skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Augmented Topological Descriptors of Pore Networks for Material Science

Abstract

One potential solution to reduce the concentration of carbon dioxide in the atmosphere is the geologic storage of captured CO 2 in underground rock formations, also known as carbon sequestration. There is ongoing research to guarantee that this process is both efficient and safe. We describe tools that provide measurements of media porosity, and permeability estimates, including visualization of pore structures. Existing standard algorithms make limited use of geometric information in calculating permeability of complex microstructures. This quantity is important for the analysis of biomineralization, a subsurface process that can affect physical properties of porous media. This paper introduces geometric and topological descriptors that enhance the estimation of material permeability. Our analysis framework includes the processing of experimental data, segmentation, and feature extraction and making novel use of multiscale topological analysis to quantify maximum flow through porous networks. We illustrate our results using synchrotron-based X-ray computed microtomography of glass beads during biomineralization. As a result, we also benchmark the proposed algorithms using simulated data sets modeling jammed packed bead beds of a monodispersive material.

Authors:
 [1];  [1];  [2];  [3];  [4];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Davis, CA (United States)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of Ouro Preto, Ouro Preto (Brazil)
  4. Univ. of California, Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1511341
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Visualization and Computer Graphics
Additional Journal Information:
Journal Volume: 18; Journal Issue: 12; Journal ID: ISSN 1077-2626
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Reeb graph; persistent homology; topological data analysis; geometric algorithms; segmentation; microscopy

Citation Formats

Ushizima, Daniela, Morozov, Dmitriy, Weber, Gunther H., Bianchi, Andrea G. C., Sethian, James A., and Bethel, E. Wes. Augmented Topological Descriptors of Pore Networks for Material Science. United States: N. p., 2012. Web. doi:10.1109/TVCG.2012.200.
Ushizima, Daniela, Morozov, Dmitriy, Weber, Gunther H., Bianchi, Andrea G. C., Sethian, James A., & Bethel, E. Wes. Augmented Topological Descriptors of Pore Networks for Material Science. United States. doi:10.1109/TVCG.2012.200.
Ushizima, Daniela, Morozov, Dmitriy, Weber, Gunther H., Bianchi, Andrea G. C., Sethian, James A., and Bethel, E. Wes. Tue . "Augmented Topological Descriptors of Pore Networks for Material Science". United States. doi:10.1109/TVCG.2012.200. https://www.osti.gov/servlets/purl/1511341.
@article{osti_1511341,
title = {Augmented Topological Descriptors of Pore Networks for Material Science},
author = {Ushizima, Daniela and Morozov, Dmitriy and Weber, Gunther H. and Bianchi, Andrea G. C. and Sethian, James A. and Bethel, E. Wes},
abstractNote = {One potential solution to reduce the concentration of carbon dioxide in the atmosphere is the geologic storage of captured CO2 in underground rock formations, also known as carbon sequestration. There is ongoing research to guarantee that this process is both efficient and safe. We describe tools that provide measurements of media porosity, and permeability estimates, including visualization of pore structures. Existing standard algorithms make limited use of geometric information in calculating permeability of complex microstructures. This quantity is important for the analysis of biomineralization, a subsurface process that can affect physical properties of porous media. This paper introduces geometric and topological descriptors that enhance the estimation of material permeability. Our analysis framework includes the processing of experimental data, segmentation, and feature extraction and making novel use of multiscale topological analysis to quantify maximum flow through porous networks. We illustrate our results using synchrotron-based X-ray computed microtomography of glass beads during biomineralization. As a result, we also benchmark the proposed algorithms using simulated data sets modeling jammed packed bead beds of a monodispersive material.},
doi = {10.1109/TVCG.2012.200},
journal = {IEEE Transactions on Visualization and Computer Graphics},
number = 12,
volume = 18,
place = {United States},
year = {2012},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 18 works
Citation information provided by
Web of Science

Save / Share: