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Flow between two sites on a percolation cluster

Andrade1, Buldyrev, Dokholyan

  • 1Center for Polymer Studies, Boston University, Boston, Massachusetts 02215 and Departamento de Fisica, Universidade Federal do Ceara, 60451-970 Fortaleza, Ceara, Brazil.

Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
|January 4, 2001
PubMed
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We modeled fluid flow in porous media using percolation theory. Our findings reveal scaling laws for shortest paths and travel times, crucial for understanding fluid dynamics in complex systems.

Area of Science:

  • Physics
  • Applied Mathematics
  • Geophysics

Background:

  • Fluid flow in porous media is fundamental to many natural and industrial processes.
  • Understanding transport phenomena in disordered systems, like porous materials, presents significant challenges.
  • Percolation theory provides a framework for modeling connectivity and transport in such media.

Purpose of the Study:

  • To investigate the distribution of shortest paths for fluid flow in 2D and 3D porous media.
  • To develop and validate scaling laws for shortest path distributions and minimal travel times.
  • To analyze the influence of system size and bond occupancy probability on fluid transport dynamics.

Main Methods:

  • Modeling porous media using bond percolation on a lattice.

Related Experiment Videos

  • Simulating tracer particle movement driven by pressure differences between 'wells'.
  • Developing and verifying scaling ansatze for path distributions and travel times through extensive simulations.
  • Main Results:

    • A validated scaling ansatz for shortest path distributions in 2D and 3D systems.
    • Identified scaling laws for minimal tracer travel times under constant flux and constant pressure difference.
    • Demonstrated similarities in scaling forms for dynamical quantities and shortest paths, with distinct critical exponents.

    Conclusions:

    • The proposed scaling ansatze accurately describe fluid flow dynamics in porous media.
    • The study provides key parameters characterizing scaling behavior, including fractal dimensions and critical exponents.
    • Results offer insights into transport phenomena in disordered systems relevant to geophysics and materials science.