Improving permeability prediction via Machine Learning in a heterogeneous carbonate reservoir: application to Middle Miocene Nullipore, Ras Fanar field, Gulf of Suez, Egypt
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Improving permeability prediction via Machine Learning in a heterogeneous carbonate reservoir: application to Middle Miocene Nullipore, Ras Fanar field, Gulf of Suez, Egypt ; volume:83 ; number:8 ; day:8 ; month:4 ; year:2024 ; pages:1-20 ; date:4.2024
Environmental earth sciences ; 83, Heft 8 (8.4.2024), 1-20, 4.2024
- Urheber
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Khalid, Mostafa S.
Mansour, Ahmed S.
Desouky, Saad El-Din M.
Afify, Walaa S. M.
Ahmed, Sayed F.
Elnaggar, Osama M.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s12665-024-11534-0
- URN
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urn:nbn:de:101:1-2407090908295.648287161604
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:51 MESZ
Datenpartner
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Beteiligte
- Khalid, Mostafa S.
- Mansour, Ahmed S.
- Desouky, Saad El-Din M.
- Afify, Walaa S. M.
- Ahmed, Sayed F.
- Elnaggar, Osama M.
- SpringerLink (Online service)
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