Effective prediction of lost circulation from multiple drilling variables: a class imbalance problem for machine and deep learning algorithms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2190-0566
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Effective prediction of lost circulation from multiple drilling variables: a class imbalance problem for machine and deep learning algorithms ; volume:12 ; number:1 ; day:8 ; month:12 ; year:2021 ; pages:83-98 ; date:1.2022
Journal of petroleum exploration and production technology ; 12, Heft 1 (8.12.2021), 83-98, 1.2022
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s13202-021-01411-y
- URN
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urn:nbn:de:101:1-2022042419215851932613
- 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
- Wood, David
- Mardanirad, Sajjad
- Zakeri, Hassan
- SpringerLink (Online service)
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