Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: 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

Creator: Shabdirova, Ainash
Kozhagulova, Ashirgul
Samenov, Yernazar
Minh, Nguyen
Zhao, Yong

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11053-024-10389-3

URN: urn:nbn:de:101:1-2501292122408.579269009230

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:20 AM CEST

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Shabdirova, Ainash
Kozhagulova, Ashirgul
Samenov, Yernazar
Minh, Nguyen
Zhao, Yong
SpringerLink (Online service)

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Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan

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Other Objects (12)

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