dc.contributor.author | Alkabaa, Abdulaziz S. | |
dc.contributor.author | Nazemi, Ehsan | |
dc.contributor.author | Taylan, Osman | |
dc.contributor.author | Kalmoun, El Mostafa | |
dc.date.accessioned | 2022-02-10T11:51:00Z | |
dc.date.available | 2021-11-02T16:00:11Z | |
dc.date.available | 2022-02-10T11:51:00Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 2227-7390 | |
dc.identifier.other | WOS:000671105300001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/37811.2 | |
dc.source | WOS | |
dc.title | Application of Artificial Intelligence and Gamma Attenuation Techniques for Predicting Gas-Oil-Water Volume Fraction in Annular Regime of Three-Phase Flow Independent of Oil Pipeline's Scale Layer | |
dc.type | Journal article | |
dc.contributor.imecauthor | Nazemi, Ehsan | |
dc.contributor.orcidext | Alkabaa, Abdulaziz S.::0000-0001-9016-4241 | |
dc.contributor.orcidext | Taylan, Osman::0000-0002-5806-3237 | |
dc.contributor.orcidext | Kalmoun, El Mostafa::0000-0002-1434-2541 | |
dc.contributor.orcidimec | Nazemi, Ehsan::0000-0001-5457-6943 | |
dc.identifier.doi | 10.3390/math9131460 | |
dc.source.numberofpages | 14 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 1460 | |
dc.source.journal | MATHEMATICS | |
dc.source.issue | 13 | |
dc.source.volume | 9 | |
imec.availability | Published - open access | |