Depth Estimate and Mapping of source geometries from High Resolution Aeromagnetic (HRAM) data of Benisheikh, Nigeria

• Published in: IOP conference series. Earth and environmental science Vol. 173; no. 1; pp. 12034 - 12043
• Main Authors: Lawal, T.O., Sunday, J. A., Nwankwo, L.I., Orosun, M.M., Yusuf, K. A., Ige, S. O.
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.07.2018
• Subjects: Anomalies; Basements; Energy value; Geological mapping; High resolution; High Resolution Aeromagnetic data (HRAM); Mapping; Morlet Wavelet and geometrics features; Potential fields; Wavelet analysis; Wavelet transforms; Wavelets transform; Nigeria
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/173/1/012034

Depth to magnetic basement and mapping of source geometries were estimated from High Resolution Aeromagnetic (HRAM) data of Benisheikh using wavelet transformation technique. This technique was chosen because it has been proven to be a powerful and efficient tool in interpreting potential field data. In this work, a non-orthogonal wavelet function with a good symmetry and higher vanishing moment, Morlet was chosen as the analyzing wavelet. Wavelet power spectrums of the aeromagnetic anomalies were obtained using the scaled normalized analyzing wavelet in order to estimate the depth to the magnetic basement. Also, the square of the absolute value of the wavelet coefficient were plotted against the period in other to identify and map variations of pronounced and least energy values which can be regarded as magnetic source geometric features found from the HRAM data profiles. The results obtained from the analysis have shown the ability of wavelet transform as a tool in depth estimation and mapping of geological features of HRAM data of this part of Nigeria.