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Saudi Journal of Engineering and Technology (SJEAT)
Volume-4 | Issue-09 | 345-356
Original Research Article
Geostatistical Analysis of Mineral Deposit Associations using Soil, Stream Sediment, and Vein Geochemical Data from Kaiama, Northcentral Nigeria
V. C. Alepa, S. A. Alimi, A. P Babatunde, T. W. Andongma, D. S. Bonde
Published : Sept. 20, 2019
DOI : 10.36348/SJET.2019.v04i09.003
Abstract
The application of geostatistics to data obtained from mineral prospecting can provide useful information for evaluating mineralization potential. The objectives of this study were to evaluate the spatial distribution of elements, establish relationships and understand chemical associations during mineral paragenesis in the studied area of Kaiama, Northcentral Nigeria. Major Oxide and Trace element analysis were carried out on 17 samples collected from three geologic media which are stream sediments, soils, and veins. The Geochemical results were subjected to multivariate statistical treatments in the form of correlation matrix (CM), Factor analysis (PCA), along with hierarchical cluster analysis (HCA) in order to classify the elements into groups that may signify common origin. All multivariate statistical tests were performed using SPSS (PASW Statistics 18) for Windows. The trace element geochemical composition shows significant anomalous concentration of Sn, W, Ta, Ti, and Fe. Au, Cu shows moderate to very high correlation. Areas of significant anomalous concentration were in the 2-4 km eastern outskirt of Kaiama and as well as 6-10 km south of Kaiama. Sn-W were more to the eastern outskirt while Sn-Ta were more in the southern part of Kaiama. All other trace elements V, Ni, Sr, Sb, Cd etc. shows low concentration with each other and are not significant in the mineralization of Kaiama. Further exploration work should be concentrated on soils and stream sediments towards delineating the possible ore deposit in the area of Kaiama and environs.
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