4.7 Article

Non-Fickian transport through two-dimensional rough fractures: Assessment and prediction

Journal

WATER RESOURCES RESEARCH
Volume 50, Issue 2, Pages 871-884

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2013WR014459

Keywords

Non-Fickian transport; Fractures; CTRW; Navier-Stokes

Funding

  1. Center for Frontiers of Subsurface Energy Security (CFSES) at the University of Texas at Austin, an Energy Frontier Research Center
  2. U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-SC0001114]
  3. Geology Foundation of the University of Texas

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Non-Fickian transport ubiquitously occurs across all scales within fractured geological media. Detailed characterization of non-Fickian transport through single fractures is thus critical for predicting the fate of solutes and other fluid-borne entities through fractured media. Our direct numerical simulations of solute transport through two-dimensional rough-walled fractures showed early arrival and heavy tailing in breakthrough curves (BTCs), which are salient characteristics of non-Fickian transport. Analyses for dispersion coefficients (D-ADE) using the standard advection-dispersion equation (ADE) led to errors which increased linearly with fracture heterogeneity. Estimated Taylor dispersion coefficients deviated from estimated D-ADE even at higher Peclet numbers. Alternatively, we used continuous time random walk (CTRW) model with truncated power law transition rate probability to characterize the non-Fickian transport. CTRW modeling markedly and consistently improved fits to the BTCs relative to those fitted with ADE solutions. The degree of deviation of transport from Fickian to non-Fickian is captured by the parameter of the truncated power law. We found that is proportional to fracture heterogeneity. We also found that the CTRW transport velocity can be predicted based on the flow velocity. Along with the ability to predict , this is a major step toward prediction of transport through CTRW using measurable physical properties.

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