Application of Enhanced Techniques of Aeromagnetic Data to Study Subsurface Structure in El-Urf Area, Northern Eastern Desert, Egypt

Document Type : Original Article

Authors

1 Geology Department, Faculty of Sciences, Menoufia University

2 Exploration Division Head of the Department of Geophysical follow -up of Exploration Nuclear Materials Authority

3 Geology Department, Faculty of Science, Monufia University, Monufia, Egypt.

Abstract

Airborne magnetic data were acquired by Aero-Service, in 1984 in Egypt`s Eastern Desert, covering Gabal El-Urf area and its surroundings. Precambrian basement rocks (PBR) are dominated by younger granites (Gy). Furthermore, region of study may contain radioactive materials. The magnetic measurements indicate variations in the sources' depths and magnetic susceptibilities. Therefore, this data is used to find out the positions and depths of the magnetic bodies they have formed. This work deals with separation of RTP map to detect the regional (deep seated) and the Residual (shallow seated) by using radially averaged power spectrum. Usage of separation illustrated that, the igneous basement components within range depths from 100m to more than 1000m and less than 100m for noise component. By Using Source Parameter imaging technique, this depth method shows comparable outcomes. The basement sources are located between 150 and about 1500 meters below the surface. The structural frameworks of the area and basement faults have been identified through investigation and interpretation of magnetic data. NE-SW is the major fault trend for RTP map from rose diagram in the study region. There is also another trend North West – South East and East -West. For Regional map, the major trend of the study area is North North East (NNE) –South South West (SSW). Additionally, there is another trend NW-SE and NE-SW. For Residual map the major trends of the research region are NW-SE, NE-SW, WNW-ESE and E-W. This work detects the suggested Faults along two W-E Profiles and another two perpendicular S-N Profiles and detects the depth values of their intersection point. The valleys' depth in the research area is the final and most significant finding in relation to the study's goal. This is because radioactive materials are thought to be trapped by it.

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