Reservoir quality determination through petrophysical analysis of El Wastani Formation in Scarab Field, Offshore Nile Delta, Egypt

El-Gawad, Esam A. Abd; Abdelwahhab, Mohammad A.; Bekiet, Mahmoud H.; Nooh, Ahmed Z.; El-Aziz, Nahla Abd El-moktader Abd; fouda, abdelhamed elsayed

doi:10.21608/absb.2019.13007.1010

Cited by 1 publication

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“…(Abd Elaziz et al, 2022). The basic equations expressing the relation between the intensity of natural gamma-ray radiation and volume of shale (Dresser Atlas, 1979) are: which can is corrected to Vsh using the equation of Larionov (1969): Vsh = 0.083 (23.7 IGR -1) where:…”

Section: Petrophysical Analysismentioning

confidence: 99%

“…The main hydrocarbon-bearing formation is the Late Pliocene El-Wastani Formation. The main reservoirs in this field are El-Wastani Formation Channels 1 and 2 (Ch-1 and Ch-2) (El-Gawad et al, 2019;Ghoneimi et al, 2021). Suites of logs comprise up the data collection that was made available for the present study, including GR, resistivity, DT (DTCO and DTSM), RHOZ and APLC logs in four wells of Scrb (Dd, Da, Db and 1, as illustrated in Figure 1).…”

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confidence: 99%

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Petrophysical and Rock Physics Analysis Using Well Log Data for Gas Detection in Scarab Gas Field, West Delta Deep Marine Concession, Egypt

Bakry

Ghoneimi

Nabih

et al. 2023

Bulletin of Faculty of Science, Zagazig University

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The present study aims to detect the lithology and pore-fluid from well log data using the rock physics templates. The results show that we can potentially discriminate between different types of lithological facies and fluid type to predict the accumulations of the potential hydrocarbons. The crossplotting technique of the rock properties is carried out using well log data from the Scrb field in the Western Offshore Nile Delta area. The available well log data; comprising the gamma-ray, resistivity, density, neutron and sonic logs were used. The interpretation of the log data shows a high resistivity, low GR, and low values of acoustic impedance, the gas-bearing interval is identified. To identify the rock attributes from the supplied log data, the petrophysical parameters are initially assessed before the conducting rock physics cross-plotting. This is achieved using the cross-plot of the Vp against Vs, density and Vp, Lambda-Rho and Mu-Rho, P-impedance and Poisson's ratio, P-impedance and Vp/Vs ratio, and Poisson's ratio and bulk modulus. The effective porosity (PHIE), shale volume (Vsh), water saturation (Sw), and hydrocarbon saturation (Sh) are used to color-code each cross plot. Cross-plotting is executed and Lambda Rho (λρ) cross-plots demonstrated to be more reliable for lithology determination than Vp against Vs cross-plots. The effective porosity average values are within the range from 24% to 30%, shale content within the range from 20% to 27%, water saturation within the range from 16% to 23%, hydrocarbon saturation ranges from 77% to 83%.

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Section: Petrophysical Analysismentioning

confidence: 99%

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confidence: 99%