Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf. Issue 1 (February 2023)

Record Type:: Journal Article
Title:: Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf. Issue 1 (February 2023)
Main Title:: Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf
Authors:: Osah, Ukari
Howell, John
Is Part Of:: Petroleum geoscience. Volume 29:Issue 1(2023:Feb.)
Journal:: Petroleum geoscience
Issue:: Volume 29:Issue 1(2023:Feb.)
Issue Display:: Volume 29, Issue 1 (2023)
Year:: 2023
Volume:: 29
Issue:: 1
Issue Sort Value:: 2023-0029-0001-0000
Page Start:
Page End:
Publication Date:: 2023-02
Subjects:: Petroleum -- Prospecting -- Periodicals
622.1828
Journal URLs:: https://pg.lyellcollection.org/content/by/year ↗
https://www.lyellcollection.org/journal/pg ↗
https://www.geolsoc.org.uk/publications ↗
DOI:: ↗
Languages:: English
ISSNs:: 1354-0793
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 26360.xml