PetroPy
PetroAnalysis
A Python package for geoscience computing of formation evaluation data
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.
179 stars
25 watching
66 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
formation-evaluationgeosciencepetrophysicsreservoir-characterization
Related projects:
Repository | Description | Stars |
---|---|---|
| Tools and utilities for processing, analyzing, modeling, and visualizing magnetotelluric data in Python | 147 |
| Provides a curated list of Python packages useful in hydrology and related research | 441 |
| A Python package for time series classification and analysis | 1,781 |
| A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
| A Python library for performing geospatial data analysis and geometric calculations using JavaScript-inspired algorithms | 121 |
| Lithology and stratigraphic log analysis tool using Python | 205 |
| A Python library for analyzing and processing hydrological data from various sources. | 24 |
| A Python package for analyzing and writing hydrological timeseries data | 58 |
| Tools for analyzing astrophysical simulation data from various codes | 167 |
| Calculates real-world measurements from oblique images and time-lapse image series of glacial environments. | 42 |
| An introduction to using Python in geoscience applications | 462 |
| Provides tools for conducting pairwise multiple comparisons tests in statistical data analysis | 354 |
| A collection of Python tools for analyzing borehole images and assessing reservoir geomechanics. | 58 |
| This project provides a Python implementation of various deep learning architectures for pixel-wise segmentation tasks. | 384 |
| Analytical toolbox for groundwater hydrograph data | 47 |