# Detection of Mineralization Zones Using Aeromagnetic Data  
[PERSON]  
1 Geology Department, Faculty of Science, Assit University, Assitut 71516, Egypt 12 [PERSON] Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia 2  
[PERSON]  
1 Geology Department, Faculty of Science, Assit University, Assit 71516, Egypt 1  
[PERSON]  
2 [PERSON] Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia 2  
[PERSON]  
3 Geology Department, Faculty of Science, Sohag University, Sohag 82524, Egypt 3  
[PERSON]  
4 Faculty of Civil Engineering and Geoscience, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands 4  
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Footnote  
The present study covers the applications and importance of high-resolution aero-magnetic data for delineating the structural (deep-seated and shallow-seated) and tectonic trends that control the mineral occurrence. Therefore, at the Barramiya, Abu Marwa, and Abu Mireiwah sites in Egypt, we have analyzed the aeromagnetic data to delineate the alteration zones, geological structures, geological boundaries, and depth to the rock of conceivable basement mineralization zones that are linked to hydrothermally altered zones. The study area has been subjected to previous geophysical studies, including paleomagnetic studies on some chromite ores [9] and others using aeromagnetic data to create the curie point depth map by means of the spectral analysis technique [10], but it is the first time that the aeromagnetic data has been analysed using the new Centre for Exploration Targeting (CET) grid analysis technique to map out geological structures and highlight the best places to look for minerals.. The edges of the sources were detected by many authors, who introduced the new techniques based on the ratios of gradients of the gravity data, where the edge detection filter was based on the ratio of the derivatives of the THG and called the logistic function of the total horizontal gradient (THG) [11; 12] have used a novel filter called Balanced Horizontal Gradient for the magnetic data from central India to improve the subsurface bodies' edges, which circumvent the restrictions of traditional filters. We applied some techniques to the reduced to pole (RTP) magnetic data such as the first vertical derivative (FVD), analytical signal (AS), tilt derivative (TDR), THG, high pass derivative (HP), low pass (LP), power spectrum, and CET Grid and Porphyr Analyses using the Geosoft program.  
Figure 1: Geological map of El-Barramiya-Abo Marwa area, Eastern Desert (modified after [13]).