pyGeoPressure 0.1.10

Description:

pyGeoPressure 0.1.10

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:
@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:
pip install pygeopressure

Example
Pore Pressure Prediction using well log data
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)


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.