2.5D Modelling of Aeromagnetic Data and their Mining Implications over the Ngaoundere Area (Adamawa Province, Cameroon) — Oak Academic Publishing
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2.5D Modelling of Aeromagnetic Data and their Mining Implications over the Ngaoundere Area (Adamawa Province, Cameroon)
School of Geology and Mining Engineering, University of Ngaoundere, Meiganga, Cameroon
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Department of Petroleum, Mining & Groundwater Resources Exploration, Faculty of Mines and Petroleum Industries, University of Maroua, Maroua, Cameroun
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Postgraduate School of Science, Technologies & Geosciences, University of Yaoundé I, Yaoundé, Cameroon
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School of Geology and Mining Engineering, University of Ngaoundere, Meiganga, Cameroon
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Department of Physics, Advanced Teacher’s Training College, University of Yaoundé I, Yaoundé, Cameroon
1 School of Geology and Mining Engineering, University of Ngaoundere, Meiganga, Cameroon
2 Department of Petroleum, Mining & Groundwater Resources Exploration, Faculty of Mines and Petroleum Industries, University of Maroua, Maroua, Cameroun
3 Postgraduate School of Science, Technologies & Geosciences, University of Yaoundé I, Yaoundé, Cameroon
4 School of Geology and Mining Engineering, University of Ngaoundere, Meiganga, Cameroon
5 Department of Physics, Advanced Teacher’s Training College, University of Yaoundé I, Yaoundé, Cameroon
This study is based on the analysis and interpretation of aeromagnetic data using version 8.4 of the Geosoft Oasis Montaj Software, to map the subsurface or deep geological structures that affected the geological formations of the Ngaoundere area. The use of the standard aeromagnetic methods made it possible to draw up the maps of the residual magnetic field reduced to the equator (RTE), the horizontal gradient (HG), the analytical signal (AS) and that of the Euler solutions (ED) to find the main magnetic facies corresponding to these structures. The geological formations of the studied area thus appear to be intensely fractured by a NE-SW (N45°E) and ENE-WSW (N70°E) main orientation fault system, the depth of which has been estimated by combining the three-analytical methods HG, AS and ED. Advanced magmatic map analysis revealed dikes associated with vertical faults in the studied area. The development of an interpretative geological map taking into account the basic geology, the deep faults, the identified dikes and the mineralization index made it possible to extract a correlation between geological structures and mineralization of the studied area. The 2.5D modelling of two magnetic profiles plotted on the reduced residual map at the equator was performed to approximate the geometry and depth of the dikes sector, which are potential sources of mineralization here.
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