Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models ; day:24 ; month:7 ; year:2024 ; pages:1-20
Multiscale and multidisciplinary modeling, experiments and design ; (24.7.2024), 1-20
- Klassifikation
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Elektrotechnik, Elektronik
- Urheber
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Krishna, Shwetank
Irfan, Sayed Ameenuddin
Keshavarz, Sahar
Thonhauser, Gerhard
Ilyas, Suhaib Umer
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s41939-024-00542-z
- URN
-
urn:nbn:de:101:1-2410100731266.039793277113
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Krishna, Shwetank
- Irfan, Sayed Ameenuddin
- Keshavarz, Sahar
- Thonhauser, Gerhard
- Ilyas, Suhaib Umer
- SpringerLink (Online service)
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