Relative permeability estimation using mercury injection capillary pressure measurements based on deep learning approaches
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Relative permeability estimation using mercury injection capillary pressure measurements based on deep learning approaches ; volume:14 ; number:7 ; day:30 ; month:5 ; year:2024 ; pages:1933-1951 ; date:7.2024
Journal of petroleum exploration and production technology ; 14, Heft 7 (30.5.2024), 1933-1951, 7.2024
- Urheber
-
Duan, Ce
Kang, Bo
Deng, Rui
Zhang, Liang
Wang, Lian
Xu, Bing
Zhao, Xing
Qu, Jianhua
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s13202-024-01826-3
- URN
-
urn:nbn:de:101:1-2410100726122.189338160139
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:26 MESZ
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Beteiligte
- Duan, Ce
- Kang, Bo
- Deng, Rui
- Zhang, Liang
- Wang, Lian
- Xu, Bing
- Zhao, Xing
- Qu, Jianhua
- SpringerLink (Online service)
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