Structural Pattern of Egypt and Its Interpretation

Youssef, Mourad I.

doi:10.1306/5d25c44d-16c1-11d7-8645000102c1865d

Cited by 44 publications

(7 citation statements)

References 18 publications

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“…[2] stated that although the wadi Araba structure can be looked at as a large faulted upthrown block (Scholle), however, it is noted that the Carboniferous rocks exposed in its core show that they suffered folding movements. [1] stated that there are minor anticlines and synclines are recognized in Wadi Araba particularly in the Paleozoic rocks of the Rod El-Hamal locality, East Wadi Araba.…”

Section: Previous Workmentioning

confidence: 99%

Subsurface Structure Detection Using Geomagnetic Data Approach in Wadi Araba area, Gulf of Suez, Egypt

Abudeif

Ali

Mohammed

2023

Sohag Journal of Sciences

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One of the most attractive locations for oil and natural gas extraction is the Wadi Araba region in the Gulf of Suez, Egypt. The main objective of the present investigation is the analysis and interpretation of the available aeromagnetic data utilizing various modern processing techniques to map the subsurface structural framework and estimate the depth of these structures in the Wadi Araba. The total magnetic intensity (TMI) anomaly map of the study area was reduced to the north magnetic pole (RTP). This map was separated into regional and residual maps, then, they were analyzed qualitatively and quantitatively by Geosoft Oasis Montaj Software. Results of trend analysis indicated that there are four major trends in the study area, NW-SE (Suez Rift), NE-SE (Syrian Arc), E-W (Tethyan), and N-S (East African) arranged in decreasing order of their frequency magnitude where the trends of Suez and the Syrian are the most common. The deduced orientations are agreeable and presented in the surface structures. The presence of such two major trends (NW-SE) and (NE-SW) increases the potential of the study area to contain petroleum traps. This study deduced that the depth to the basement complex varies from 0.5 to 3 Km with an average of 1.8 Km, as indicated by the result of 2D power spectrum and 3D Euler deconvolution. The trend analysis indicates that the area is dissected by a group of structural fault trends that may be implemented as structural traps for petroleum accumulation in this region which needs more seismic studies to explore their types and geometry.

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Section: Previous Workmentioning

confidence: 99%

Subsurface Structure Detection Using Geomagnetic Data Approach in Wadi Araba area, Gulf of Suez, Egypt

Abudeif

Ali

Mohammed

2023

Sohag Journal of Sciences

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“…The Eocene plateau in the Nile valley is influenced by normal faults, strike-slip, and folds that exhibit tensional forces rather than compressional forces [40,41]. According to Youssef [42], faults typically follow the NE-SE (Gulf of Suez trend), NE-SW (Aqaba trend), and E-W trends (transverse trend).…”

Section: Geological Settingmentioning

confidence: 99%

Geophysical Prospecting of the Coptic Monastery of Apa Moses Using GPR and Magnetic Techniques: A Case Study, Abydos, Sohag, Egypt

et al. 2023

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As a result of new discoveries, there is a greater opportunity for development and investment in the Al-Arraba EL-Madfuna region of Abydos, Sohag Governorate, Egypt, which benefits tourism and increases the national economy. The Coptic monastery, which was originally established by Apa Moses, the patriarch of the Coptic Church during the ancient Roman Empire, has vanished inside the current market on this site, along with numerous tombs. As a result, the primary goal of this work is to prospect on this site for these potential archaeological features. Ground magnetic and ground-penetration radar (GPR) surveys were employed for discovering these archaeological issues. This work was done in coordination with the Supreme Council of Antiquities. Ground magnetic and GPR surveys were implemented using the G-857 proton-precession magnetometer and GSSI SIR 4000 with a 200 MHz antenna. The data were processed and interpreted using Geosoft Oasis Montaj and REFLEXW v.5.8 software packages. The magnetic data were filtered to separate the shallower anomalies representing the archaeological remains from those of the deeper ones. Butterworth high pass filter, first vertical derivatives, analytical signal, and tilt derivative were employed to carry out the processing stages. The results were analyzed qualitatively and quantitatively to describe these anomalies and determine their locations, geometrical shapes, and depths. The source parameter imaging technique and 3D Euler deconvolution were used to calculate the depths. The analysis of magnetic maps shows that the study site is characterized by a number of anomalies that occur and have geometric squares and rectangle shapes with depths ranging from 0.7 m to ≈4 m. Some of these anomalies are related to potential archaeological objects. GPR findings reveal considerably scattered hyperbolas along several profiles, which may indicate the presence of potential buried objects. The integration of magnetic and GPR results showed that there is some consistency in the identification of the locations of the likely buried archaeological objects and their depths (0.7 to 3 m) for the majority of the discovered targets. The findings of this study suggest excavating at this location and relocating the market in order to protect the buried antiquities from being lost to be safeguarded as a tourist destination target.

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“…Geologically, GC can be divided into three regions: the cultivated valley, the eastern, and the western sides of the Nile. The cultivated valley is the narrow strip that is penetrated longitudinally by the River Nile, made up of the thick uppermost sedimentary layers overlying the Pliocene deposits [59,60].…”

Section: Case Study and Materialsmentioning

confidence: 99%

Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo

et al. 2022

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The 1992 Cairo earthquake, with a moment magnitude of 5.8, is the most catastrophic earthquake to shock the Greater Cairo (GC) in recent decades. According to the very limited number of seismological stations at that time, the peak ground acceleration (PGA) caused by this event was not recorded. PGA calculation requires identification of nature of the earthquake source, the geologic setting of the path between the source and site under investigation and soil dynamic properties of the site. Soil dynamic properties are acquired by geotechnical investigations and/or geophysical survey. These two methods are costly and are not applicable in regional studies. This study presents an adaptive and reliable PGA prediction model using machine learning (ML) along with six standard geographic information system (GIS) interpolation methods (IDW, Kriging, Natural, Spline, TopoToR, and Trend) to predict the spatial distribution of PGA caused by this event over the GC. The model is employed to estimate the exposure of the urban area and population in the GC based on the available geotechnical and geophysical investigations. The exposure (population) data is from free and easy-access sources, e.g., Landsat images and the Global Human Settlement Population Grid (GHS-POP). The results show that Natural, Spline, and Trend are not suitable GIS interpolation techniques for generating seismic hazard maps (SHMs), while the Kriging Method shows sufficient prediction. Interestingly, with an accuracy of 96%, the ML model outperforms the classical GIS methodologies.

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Structural Pattern of Egypt and Its Interpretation

Cited by 44 publications

References 18 publications

Subsurface Structure Detection Using Geomagnetic Data Approach in Wadi Araba area, Gulf of Suez, Egypt

Subsurface Structure Detection Using Geomagnetic Data Approach in Wadi Araba area, Gulf of Suez, Egypt

Geophysical Prospecting of the Coptic Monastery of Apa Moses Using GPR and Magnetic Techniques: A Case Study, Abydos, Sohag, Egypt

Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo

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