Data-driven machine learning approach to predict mineralogy of organic-rich shales : an example from Qusaiba Shale, Rub’ al Khali Basin, Saudi Arabia

2022
journal article
article
34
cris.lastimport.wos2024-04-10T00:22:14Z
dc.affiliationWydział Geografii i Geologii : Instytut Nauk Geologicznychpl
dc.contributor.authorMustafa, Ayyazpl
dc.contributor.authorTariq, Zeeshanpl
dc.contributor.authorMahmoud, Mohamedpl
dc.contributor.authorRadwan, Ahmed Eid Ahmed - 464004 pl
dc.contributor.authorAbdulraheem, Abdulazeezpl
dc.contributor.authorAbouelresh, Mohamed Omarpl
dc.date.accessioned2022-11-23T10:32:51Z
dc.date.available2022-11-23T10:32:51Z
dc.date.issued2022pl
dc.description.additionalAhmed Eid Ahmed Radwan podpisany jako Ahmed E. Radwanpl
dc.description.volume137pl
dc.identifier.articleid105495pl
dc.identifier.doi10.1016/j.marpetgeo.2021.105495pl
dc.identifier.eissn1873-4073pl
dc.identifier.issn0264-8172pl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/304021
dc.languageengpl
dc.language.containerengpl
dc.pbn.affiliationDziedzina nauk ścisłych i przyrodniczych : nauki o Ziemi i środowiskupl
dc.rightsDodaję tylko opis bibliograficzny*
dc.rights.licencebez licencji
dc.rights.uri*
dc.subject.enmachine learningpl
dc.subject.enshale gaspl
dc.subject.enshale mineralogy predictionpl
dc.subject.enunconventional reservoirspl
dc.subject.enQusaiba shalepl
dc.subject.enshale lithofaciespl
dc.subject.enconventional logspl
dc.subtypeArticlepl
dc.titleData-driven machine learning approach to predict mineralogy of organic-rich shales : an example from Qusaiba Shale, Rub’ al Khali Basin, Saudi Arabiapl
dc.title.journalMarine and Petroleum Geologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-10T00:22:14Z
dc.affiliationpl
Wydział Geografii i Geologii : Instytut Nauk Geologicznych
dc.contributor.authorpl
Mustafa, Ayyaz
dc.contributor.authorpl
Tariq, Zeeshan
dc.contributor.authorpl
Mahmoud, Mohamed
dc.contributor.authorpl
Radwan, Ahmed Eid Ahmed - 464004
dc.contributor.authorpl
Abdulraheem, Abdulazeez
dc.contributor.authorpl
Abouelresh, Mohamed Omar
dc.date.accessioned
2022-11-23T10:32:51Z
dc.date.available
2022-11-23T10:32:51Z
dc.date.issuedpl
2022
dc.description.additionalpl
Ahmed Eid Ahmed Radwan podpisany jako Ahmed E. Radwan
dc.description.volumepl
137
dc.identifier.articleidpl
105495
dc.identifier.doipl
10.1016/j.marpetgeo.2021.105495
dc.identifier.eissnpl
1873-4073
dc.identifier.issnpl
0264-8172
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/304021
dc.languagepl
eng
dc.language.containerpl
eng
dc.pbn.affiliationpl
Dziedzina nauk ścisłych i przyrodniczych : nauki o Ziemi i środowisku
dc.rights*
Dodaję tylko opis bibliograficzny
dc.rights.licence
bez licencji
dc.rights.uri*
dc.subject.enpl
machine learning
dc.subject.enpl
shale gas
dc.subject.enpl
shale mineralogy prediction
dc.subject.enpl
unconventional reservoirs
dc.subject.enpl
Qusaiba shale
dc.subject.enpl
shale lithofacies
dc.subject.enpl
conventional logs
dc.subtypepl
Article
dc.titlepl
Data-driven machine learning approach to predict mineralogy of organic-rich shales : an example from Qusaiba Shale, Rub’ al Khali Basin, Saudi Arabia
dc.title.journalpl
Marine and Petroleum Geology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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