Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan ; volume:33 ; number:6 ; day:9 ; month:8 ; year:2024 ; pages:2789-2805 ; date:12.2024
Natural resources research ; 33, Heft 6 (9.8.2024), 2789-2805, 12.2024
- Urheber
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Shabdirova, Ainash
Kozhagulova, Ashirgul
Samenov, Yernazar
Minh, Nguyen
Zhao, Yong
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s11053-024-10389-3
- URN
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urn:nbn:de:101:1-2501292122408.579269009230
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
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Beteiligte
- Shabdirova, Ainash
- Kozhagulova, Ashirgul
- Samenov, Yernazar
- Minh, Nguyen
- Zhao, Yong
- SpringerLink (Online service)
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