corepytools 0.0.3

CorePy: XRF clustering tools to interpret and visualize geological core data

CorePytools package

CorePytools (CorePy) is designed to perform machine learning on data collected from geological samples of core.

The primary focus of CorePy is to classify high resolution X-ray fluoresence data into chemofacies using unsupervised and supervised clustering tools.

CorePy establishes a folder structure multiple users to work on the same datasets, and also provides visualizations that are useful to validate clustering results.

Core box photographs can be cropped and unsed to visualized chemofacies results

Wireline log data can be upsampled and data integrated to chemofacies for upscaling

Installation

pip install corepytools

Example and data

PCAexample.py builds the data folder structure, performs PCA aanlysis and K-means clustering. Results are exported to an output file

Core data (Public_XRF.csv) is provided in the authors github account to show the database format (required headings) that are called on with CorePy

About the authors

CorePy is being developed by Toti Larson at the University of Texas at Austin, Bureau of Economic Geology, Mudrocks Systems Research Laboratory (MSRL) research consortium.

1. Toti E. Larson, Ph.D. - Research Associate at the University of Texas at Austin. PI MSRL research consortium

2. Esben Pedersen, M.S. - Graduate student (graduated 2020) at the University of Texas at Austin.

3. Priyanka Periwal, Ph.D. - Research Science Associate at the University of Texas at Austin.

4. J. Evan Sivil - Research Science Associate at the University of Texas at Austin.

5. Ana Letícia Batista - Undergraduate at Jackson State University (graduated 2020). 2020 Jackson School of Geosciences GeoForce Student

Package Inventory

CorePytools.py

Package Dependencies

os numpy pandas seaborn pickle glob matplotlib.pyplot seaborn as sns sklearn.preprocessing import StandardScaler sklearn.decomposition import PCA sklearn.cluster import KMeans matplotlib.patheffects

Notes

Install corepytools using pip install corepytools

Follow over to the authors Github account to download example Python scripts that use corepytools

Folder structure

corepytools

|-LICENSE.txt         **MIT**

|-README.md           **edited in markdown**

|-setup.py            **name=corepy-tools, package=src, python module=corepytools**

|-src

    |-corepytools    **contains functions**

    |-__init__.py     ** empty**