/Force-2020-Machine-Learning-competition_predict-lithology-EDA

Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest

Primary LanguageJupyter Notebook

2020 FORCE Machine Learning Contest - Exploratory Data Analysis

Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest

Machine Predicted Lithology

Overview at contest website

Conda setup

To create the conda environment for this tutorial run:

conda env create -f environment.yml

Interactive notebooks

To run the notebooks interactively with Binder click on the button below:

Binder

Licensing

Copyright 2020 Matteo Niccoli

This work is open source:

Creative Commons License
Text is licensed under a CC BY 4.0 Creative Commons License.

Code is Licensed under the Apache License, Version 2.0

As per contest rules: The well log labels used in this repo are licensed CC-BY-4.0. The well log data used in this repo is licensed as Norwegian License for Open Government Data (NLOD) 2.0. Any publication involving the well log data must cite “Lithofacies data was provided by the FORCE Machine Learning competition with well logs and seismic 2020”. For citation please use: Bormann P., Aursand P., Dilib F., Dischington P., Manral S. 2020. 2020 FORCE Machine Learning Contest