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 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.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Davis, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of Ouro Preto, Ouro Preto (Brazil)
- 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)
- 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. https://doi.org/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. https://doi.org/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 = {Tue Oct 09 00:00:00 EDT 2012},
month = {Tue Oct 09 00:00:00 EDT 2012}
}
Web of Science
Figures / Tables:
Works referencing / citing this record:
Porous Media Characterization Using Minkowski Functionals: Theories, Applications and Future Directions
journal, November 2018
- Armstrong, Ryan T.; McClure, James E.; Robins, Vanessa
- Transport in Porous Media, Vol. 130, Issue 1
Pore Geometry Characterization by Persistent Homology Theory
journal, June 2018
- Jiang, Fei; Tsuji, Takeshi; Shirai, Tomoyuki
- Water Resources Research, Vol. 54, Issue 6
Preferential flow pathways in a deforming granular material: self-organization into functional groups for optimized global transport
journal, December 2019
- van der Linden, Joost H.; Tordesillas, Antoinette; Narsilio, Guillermo A.
- Scientific Reports, Vol. 9, Issue 1
A Survey of Topology-based Methods in Visualization
journal, June 2016
- Heine, C.; Leitte, H.; Hlawitschka, M.
- Computer Graphics Forum, Vol. 35, Issue 3
Visual Analysis of Charge Flow Networks for Complex Morphologies
journal, June 2019
- Kottravel, S.; Falk, M.; Masood, T. Bin
- Computer Graphics Forum, Vol. 38, Issue 3
Figures / Tables found in this record: