Geophysical Magnetic Data Analyses of the Geological Structures with Mineralization Potentials Over the Southern Part of Kebbi, NW Nigeria
More details
Hide details
Department of Applied Geophysics, Federal University Birnin Kebbi, Nigeria.
Department of Geophysics, Federal University of Technology Minna, Nigeria.
Department of Geology, Federal University of Technology Minna, Nigeria.
Abdulrahaman Idris Augie   

Department of Applied Geophysics, Federal University Birnin Kebbi, Nigeria.
Mining Science 2022;29:179–203
This study used geophysical data analysis to map and provide useful estimates of the geometry, depth, and magnetization of the magnetic sources, as a continuation and improvement over the earlier analyses in the area. Fugro airborne surveys collected aeromagnetic data for the Nigeria Geological Survey Agency (NGSA) between 2009 and 2010. The study area's data were processed and analyzed using an improved tilt derivative (TDR) technique and 2D magnetic structural modelling. The result of TDR reveals the horizontal location and extent of the edges of various magnetic sources that formed lineaments. The results from 2D modelling for the selected profiles (PI, P2, P3, P4, and P5) identify zones with a high magnetic anomaly responding to fractures. These fracture regions of the basement complex area could be caused by fault/shear zones. Fault-induced areas on these sub-basin floors are important hosts for hydrothermal mineralization. In comparison to the geological setting, these regions are underlain by quartz-mica schist, biotite-hornblende, granite, biotite, gneiss, diorite, migmatite, medium coarse-grained sandstone, ironstones, laterite, siltstones, and clay. These regions could be suitable for mineral exploration and correspond to the Ngaski, Yauri, Magama, Shanga, and Rijau. However, in comparison to the SPI results, the depth/thickness of the sediments that crossed the areas of the sedimentary basin and basement complex zones did not match the results of 2D forward modelling. The SPI technique usually provides an average depth of the magnetic source and is unable to accurately map the undulating basement.
ADAMA M., ABU M., and NAEEM A.N., 2019, 2D-Modeling of the major structures within the Chad Basin, Nigeria, from aeromagnetic data, International Journal of Science and Research Methodology, 12 (4), 99–113.
ADETONA A.A., SALAKO K.A., and RAFIU A.A., 2018, Delineating the lineaments within the major structures around eastern part of Lower Benue Trough from 2009 aeromagnetic data, FUW Trends in Science and Technology Journal, 3 (1), 175–179.
ADEWUMI T. and SALAKO K.A., 2018, Delineation of mineral potential zone using high resolution aeromagnetic data over part of Nasarawa state, north central, Nigeria, Egyptian Journal of Petro-leum, 27 (4), 759–767,
AUGIE A.I., SALAKO K.A., RAFIU A.A., and JIMOH M.O., 2021, Estimation of depth to structures associated with gold mineralisation potential over southern part of Kebbi state using aeromagnet-ic data. [in:] Federal University of Technology Minna, 3rd School of Physical Sciences Biennial International Conference, Futminna 2021, 290–297.
AUGIE A.I., SALAKO K.A., RAFIU, A.A., and JIMOH M.O., 2022, Geophysical assessment for gold mineralization potential over the southern part of Kebbi state using aeromagnetic data, Ge-ology, Geophysics and Environment, 48 (2), 177–193,
BLAKELY R.J., 1996, Potential theory in gravity and magnetic application, Cambridge University Press, Cambridge, pp. 441.
BONDE D.S., LAWALI S., and SALAKO K.A., 2019, Structural mapping of solid mineral potential zones over southern part of Kebbi state, northwestern Nigeria, Journal of Scientific and Engineer-ing Research, 6 (7), 229–240.
CORE D., BUCKINGHAM A., and BELFIELD S., 2009, Detailed structural analysis of magnetic data-done quickly and objectively, SGEG Newsletter, 1 (2), 15–21.
DANBATTA U.A., 2008, Precambrian crustal development in the north-western part of Zuru schist belt, northwestern Nigeria. Journal of Mining and Geology, 44 (1), 43–56.
