PyGeoPressure
PyGeoPressure: Geopressure Prediction in Python - Published in JOSS (2018)
Science Score: 93.0%
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Found 10 DOI reference(s) in README and JOSS metadata -
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Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
Pore pressure prediction using seismic velocity and well log data
Basic Info
- Host: GitHub
- Owner: whimian
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://pygeopressure.readthedocs.io/en/latest/
- Size: 19.7 MB
Statistics
- Stars: 93
- Watchers: 14
- Forks: 48
- Open Issues: 10
- Releases: 1
Topics
Metadata Files
README.md
A Python package for pore pressure prediction using well log data and seismic velocity data.
Cite pyGeoPressure as:
Yu, (2018). PyGeoPressure: Geopressure Prediction in Python. Journal of Open Source Software, 3(30), 992, https://doi.org/10.21105/joss.00992
BibTex:
bibtex
@article{yu2018pygeopressure,
title = {{PyGeoPressure}: {Geopressure} {Prediction} in {Python}},
author = {Yu, Hao},
journal = {Journal of Open Source Software},
volume = {3},
pages = {922}
number = {30},
year = {2018},
doi = {10.21105/joss.00992},
}
Features
- Overburden (or Lithostatic) Pressure Calculation
- Eaton's method and Parameter Optimization
- Bowers' method and Parameter Optimization
- Multivariate method and Parameter Optimization
Getting Started
Installation
pyGeoPressure is on PyPI:
bash
pip install pygeopressure
Example
Pore Pressure Prediction using well log data
```python import pygeopressure as ppp
survey = ppp.Survey("CUG")
well = survey.wells['CUG1']
a, b = ppp.optimizenct(well.getlog("Velocity"), well.params['horizon']["T16"], well.params['horizon']["T20"]) n = ppp.optimizeeaton(well, "Velocity", "OverburdenPressure", a, b)
preseatonlog = well.eaton(np.array(well.get_log("Velocity").data), n)
fig, ax = plt.subplots() ax.invert_yaxis()
preseatonlog.plot(ax, color='blue') well.getlog("OverburdenPressure").plot(ax, 'g') ax.plot(well.hydrostatic, well.depth, 'g', linestyle='--') well.plot_horizons(ax) ```
Documentation
Read the documentaion for detailed explanations, tutorials and references: https://pygeopressure.readthedocs.io/en/latest/
Contribute
Report Bugs
If you find a bug, please report it at Github Issues by opening a new issue with bug label.
Suggest Enhancements
If you have new ideas or need new features, you can request them by opening a new issue at Github Issues with enhancement label. We will see if we can work on it together.
Submit Pull Requests
If you would like to help fix known bugs, please submit a PR. (See The beginner's guide to contributing to a GitHub project, if you are new to Github).
Before creating a pull request, please try to make sure the tests pass and use numpy-style docstrings. (Please see the documentation on setting up the development environment https://pygeopressure.readthedocs.io/en/latest/install.html)
Support
If you have any questions, please open an issue at Github Issues with question label. Tell us about your question, we will provide assistance. And maybe we could add it to the documentation.
License
The project is licensed under the MIT license, see the file LICENSE for details.
Owner
- Name: Yu Hao
- Login: whimian
- Kind: user
- Location: China
- Company: None
- Website: http://whimian.github.io
- Twitter: whimian
- Repositories: 7
- Profile: https://github.com/whimian
Ph.D. in Applied Geophysics.
JOSS Publication
PyGeoPressure: Geopressure Prediction in Python
Authors
Institute of Geophysics and Geomatics, China University of Geosciences
Editor
Kristen Thyng
Tags
geophysics geomechanics pore pressure well planningGitHub Events
Total
- Watch event: 9
- Fork event: 1
Last Year
- Watch event: 9
- Fork event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Yu Hao | y****9@l****n | 568 |
| Jesper Dramsch | j****r@d****t | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 17
- Total pull requests: 2
- Average time to close issues: about 2 months
- Average time to close pull requests: about 5 hours
- Total issue authors: 9
- Total pull request authors: 2
- Average comments per issue: 0.41
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- whimian (6)
- salsa360 (4)
- antineutrino2 (1)
- mgeier (1)
- gdma1977 (1)
- raincoder87 (1)
- sandragharbi (1)
- JesperDramsch (1)
- st83haki (1)
Pull Request Authors
- JesperDramsch (1)
- jokva (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 15 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 4
- Total maintainers: 1
pypi.org: pygeopressure
pyGeoPressure: Tools for geopressure prediction
- Homepage: https://github.com/whimian/pyGeoPressure
- Documentation: https://pygeopressure.readthedocs.io/
- License: MIT
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Latest release: 0.1.10
published about 7 years ago
Rankings
Maintainers (1)
Dependencies
- matplotlib *
- numpy *
- pandas *
- pytables *
- scikit-learn *
- scipy *
- segyio *
- future *
- matplotlib *
- matplotlib <3.0
- pandas *
- pathlib2 *
- scikit-learn *
- scipy *
- segyio *
- singledispatch *
- tables *