Seismic attribute integration and neural network analysis for quantitative reservoir characterization:A case study from the Offshore Nile Delta(Egypt)OA
Seismic attribute integration and neural network analysis for quantitative reservoir characterization:A case study from the Offshore Nile Delta(Egypt)
Adel Mahmoud Negm;Mohamed I.Abdel-Fattah;Mansour H.Al-Hashim;Mohamed Reda
Geology Department,Faculty of Science,Al-Azhar University,11884,Cairo,EgyptPetroleum Geosciences and Remote Sensing Program,Department of Applied Physics and Astronomy,College of Sciences,University of Sharjah,27272,Sharjah,United Arab Emirates||Geology Department,Faculty of Science,Suez Canal University,Ismailia,EgyptDepartment of Geology and Geophysics,College of Science,King Saud University,Riyadh 11451,Saudi ArabiaGeology Department,Faculty of Science,Al-Azhar University,11884,Cairo,Egypt||Department of Petroleum Engineering,College of Engineering,Almaaqal University,61014 Basrah,Iraq
Seismic attributesNeural networksPost-stack inversionSpectral decompositionReservoir characterizationOffshore Nile Delta
Seismic attributesNeural networksPost-stack inversionSpectral decompositionReservoir characterizationOffshore Nile Delta
《石油研究（英文）》 2026 (2)
346-360,15
This study is supported by Ongoing Research Funding program,(ORF-2025-781),King Saud University,Riyadh,Saudi Arabia.
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