Skip to main content

pyGeoPressure: Tools for geopressure prediction

Project description


PyPI version GitHub release license Documentation Status Build Status Codacy Badge codecov DOI

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,


  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},


  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


pyGeoPressure is on PyPI:

pip install pygeopressure


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"),
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()

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


Read the documentaion for detailed explanations, tutorials and references:


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


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.


The project is licensed under the MIT license, see the file LICENSE for details.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyGeoPressure, version 0.1.10
Filename, size & hash File type Python version Upload date
pyGeoPressure-0.1.10-py2.py3-none-any.whl (56.1 kB) View hashes Wheel py2.py3
pyGeoPressure-0.1.10.tar.gz (59.9 kB) View hashes Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page