Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity. Issue 1 (2022)

Record Type:: Journal Article
Title:: Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity. Issue 1 (2022)
Main Title:: Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity
Authors:: Hall, Alexander
Gillespie, Martin
Everett, Paul
Christodoulou, Vyron
Walsh, Jo
Is Part Of:: Quarterly journal of engineering geology and hydrogeology. Volume 55:Issue 1(2022)
Journal:: Quarterly journal of engineering geology and hydrogeology
Issue:: Volume 55:Issue 1(2022)
Issue Display:: Volume 55, Issue 1 (2022)
Year:: 2022
Volume:: 55
Issue:: 1
Issue Sort Value:: 2022-0055-0001-0000
Page Start:
Page End:
Publication Date:: 2022
Subjects:: Hydrogeology -- Periodicals
Engineering geology -- Periodicals
624.151
Journal URLs:: https://www.geolsoc.org.uk/publications ↗
http://qjegh.lyellcollection.org/ ↗
https://www.lyellcollection.org/journal/qjegh ↗
DOI:: ↗
Languages:: English
ISSNs:: 1470-9236
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:: 21680.xml