Dataset Open Access

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

Bormann, Peter; Aursand, Peder; Dilib, Fahad; Manral, Surrender; Dischington, Peter

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

 

Files (170.1 MB)
Name Size
LAS_files_Force_2020_all_wells_train_test_blind_hidden_final.zip
md5:da0d72d5783a780ac71779453d9fbfbf
169.8 MB Download
lithology scoring matrix cost function.xlsx
md5:61bd1a80b00a22b53ce8cd54150a1da0
14.6 kB Download
NPD_Casing_depth_most_wells.xlsx
md5:45e291e6e5ff251056ff288978ef4ffb
27.1 kB Download
NPD_Lithostratigraphy_groups_all_wells.xlsx
md5:5c42fbc98b446c170fd9924dfd5cf546
80.8 kB Download
NPD_Lithostratigraphy_member_formations_all_wells.xlsx
md5:f17eb022983ec728a5e811892aeea41b
168.5 kB Download
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