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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)


Article Title: Euler 3-D Deconvolution of Analytical Signal of Magnetic Anomalies over Iron Ore deposit in Okene, Nigeria
by J.O. Amigun, O. Afolabi and B.D. Ako

The Euler deconvolution of analytical signal of the magnetic field data over the iron ore deposit in Okene, North central Nigeria has been carried out to determine the locations and depths of the iron ore bodies and other geologic sources in the area. The methodology adopted was obtaining solutions by inverting Euler homogeneity equation which relates the magnetic field and its gradient components to the location of the source of an anomaly and with the degree of homogeneity expressed as structural index. The Euler deconvolution process was carried out on the analytical grid of aeromagnetic data of the study area using a structural index of 1.0, 2.0 and 3.0 respectively. The Euler solutions for structural index of 1.0 have their depths ranges from 11 to 120m. For the Euler solutions S.I = 2.0, cluster solutions of relatively deep depth of between 234 to 242m are obtained. Their anomalous source location and pattern (Northeast - Southwest) coincides with the outcropped iron ore bodies at the central ore zone of the study area. The estimated depths and geometries provided by the Euler deconvolution result will aid the mine design and the economic exploitation of the iron ore deposit in the study area.
Keywords: Euler deconvolution, iron ore deposit, analytic signal, magnetic field, homogeneity.
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom



Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010