Published May 28, 2017
| Supplemental Material
Journal Article
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Image-Based Modeling of Granular Porous Media
Abstract
We propose a new method of modeling granular media that utilizes a single two- or three-dimensional image and is formulated based on a Markov process. The process is mapped onto one that minimizes the difference between the image and a stochastic realization of the granular medium and utilizes a novel approach to remove possible unphysical discontinuities in the realization. Quantitative comparison between the morphological properties of the realizations and representative examples indicates excellent agreement.
Additional Information
© 2017 American Geophysical Union. Received 2 MAR 2017; Accepted 27 APR 2017; Accepted article online 2 MAY 2017; Published online 21 MAY 2017. The first author would like to thank the financial support from the University of Wyoming for this research. Work at USC was supported in part by the Petroleum Research Fund, administered by the American Chemical Society. All the data and digital content in this manuscript can be accessed by sending an e-mail to P.T. at ptahmase@uwyo.edu. We thank the Editor and reviewers for their constructive comments.Attached Files
Supplemental Material - grl55869-sup-0001-2017GL073938_SI.pdf
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Additional details
- Eprint ID
- 77130
- Resolver ID
- CaltechAUTHORS:20170502-144505731
- University of Wyoming
- American Chemical Society Petroleum Research Fund
- Created
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2017-05-02Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field