Leak-Off Pressure Using Weakly Correlated Geospatial Information and Machine Learning Algorithms

dc.contributor.author	Choi, Jung Chan
dc.contributor.author	Liu, Zhongqiang
dc.contributor.author	Lacasse, Suzanne
dc.contributor.author	Skurtveit, Elin
dc.date.accessioned	2021-10-12T08:40:48Z
dc.date.available	2021-10-12T08:40:48Z
dc.date.created	2021-08-05T15:42:13Z
dc.date.issued	2021
dc.identifier.citation	Geosciences. 2021, 11 (4), .
dc.identifier.issn	2076-3263
dc.identifier.uri	https://hdl.handle.net/11250/2789215
dc.language.iso	eng
dc.title	Leak-Off Pressure Using Weakly Correlated Geospatial Information and Machine Learning Algorithms
dc.type	Peer reviewed
dc.type	Journal article
dc.description.version	publishedVersion
dc.source.pagenumber	0
dc.source.volume	11
dc.source.journal	Geosciences
dc.source.issue	4
dc.identifier.doi	10.3390/geosciences11040181
dc.identifier.cristin	1924205
dc.relation.project	Norges forskningsråd: 257579
dc.relation.project	CLIMIT: 280472
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	1