- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Data-driven assessment of well stimulation in unconventional gas reservoirs ; volume:14 ; number:1 ; day:28 ; month:12 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (28.12.2024), 1-11, 12.2024
- Klassifikation
-
Ingenieurwissenschaften und Maschinenbau
- Urheber
-
Yang, Jian
Li, Song
Zeng, Ji
Yang, Zhaozhong
Li, Xiaogang
He, Tingting
Yi, Liangping
Kong, Bing
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-82454-z
- URN
-
urn:nbn:de:101:1-2503062126282.465095475719
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yang, Jian
- Li, Song
- Zeng, Ji
- Yang, Zhaozhong
- Li, Xiaogang
- He, Tingting
- Yi, Liangping
- Kong, Bing
- SpringerLink (Online service)
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