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Title: Flow Channeling in Fracture Networks: Characterizing the Effect of Density on Preferential Flow Path Formation

Abstract

Abstract Flow channelization is a commonly observed phenomenon in fractured subsurface media where the flow of fluids is restricted primarily to highly transmissive fracture networks surrounded by a low‐permeability rock matrix. The multiscale structural heterogeneity of these networks results in multiscale flow channelization where preferential flow paths form at length scales ranging from the entire system down to the subfracture size. We present an analysis of how one of the largest scales in fractured media, the network density, influences the degree of flow channeling that occurs using an ensemble of semigeneric three‐dimensional discrete fracture network (DFN) simulations. We construct 10 DFNs, whose fracture lengths follow a power law distribution, at four densities for a total of 40 networks. We characterize their structure in terms of the network topology and geometry. Eulerian and Lagrangian observations of the steady‐state flow fields obtained within the networks are used to quantify the degree of flow channelization at the network scale. We introduce a measure for the importance‐ranking/hierarchy of different flow paths in the network using graph‐based analysis of Lagrangian transport by which the degree of flow channeling between networks is compared. These flow observations are then linked to the structural properties of the networks.more » In general, network‐scale flow channeling decreases as the network density increases. However, at low densities, there is more uniform flow within the entire connected network than in high‐density networks. We also demonstrate how standard transport observables can be used to infer the degree of flow channelization occurring within a fracture network.« less

Authors:
ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Earth and Environmental Sciences Division, Computational Earth Science Group (EES‐16)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1813847
Alternate Identifier(s):
OSTI ID: 1786876
Report Number(s):
LA-UR-20-23557
Journal ID: ISSN 0043-1397
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Journal Volume: 56; Journal Issue: 9; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Hyman, Jeffrey D. Flow Channeling in Fracture Networks: Characterizing the Effect of Density on Preferential Flow Path Formation. United States: N. p., 2020. Web. doi:10.1029/2020wr027986.
Hyman, Jeffrey D. Flow Channeling in Fracture Networks: Characterizing the Effect of Density on Preferential Flow Path Formation. United States. https://doi.org/10.1029/2020wr027986
Hyman, Jeffrey D. Wed . "Flow Channeling in Fracture Networks: Characterizing the Effect of Density on Preferential Flow Path Formation". United States. https://doi.org/10.1029/2020wr027986. https://www.osti.gov/servlets/purl/1813847.
@article{osti_1813847,
title = {Flow Channeling in Fracture Networks: Characterizing the Effect of Density on Preferential Flow Path Formation},
author = {Hyman, Jeffrey D.},
abstractNote = {Abstract Flow channelization is a commonly observed phenomenon in fractured subsurface media where the flow of fluids is restricted primarily to highly transmissive fracture networks surrounded by a low‐permeability rock matrix. The multiscale structural heterogeneity of these networks results in multiscale flow channelization where preferential flow paths form at length scales ranging from the entire system down to the subfracture size. We present an analysis of how one of the largest scales in fractured media, the network density, influences the degree of flow channeling that occurs using an ensemble of semigeneric three‐dimensional discrete fracture network (DFN) simulations. We construct 10 DFNs, whose fracture lengths follow a power law distribution, at four densities for a total of 40 networks. We characterize their structure in terms of the network topology and geometry. Eulerian and Lagrangian observations of the steady‐state flow fields obtained within the networks are used to quantify the degree of flow channelization at the network scale. We introduce a measure for the importance‐ranking/hierarchy of different flow paths in the network using graph‐based analysis of Lagrangian transport by which the degree of flow channeling between networks is compared. These flow observations are then linked to the structural properties of the networks. In general, network‐scale flow channeling decreases as the network density increases. However, at low densities, there is more uniform flow within the entire connected network than in high‐density networks. We also demonstrate how standard transport observables can be used to infer the degree of flow channelization occurring within a fracture network.},
doi = {10.1029/2020wr027986},
journal = {Water Resources Research},
number = 9,
volume = 56,
place = {United States},
year = {Wed Aug 26 00:00:00 EDT 2020},
month = {Wed Aug 26 00:00:00 EDT 2020}
}

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