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G. M. Hamada

Researcher at King Fahd University of Petroleum and Minerals

Publications -  41
Citations -  442

G. M. Hamada is an academic researcher from King Fahd University of Petroleum and Minerals. The author has contributed to research in topics: Petrophysics & Artificial neural network. The author has an hindex of 11, co-authored 36 publications receiving 372 citations. Previous affiliations of G. M. Hamada include Cairo University & United Arab Emirates University.

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Reservoir Fluids Identification Using Vp/Vs Ratio?

TL;DR: The use of the ratio of compressional wave velocity to shear wave velocity, Vp/Vs, is a good tool in identifying fluid type as mentioned in this paper, however, it is sensitive to the saturating fluid type.

Analysis Of Archie's Parameters Determination Techniques In Carbonate Reservoirs

TL;DR: In this article, three techniques were implemented to determine Archie's parameters; conventional technique, core Archie's parameter estimate technique and three-dimensional technique and water saturation profiles were generated using the different Archie parameters determined by the three techniques, these profiles have shown a significant difference in water saturation values and such difference could be mainly attributed to the uncertainty level for the calculated Archie parameters.
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Uncertainty analysis of Archie’s parameters determination techniques in carbonate reservoirs

TL;DR: In this paper, three techniques were implemented to determine Archie's parameters; conventional technique, core Archie's parameter estimate technique and three-dimensional technique and water saturation profiles were generated using the different Archie parameters determined by the three techniques, these profiles have shown a significant difference in water saturation values and such difference could be mainly attributed to the uncertainty level for the calculated Archie parameters.
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Petrophysical Evaluation of Low Resistivity Sandstone Reservoirs

TL;DR: Aguilera et al. as mentioned in this paper discussed the different reasons sandstone reservoir can have low resistivity, including the presence of conductive minerals such as clay minerals and pyrite in a clean reservoir rock.
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Petrophysical evaluation of low-resistivity sandstone reservoirs with nuclear magnetic resonance log

TL;DR: In this article, the authors presented two cases of low-resistivity reservoirs and low-contrast resistivity reservoirs, where conventional logs failed to determine the petrophysical properties of reservoirs.