Metadata-Version: 2.1
Name: pyGeoPressure
Version: 0.1.10
Summary: pyGeoPressure: Tools for geopressure prediction
Home-page: https://github.com/whimian/pyGeoPressure
Author: Yu Hao
Author-email: yuhao@live.cn
License: MIT
Download-URL: https://github.com/whimian/pyGeoPressure
Keywords: pore pressure prediction
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Natural Language :: English
Requires-Python: >=2.7, <3.7
Description-Content-Type: text/markdown
Requires-Dist: future
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: tables
Requires-Dist: segyio
Requires-Dist: pathlib2; python_version == "2.7"
Requires-Dist: singledispatch; python_version == "2.7"
Requires-Dist: matplotlib (<3.0); python_version == "2.7"
Requires-Dist: matplotlib; python_version > "2.7"

<!-- # pyGeoPressure -->
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1452001.svg)](https://doi.org/10.5281/zenodo.1452001)


A Python package for pore pressure prediction using well log data and seismic velocity data.


[![DOI](http://joss.theoj.org/papers/10.21105/joss.00992/status.svg)](https://doi.org/10.21105/joss.00992)

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

1. Overburden (or Lithostatic) Pressure Calculation
2. Eaton's method and Parameter Optimization
3. Bowers' method and Parameter Optimization
4. 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.optimize_nct(well.get_log("Velocity"),
                        well.params['horizon']["T16"],
                        well.params['horizon']["T20"])
n = ppp.optimize_eaton(well, "Velocity", "Overburden_Pressure", a, b)

pres_eaton_log = well.eaton(np.array(well.get_log("Velocity").data), n)

fig, ax = plt.subplots()
ax.invert_yaxis()

pres_eaton_log.plot(ax, color='blue')
well.get_log("Overburden_Pressure").plot(ax, 'g')
ax.plot(well.hydrostatic, well.depth, 'g', linestyle='--')
well.plot_horizons(ax)
```

<img src="docs/img/readme_example.svg" alt="Logo" height="600">

# 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](https://github.com/whimian/pyGeoPressure/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](https://github.com/whimian/pyGeoPressure/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](https://akrabat.com/the-beginners-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](https://github.com/whimian/pyGeoPressure/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](<https://github.com/whimian/pyGeoPressure/blob/master/LICENSE>) for details.


