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pyGeoPressure: Tools for geopressure prediction

Project description

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

DOI

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

  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:

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)
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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.

Project details


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