Prediction of fluid oil and gas volumes of shales with a deep learning model and its application to the Bakken and Marcellus shales
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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Prediction of fluid oil and gas volumes of shales with a deep learning model and its application to the Bakken and Marcellus shales ; volume:12 ; number:1 ; day:2 ; month:12 ; year:2022 ; pages:1-9 ; date:12.2022
Scientific reports ; 12, Heft 1 (2.12.2022), 1-9, 12.2022
- Urheber
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Şen, Şamil
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41598-022-23406-3
- URN
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urn:nbn:de:101:1-2023021321430153267483
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.20252025, 07:34 MESZ
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Beteiligte
- Şen, Şamil
- SpringerLink (Online service)
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