

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.

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  • Received 26 November 2007

DOI:https://doi.org/10.1103/PhysRevLett.101.044502

©2008 American Physical Society

Authors & Affiliations

Alexandre M. Tartakovsky*

  • Pacific Northwest National Laboratory, Richland, Washington 99352, USA

Daniel M. Tartakovsky

  • University of California San Diego, La Jolla, California 92093, USA

Paul Meakin

  • Idaho National Laboratory, Idaho Falls, Idaho 83415, USA

  • *alexandre.tartakovsky@pnl.gov
  • dmt@ucsd.edu
  • paul.meakin@inl.gov

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Vol. 101, Iss. 4 — 25 July 2008

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