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Title: Downscaling-Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples

Abstract

Numerical simulations of pore-scale flow and transport in natural sediments require the knowledge of pore-space topology. Limited resolution of X-ray tomography is often insufficient to fully characterize pore-space structure within fine-grained regions. Single and multilevel threshold-based segmentation approaches are customarily employed to identify solid, pore and porous-solid regions by means of grey intensity thresholds. While the choice of cutoff thresholds is often arbitrary, it dramatically affects the effective properties and the dynamical response of the reconstructed porous structure. As such, we propose an algorithm of downscaling, i.e., the process of increasing image resolution, followed by segmentation, i.e., the identification of different phases, to reconstruct the unresolved pore-space from XCT images of natural geological porous media. The method, applicable to moderately unresolved, chemically homogeneous granular media, is based on a map between local pixel porosity and pore size that does not rely on the definition of arbitrary thresholds and it allows to generate a high-resolution binary image of the porous medium from poorly resolved grey-scale images. First, we validate the method on synthetic unresolved images and compare their known pore-space distribution with the extracted one. Then, we consider a synthetic porous medium and compare the pore size distribution, conductivity, and tortuositymore » between the original and the reconstructed structures. Finally, we apply the method to extract the pore-space distribution from unresolved XCT images of two natural sediment columns and use it (i) to parametrize a capillary-bundle model and (ii) to estimate the hydraulic conductivity by matching breakthrough behavior of passive solute transport.« less

Authors:
 [1]; ORCiD logo [2];  [3]; ORCiD logo [4]; ORCiD logo [1]
  1. Stanford Univ., CA (United States). Energy Resources Engineering
  2. Beijing Normal Univ. (China). Geographical Science
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Fundamental and Computational Sciences Directorate
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Energy and Environment Directorate and Environmental Molecular Sciences Lab.
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1528962
Alternate Identifier(s):
OSTI ID: 1433415
Report Number(s):
PNNL-SA-125744
Journal ID: ISSN 0043-1397
Grant/Contract Number:  
AC05-76RL01830; EAR-1742569; SC0014227
Resource Type:
Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Journal Volume: 54; Journal Issue: 4; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; subresolution porosity; downscaling; X‐ray tomography

Citation Formats

Korneev, Svyatoslav V., Yang, Xiaofan, Zachara, John M., Scheibe, Timothy D., and Battiato, Ilenia. Downscaling-Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples. United States: N. p., 2018. Web. doi:10.1002/2018WR022886.
Korneev, Svyatoslav V., Yang, Xiaofan, Zachara, John M., Scheibe, Timothy D., & Battiato, Ilenia. Downscaling-Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples. United States. doi:10.1002/2018WR022886.
Korneev, Svyatoslav V., Yang, Xiaofan, Zachara, John M., Scheibe, Timothy D., and Battiato, Ilenia. Sat . "Downscaling-Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples". United States. doi:10.1002/2018WR022886. https://www.osti.gov/servlets/purl/1528962.
@article{osti_1528962,
title = {Downscaling-Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples},
author = {Korneev, Svyatoslav V. and Yang, Xiaofan and Zachara, John M. and Scheibe, Timothy D. and Battiato, Ilenia},
abstractNote = {Numerical simulations of pore-scale flow and transport in natural sediments require the knowledge of pore-space topology. Limited resolution of X-ray tomography is often insufficient to fully characterize pore-space structure within fine-grained regions. Single and multilevel threshold-based segmentation approaches are customarily employed to identify solid, pore and porous-solid regions by means of grey intensity thresholds. While the choice of cutoff thresholds is often arbitrary, it dramatically affects the effective properties and the dynamical response of the reconstructed porous structure. As such, we propose an algorithm of downscaling, i.e., the process of increasing image resolution, followed by segmentation, i.e., the identification of different phases, to reconstruct the unresolved pore-space from XCT images of natural geological porous media. The method, applicable to moderately unresolved, chemically homogeneous granular media, is based on a map between local pixel porosity and pore size that does not rely on the definition of arbitrary thresholds and it allows to generate a high-resolution binary image of the porous medium from poorly resolved grey-scale images. First, we validate the method on synthetic unresolved images and compare their known pore-space distribution with the extracted one. Then, we consider a synthetic porous medium and compare the pore size distribution, conductivity, and tortuosity between the original and the reconstructed structures. Finally, we apply the method to extract the pore-space distribution from unresolved XCT images of two natural sediment columns and use it (i) to parametrize a capillary-bundle model and (ii) to estimate the hydraulic conductivity by matching breakthrough behavior of passive solute transport.},
doi = {10.1002/2018WR022886},
journal = {Water Resources Research},
number = 4,
volume = 54,
place = {United States},
year = {2018},
month = {3}
}

