Improving permeability prediction via Machine Learning in a heterogeneous carbonate reservoir: application to Middle Miocene Nullipore, Ras Fanar field, Gulf of Suez, Egypt

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
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
Khalid, Mostafa S.
Mansour, Ahmed S.
Desouky, Saad El-Din M.
Afify, Walaa S. M.
Ahmed, Sayed F.
Elnaggar, Osama M.
Contributor
SpringerLink (Online service)

DOI
10.1007/s12665-024-11534-0
URN
urn:nbn:de:101:1-2407090908295.648287161604
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:51 AM CEST

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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)

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