SEG 2016 Machine Learning Contest
SEG 2016 machine learning contest repo (facies classification from well logs; blind wells STUART and CRAWFORD), closed (https://github.com/seg/2016-ml-contest)
- Publisher
- SEG (The Leading Edge, tutorial de Brendon Hall)
- Category
- Open dataset
- Disciplines
- Core, Well headers and locations, Wireline logs
- Licence
- the dataset is not openly licensed
- Formats
- csv
- Wells
- no consta; se citan STUART, CRAWFORD y SHANKLE
- Time range
- concurso cerrado el 31 de enero de 2017; rango de los datos no consta
- Record id
seg-2016-ml-contest· JSON
Verification
Read on 2026-11-04 by a web reader that only opens the page, never downloads data. Status of the page: ok. Relevance to subsurface work: alta.
- Type
- dataset
- Access as written
- abierto (descargable)
- Licence as written
- «the dataset is not openly licensed» (código Apache-2.0)
Quoted from the source
Please note that the dataset is not openly licensed.
— github.com/seg/2016-ml-contestIt is shared here exclusively for use on this problem, in this contest.
— github.com/seg/2016-ml-contest
Research notes
Contradicción: la barra lateral de GitHub muestra Apache-2.0, pero el README trata los datos como propietarios. Tampoco consta si llegó la noticia prometida para principios de 2017. La disciplina core se infiere del fichero blind_stuart_crawford_core_facies.csv. Ficheros de datos a la vista: training_data.csv, facies_vectors.csv, nofacies_data.csv y validation_data_nofacies.csv. Mejor F1 final: 0,6388 (LA_Team).
Notes are kept in the working language of the research (Spanish).
Cite this record
Credit the original provider first; mention Open Well Data (Daniel Delgado-Uriarte) if it helped you find or check the source.
SEG (The Leading Edge, tutorial de Brendon Hall). SEG 2016 Machine Learning Contest. https://github.com/seg/2016-ml-contest. Page checked by Open Well Data on 2026-11-04. Found through Open Well Data (Delgado-Uriarte, 2026), https://openwelldata.org/source/seg-2016-ml-contest/.