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    Works referencing / citing this record:

    Subvoxel processing: A method for reducing partial volume blurring with application to in vivo MR images of trabecular bone
    journal, April 2002

    • Hwang, Scott N.; Wehrli, Felix W.
    • Magnetic Resonance in Medicine, Vol. 47, Issue 5
    • DOI: 10.1002/mrm.10138

    The Impact of Sub-Resolution Porosity of X-ray Microtomography Images on the Permeability
    journal, April 2016

    • Soulaine, Cyprien; Gjetvaj, Filip; Garing, Charlotte
    • Transport in Porous Media, Vol. 113, Issue 1
    • DOI: 10.1007/s11242-016-0690-2

    Imaging and image processing in porous media research
    journal, September 2008


    Statistical fusion of two-scale images of porous media
    journal, November 2009


    On breakdown of macroscopic models of mixing-controlled heterogeneous reactions in porous media
    journal, November 2009


    Hybrid models of reactive transport in porous and fractured media
    journal, September 2011


    X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems
    journal, January 2013


    Homogenizability conditions for multicomponent reactive transport
    journal, December 2013


    Multi-scale, micro-computed tomography-based pore network models to simulate drainage in heterogeneous rocks
    journal, April 2015


    Intercomparison of 3D pore-scale flow and solute transport simulation methods
    journal, September 2016


    Modeling variability in porescale multiphase flow experiments
    journal, July 2017


    Minimum requirements for predictive pore-network modeling of solute transport in micromodels
    journal, October 2017


    Digital rock physics benchmarks—Part I: Imaging and segmentation
    journal, January 2013


    Digital rock physics benchmarks—part II: Computing effective properties
    journal, January 2013


    Applicability regimes for macroscopic models of reactive transport in porous media
    journal, March 2011


    Persistence of uranium groundwater plumes: Contrasting mechanisms at two DOE sites in the groundwater–river interaction zone
    journal, April 2013


    Physics-based hybrid method for multiscale transport in porous media
    journal, September 2017


    Dispersion controlled by permeable surfaces: surface properties and scaling
    journal, July 2016

    • Ling, Bowen; Tartakovsky, Alexandre M.; Battiato, Ilenia
    • Journal of Fluid Mechanics, Vol. 801
    • DOI: 10.1017/jfm.2016.431

    Hybrid Multiscale Modeling through Direct Substitution of Pore-Scale Models into Near-Well Reservoir Simulators
    journal, August 2012

    • Sun, Tie; Mehmani, Yashar; Balhoff, Matthew T.
    • Energy & Fuels, Vol. 26, Issue 9
    • DOI: 10.1021/ef301003b

    Universal Stochastic Multiscale Image Fusion: An Example Application for Shale Rock
    journal, November 2015

    • Gerke, Kirill M.; Karsanina, Marina V.; Mallants, Dirk
    • Scientific Reports, Vol. 5, Issue 1
    • DOI: 10.1038/srep15880

    Efficient component labeling of images of arbitrary dimension represented by linear bintrees
    journal, July 1988

    • Samet, H.; Tamminen, M.
    • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 10, Issue 4
    • DOI: 10.1109/34.3918

    An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on Hybrid Multiscale Methods
    journal, March 2014

    • Scheibe, Timothy D.; Murphy, Ellyn M.; Chen, Xingyuan
    • Groundwater, Vol. 53, Issue 1
    • DOI: 10.1111/gwat.12179

    Effective medium theory for drag-reducing micro-patterned surfaces in turbulent flows
    journal, March 2014


    Adaptive Optics for Astronomy
    journal, September 2012


    On Veracity of Macroscopic Lithium-Ion Battery Models
    journal, January 2015

    • Arunachalam, Harikesh; Onori, Simona; Battiato, Ilenia
    • Journal of The Electrochemical Society, Vol. 162, Issue 10
    • DOI: 10.1149/2.0771509jes

    Lattice Boltzmann-Based Approaches for Pore-Scale Reactive Transport
    journal, January 2015

    • Yoon, Hongkyu; Kang, Qinjun; Valocchi, Albert J.
    • Reviews in Mineralogy and Geochemistry, Vol. 80, Issue 1
    • DOI: 10.2138/rmg.2015.80.12

    CT artifacts: causes and reduction techniques
    journal, April 2012

    • Boas, F. Edward; Fleischmann, Dominik
    • Imaging in Medicine, Vol. 4, Issue 2
    • DOI: 10.2217/iim.12.13