Improving permeability prediction via Machine Learning in a heterogeneous carbonate reservoir: application to Middle Miocene Nullipore, Ras Fanar field, Gulf of Suez, Egypt
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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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
- Creator
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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.
- Contributor
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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
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Khalid, Mostafa S.
- Mansour, Ahmed S.
- Desouky, Saad El-Din M.
- Afify, Walaa S. M.
- Ahmed, Sayed F.
- Elnaggar, Osama M.
- SpringerLink (Online service)