FORCE 2020 Well well log and lithofacies dataset for machine learning competition
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 litholo...
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ftzenodo:oai:zenodo.org:4351156 2024-09-15T18:26:48+00:00 FORCE 2020 Well well log and lithofacies dataset for machine learning competition Bormann, Peter Aursand, Peder Dilib, Fahad Manral, Surrender Dischington, Peter 2020-12-18 https://doi.org/10.5281/zenodo.4351156 eng eng Zenodo https://doi.org/10.5281/zenodo.4351155 https://doi.org/10.5281/zenodo.4351156 oai:zenodo.org:4351156 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode lithofacies petrophysical well logs North SEA FORCE 2020 Machine Learnig competition GR NEU DENS well logs petrophysics info:eu-repo/semantics/other 2020 ftzenodo https://doi.org/10.5281/zenodo.435115610.5281/zenodo.4351155 2024-07-26T15:23:02Z 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 Other/Unknown Material Norwegian Sea Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
lithofacies petrophysical well logs North SEA FORCE 2020 Machine Learnig competition GR NEU DENS well logs petrophysics |
spellingShingle |
lithofacies petrophysical well logs North SEA FORCE 2020 Machine Learnig competition GR NEU DENS well logs petrophysics Bormann, Peter Aursand, Peder Dilib, Fahad Manral, Surrender Dischington, Peter FORCE 2020 Well well log and lithofacies dataset for machine learning competition |
topic_facet |
lithofacies petrophysical well logs North SEA FORCE 2020 Machine Learnig competition GR NEU DENS well logs petrophysics |
description |
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 |
format |
Other/Unknown Material |
author |
Bormann, Peter Aursand, Peder Dilib, Fahad Manral, Surrender Dischington, Peter |
author_facet |
Bormann, Peter Aursand, Peder Dilib, Fahad Manral, Surrender Dischington, Peter |
author_sort |
Bormann, Peter |
title |
FORCE 2020 Well well log and lithofacies dataset for machine learning competition |
title_short |
FORCE 2020 Well well log and lithofacies dataset for machine learning competition |
title_full |
FORCE 2020 Well well log and lithofacies dataset for machine learning competition |
title_fullStr |
FORCE 2020 Well well log and lithofacies dataset for machine learning competition |
title_full_unstemmed |
FORCE 2020 Well well log and lithofacies dataset for machine learning competition |
title_sort |
force 2020 well well log and lithofacies dataset for machine learning competition |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://doi.org/10.5281/zenodo.4351156 |
genre |
Norwegian Sea |
genre_facet |
Norwegian Sea |
op_relation |
https://doi.org/10.5281/zenodo.4351155 https://doi.org/10.5281/zenodo.4351156 oai:zenodo.org:4351156 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.435115610.5281/zenodo.4351155 |
_version_ |
1810467432864677888 |