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A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.
Comprehensive analysis and evaluation of well log data for subsurface reservoir characterization. Includes gamma ray tool design, quality control of wireline logs, porosity, permeability, and water saturation calculations using advanced petrophysical methods. Features machine learning models for lithofacies classification and case study.