geometric_characterization
Set of Jupyter Notebooks for geometric characterization of porous media images from DPM Portal.
https://github.com/digital-porous-media/geometric_characterization
Science Score: 44.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.5%) to scientific vocabulary
Repository
Set of Jupyter Notebooks for geometric characterization of porous media images from DPM Portal.
Basic Info
- Host: GitHub
- Owner: digital-porous-media
- Language: HTML
- Default Branch: main
- Homepage: https://www.digitalrocksportal.org/
- Size: 4.32 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 3
- Releases: 2
Metadata Files
README.md
Geometric Characterization Workflow
This tutorial includes a set of Jupyter Notebooks for the geometric characterization of porous media images from the Digital Rocks Portal. There are three notebooks for the characterization. These are: 1. Minkowski Functionals; 2. Heterogeneity Measurement; 3. Competent Subset Selection.
In (1), we calculate four Minkowski functionals in 3D. These functionals are volume, surface area, integral mean curvature, and Euler characteristic.
In (2), we measure whether a rock sample is heterogeneous or homogeneous based on scale-independent porosity variance calculations within a moving window of increasing size.
In (3), we chose a subset of the data that is good enough for visualization, simulation, and 3D printing.
Owner
- Name: Digital Porous Media
- Login: digital-porous-media
- Kind: organization
- Email: bcchang@utexas.edu
- Website: https://www.digitalrocksportal.org/
- Repositories: 1
- Profile: https://github.com/digital-porous-media
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
cff-version: 1.2.0
title: geometric_characterization
message: >-
If you use this software, you can cite it using the
metadata from this file.
type: software
authors:
- given-names: 'Bernard '
family-names: Chang
email: bcchang@utexas.edu
affiliation: The University of Texas at Austin
orcid: 'https://orcid.org/0000-0000-0000-0000'
- given-names: Cinar
family-names: Turhan
email: cinarturhan@utexas.edu
affiliation: The University of Texas at Austin
orcid: 'https://orcid.org/0000-0003-2533-7016'
- given-names: Ali
family-names: Mohamed
email: ali.mohamed@austin.utexas.edu
affiliation: The University of Texas at Austin
orcid: 'https://orcid.org/0000-0000-0000-0000'
- given-names: Masa
family-names: Prodanovic
email: masha@utexas.edu
affiliation: The University of Texas at Austin
orcid: 'https://orcid.org/0000-0000-0000-0000'
#identifiers:
# - type: doi
# value: 10.1234/zenodo.1234
# description: To be filled
repository-code: 'https://github.com/orgs/digital-porous-media/repositories'
url: >-
https://github.com/digital-porous-media/geometric_characterization
abstract: >-
Set of Jupyter Notebooks for geometric characterization of
porous media images from the DPM Portal.
keywords:
- minkowski
- porous-media
- 3d-subset
- digital-rocks
license: MIT
version: '1.0.0'
date-released: '2024-02-14'
CodeMeta (codemeta.json)
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"dateCreated": "2024-01-10",
"datePublished": "2024-02-14",
"dateModified": "2024-02-14",
"issueTracker": "https://github.com/digital-porous-media/geometric_characterization/issues",
"name": "geometric_characterization",
"version": "1.0.0",
"identifier": "10.1234/zenodo.1234",
"description": "Set of Jupyter Notebooks for geometric characterization of porous media images from the DPM Portal.",
"applicationCategory": "Geosciences",
"releaseNotes": "Initial release",
"developmentStatus": "concept",
"isPartOf": "https://github.com/digital-porous-media",
"keywords": [
"minkowski",
"porous-media",
"3d-subset",
"digital-rocks"
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}
GitHub Events
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Dependencies
- connected-components-3d *
- ipywidgets *
- matplotlib *
- notebook *
- numpy *
- pandas *
- porespy *
- pyarrow *
- pyvista *
- quantimpy *
- scikit-image *
- scipy *
- tifffile *
- tqdm *
- trimesh *
- wget *
- edt *
- matplotlib *
- numpy *
- scipy *