Abstract
The data covering Mayo Daga and Gashaka areas of Taraba State has been interpreted by applying source parameter imaging (SPI) and forward and inverse modeling methods. From the quantitative method of interpretation, it was found out that the magnetic intensity within the study area ranges from -129.9 to 186.6 nT in which the area is noticeably marked by both low and high magnetic signatures which may be as a result of several factors such as; susceptibility, degree of strike, difference in magnetic variation in depth and difference in lithology. From the quantitative interpretation, depth estimates obtained when SPI is employed shown minimum to maximum depth to anomalous source that ranges from 400.7 to 2119.2 m. Forward and inverse modeling estimated depths for profiles P1, P2, P3, and P4 were 2372, 2537, 1621 and 1586 m, respectively, with susceptibility values of 0.0754, 0.0251, 0.0028, and 0.001 respectively, suggesting that the bodies causing the anomaly are typical of igneous rocks; basalt and olivine, intermediate igneous rock; granites, and rocks mineral (quartz). Key words: Aeromagnetic data, source parameter imaging (SPI), qualitative and quantitative interpretation
Highlights
Minerals and hydrocarbon play vital roles in the socioeconomic development of a country of which Nigeria is not an exception
PRESENTATION AND DISCUSSION Interpreting the data quantitatively, the data was gridded to produce the total magnetic intensity (TMI) map of the study area which is in colour aggregate (Figure 2)
source parameter imaging (SPI) and forward and inverse modeling methods were used as part of quantitative interpretation
Summary
Minerals and hydrocarbon play vital roles in the socioeconomic development of a country of which Nigeria is not an exception. Aeromagnetic maps usually show changes in the earth’s magnetic field resulting from the properties of rock sediments (e.g. magnetic susceptibilities). Some minerals deposits are associated with abundance of magnetic minerals, and occasionally the target may itself be magnetic (e.g. iron ore deposits), but often the elucidation of surface structure of the upper crust is the most valuable contribution of the aeromagnetic data (Hamza and Garba, 2010). This method plays a distinguished role when compared with other geophysical methods, it is cheaper, faster and large area of land
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