Data-driven analysis and modeling of erosion networks

ORAL

Abstract

Channel formation and branching is widely seen in physical systems where movement of fluid though a porous structure causes the erosion of the medium. We introduce a simple model to capture this feedback mechanism in a multiphase model of flow through a frangible porous medium with dynamic permeability. We explore the model through simulations and examine how the channel morphology changes with different parameters. In addition, given a channel network, we develop a data-driven approach to predict the flow characteristics that led to the network formation.

*C. H. R. and N. D. were partially supported by the National Science Foundation under Grant No. DMS-1753203.

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Publication: N. J. Derr, D. C. Fronk, C. A. Weber, A. Mahadevan, C. H. Rycroft, and L. Mahadevan, Flow-driven branching patterns in a porous medium, Phys. Rev. Lett. 125, 158002 (2020).

Presenters

  • Christopher H Rycroft

    • University of Wisconsin–Madison
    • University of Wisconsin-Madison

Authors

  • Christopher H Rycroft

    • University of Wisconsin–Madison
    • University of Wisconsin-Madison

  • Nicholas J Derr

    • Massachusetts Institute of Technology

  • David Fronk

    • Harvard University

  • Christoph A Weber

    • Max Planck Institute for the Physics of Complex Systems

  • Amala Mahadevan

    • Woods Hole Oceanographic Institute

  • L Mahadevan

    • Harvard University