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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.

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

Support

If you have any questions, please open an issue.

License

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

Project details


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