Discrete Network Modeling for Field-Scale Flow and Transport Through Porous Media

Abstract

Natural soil is a discrete, heterogeneous porous material with many sizes of physical structure. These multi-scale discrete media resist description by differential equations with macroscopic parameters. Constitutive parameters may display an apparent scale dependence or the governing equations may exhibit non-physical behavior. To address these issues, a discrete-medium modeling philosophy is adopted that relies less on complex constitutive theory and more on computational resolution. Specifically, a stochastic, high-resolution, discrete network model is developed and explored for simulating macroscopic flow and conservative transport through macroscopic porous media Networks can be created to honor macroscopic porosity, effective conductivity, and apparent dispersivity estimates or to honor statistical distributions of small scale conductivites. Flow through a discrete network compares well with analytical solutions for macroscopic, Darcian fluid flow. Transport through a discrete network differs fundamentally from advection-dispersion theory. However, network-predicted concentration profiles and breakthrough curves are consistent with historical observations of nearly-Gaussian concentration distributions. Dispersion in the network is a natural consequence of its discrete structure. For immiscible flow, network models offer the potential to simulate capillary barriers and macroporous breakthrough phenomena.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA332997

Entities

People

  • John F. Peters
  • Stacy E. Howington
  • Tissa H. Illangasekare

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Buoyancy
  • Computational Fluid Dynamics
  • Computational Science
  • Computers
  • Continuum Mechanics
  • Differential Equations
  • Fluid Dynamics
  • Fluid Flow
  • Groundwater
  • Hydrodynamics
  • Mechanical Properties
  • Molecular Dynamics
  • Physical Properties
  • Physics Laboratories
  • Statistical Distributions
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Fluid Dynamics.
  • Statistical inference.