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A.M. Abudeif

Researcher at Sohag University

Publications -  36
Citations -  595

A.M. Abudeif is an academic researcher from Sohag University. The author has contributed to research in topics: Geology & Lithology. The author has an hindex of 10, co-authored 25 publications receiving 375 citations.

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Multicriteria decision analysis based on analytic hierarchy process in GIS environment for siting nuclear power plant in Egypt

TL;DR: Multi-Criteria Decision Analysis was applied during the selection of nuclear power plants site using GIS software and the El Dabaa site was found to be most suitable, followed by the East El Negila site on the Mediterranean Sea.
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Pore and fracture pressure modeling using direct and indirect methods in Badri Field, Gulf of Suez, Egypt

TL;DR: In this article, the pore pressure and fracture gradient were evaluated using well logging data namely density, resistivity, gamma-ray and sonic logs obtained from offshore wells in Badri Field.
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Geopressure evaluation using integrated basin modelling, well-logging and reservoir data analysis in the northern part of the Badri oil field, Gulf of Suez, Egypt

TL;DR: In this paper, the pore pressure and fracture gradient model has been assessed using integrated data that include: burial history, well logs (sonic, resistivity and density), offset wells drilling problems, and reservoir pressure.
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New simulation technique to estimate the hydrocarbon type for the two untested members of Belayim Formation in the absence of pressure data, Badri Field, Gulf of Suez, Egypt

TL;DR: In this paper, a new simulation technique was applied using well logging crossplot responses in the different hydrocarbon types (oil and/or gas), which were tested before to estimate the fluid type in the untested two studied zones.
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Investigative petrophysical fingerprint technique using conventional and synthetic logs in siliciclastic reservoirs: A case study, Gulf of Suez basin, Egypt

TL;DR: In this paper, a new technique adopted from the geochemical fingerprint technique termed petrophysical fingerprint has been used to distinguish equivocal Petrophysical characteristics, a combination of synthetic and raw logs was plotted on crossplots charts and correlated to previous oil and gas well tests.