EJEPU J.S., UNUEVHO C.I., AKO T.A., and ABDULLAHI S., 2018, Integrated geosciences pro-specting for gold mineralization in Kwakuti, north-central Nigeria, Journal of Geology and Min-ing, 10 (7), 81–94,.
HOLDEN E.J., DENTITH M., and KAVESI P., 2008, Towards the automatic analysis of regional aeromagnetic data to identify regions prospective for gold deposits, Computer Geoscience, 34, 1505–1513,
ISLES D.T and RANKIN L.R., 2013, Geophysical interpretation of aeromagnetic data, Australian Society of Exploration Geophysicist, CSIRO Publishing, 150, Oxford Street, Collingwood VIC 3066, Austria.
LAWAL M.M., SALAKO K.A., ABBAS M., ADEWUMI T., AUGIE A.I., and KHITA M., 2021, Geophysical investigation of possible gold mineralization potential zones using a combined air-borne magnetic data of lower Sokoto basin and its environs, northwestern Nigeria, International Journal of Progressive Sciences and Technologies (IJPSAT) 30 (1), 1–16.
LAWALI S., SALAKO K.A., and BONDE D.S., 2020, Delineation of mineral potential zones over lower part of Sokoto basin, northwestern Nigeria using aeromagnetic data, Academic Research International, 11 (2), 19–29.
MAGHFIRA P.D. and NIASARI S.W., 2017, Magnetic data analysis to determine the subsurface structures in Candiumbul geothermal prospect area, central java, American Institute of Physics (AIP) Conference Proceedings 1861, 030041,
MILLER H.G. and SINGH V.J., 1994, Potential field tilt: a new concept for location of potential field sources, Applied Geophysics, 32, 213–217,
NGSA, 2006, Nigerian Geological Survey Agency.
ODIDI I.G., MALLAM A., and NASIR N., 2020, Depth to magnetic sources determination using source parameter imaging (SPI) of aeromagnetic data of parts of central and north-eastern Nige-ria: a reconnaissance tool for geothermal exploration in the area, Science World Journal, 15 (3), 19–23.
PHAM L.T., 2021, A high resolution edge detector for interpreting potential field data: a case study from the Witwatersrand basin, South Africa, Journal of African Earth Sciences, 178,
j.jafrearsci. 2021.104190.
PHAM L.T., OKSUM E., DO T.D., LE-HUY M., VU M.D., and NGUYEN V.D., 2019, LAS: A com-bination of the analytic signal amplitude and the generalized logistic function as a novel edge en-hancement of magnetic data, Contributions to Geophysics and Geodesy, 49(4), 425–440.
PHAM L.T., OKSUM E., LE D.V., FERREIRA F.J.F., and LE S.T., 2021, Edge detection of potential field sources using the softsign function, Geocarto International.
PHAM L.T., VU T.V., THI S.L., Trinh and P.T. (2020). Enhancement of potential field source boundaries using an improved logistic filter, Pure and Applied Geophysics, 177, 5237–5249,
RAMADAN T.M. and ABDELFATTAH M.F., 2010, Characterization of gold mineralization in garin hawal area, kebbi state, nw nigeria, using remote sensing, Egyptian Journal of Remote Sensing and Space Science, 13 (2), 153–163,
REEVES C., 2005, Aeromagnetic surveys: principles, practice and interpretation, Earthworks-Global Thinking in Exploration Geoscience, Geosoft.
TALWANI M. and HEIRTZLER J.R., 1964, Computation of magnetic anomalies caused by two di-mensional structures of arbitrary shape in computers in the mineral industries, Geological Sci-ences, 9, 464–480.
TALWANI M., SUTTON G.H., and WORZEL J.L., 1959, A crustal section across the Puerto Rico trench, Journal of Geophysical Research, 64 (10), 1545–1555.
THOMPSON D.T., 1982, EULDPH: A new technique for making computer-assisted depth estimates from magnetic data, Geophysics, 47 (1), 31–37,
THURSTON J.B. and SMITH R.S., 1997, Automatic conversion of magnetic data to depth, dip and susceptibility contrast using the SPITM method, Geophysics, 62 (3), 807–813,
WRIGHT J.B., 1985, Geology and mineral resources of West Africa, Science, 58–59,