Metadata-Version: 2.1
Name: pyGeoPressure
Version: 0.1.8
Summary: pyGeoPressure: Tools for geopressure prediction
Home-page: https://github.com/whimian/pyGeoPressure
Author: Yu Hao
Author-email: yuhao@live.cn
License: MIT
Download-URL: https://github.com/whimian/pyGeoPressure
Description: <!-- # pyGeoPressure -->
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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`:
        
        ```bash
        pip install pygeopressure
        ```
        
        ## Example
        
        ### Pore Pressure Prediction using well log data
        
        ```python
        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)
        ```
        
        <img src="docs/img/readme_example.svg" alt="Logo" height="600">
        
        # Documentation
        
        Read the documentaion for detailed explanations, tutorials and references:
        https://pygeopressure.readthedocs.io/en/latest/
        
        # Contribute
        
        - Issue Tracker: https://github.com/whimian/pyGeoPressure/issues
        - Source Code: https://github.com/whimian/pyGeoPressure
        
        # Support
        
        If you have any questions, please open an issue.
        
        # License
        
        The project is licensed under the MIT license, see the file [LICENSE](<https://github.com/whimian/pyGeoPressure/blob/master/LICENSE>) for details.
        
Keywords: pore pressure prediction
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Natural Language :: English
Requires-Python: >=2.7, <3.7
Description-Content-Type: text/markdown
