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pyGeoPressure: Tools for geopressure prediction

Project description


PyPI version GitHub release license Documentation Status Build Status Codacy Badge codecov - Columns and their card count

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


  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:



If you have any questions, please open an issue.


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

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