FORCE 2020 Well well log and lithofacies dataset for machine learning competition ...

• Main Authors: Bormann, Peter, Aursand, Peder, Dilib, Fahad, Manral, Surrender, Dischington, Peter
• Format: Dataset
• Language: English
• Published: Zenodo 2020
• Subjects: , lithofacies , petrophysical, well logs, North SEA, FORCE, 2020, Machine Learnig competition, GR, NEU, DENS,, well, logs, petrophysics; Norwegian Sea
• Online Access: https://dx.doi.org/10.5281/zenodo.4351156; https://zenodo.org/record/4351156

This well log dataset from 118 wells in the Norwegian Sea that has been used in the FORCE 2020 machine learning competition with seismic and wells to predict the lithofacies using machine learning models. The well logs have been slightly cleaned up and partially despiked. The lithofacies and lithology interpretation has been hand crafted using skilled geoscientists (Thanks to Explocrowd for excellent work). For citation in addition to the DOI please also refer to the github repository where the documentation and trained models reside https://github.com/bolgebrygg/Force-2020-Machine-Learning-competition The original well log data comes form the Norwegian government and is provided by a NOLD 2.0 license ...