Subsurface Structure Detection Using Geomagnetic Data Approach in Wadi Araba area, Gulf of Suez, Egypt | ||
| Sohag Journal of Sciences | ||
| Volume 8, Issue 3, September 2023, Pages 337-346 PDF (795.92 K) | ||
| Document Type: Regular Articles | ||
| DOI: 10.21608/sjsci.2023.200869.1071 | ||
| Authors | ||
| Abdelbaset M. Abudeif* ; Mahmoud Abdallah Ali; Mohammed A. Mohammed | ||
| Geology Department, Faculty of Science, Sohag University, Sohag, 82524, Egypt. | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Aeromagnetic data; subsurface trends; regionals; residuals; Euler deconvolution | ||
|
Statistics Article View: 200 PDF Download: 271 |
||
