2D modeling and inversion of the magnetic data in Shahmirzad area, Semnan, Iran, for depth and shape determination of the iron-ore body
M.Darijani1, B.Oskooi11Institute of Geophysics, University of Tehran, Iran
Accepted to the 8th Iranian Student Conference of Mining Engineering, November 2011, oral.
Accepted to the Iranian Journal of Geophysics. May 2012.
Abstract
In this study, we had a method for magnetic data inversion to make 2D susceptibility models of an area with a suitable potential of Iron-ore. We made use of a 2D inversion method to study the magnetic data of Shahmirzad located in Semnan province, to evaluate the hematite mineralization in the area. After data acquisition and processing, we apply an automatic 2D inversion for two profiles. This algorithm is based on physical parameter distribution method. The subsurface beneath the studied profile is divided to a great number of infinitely long horizontal prisms with unknown susceptibility. Solving an underdetermined system of equation in MATLAB will result in magnetic susceptibility distribution inside the earth which is related to hematite content of rocks. Inversion results on selected profiles, has detected some anomaly sources trending E-W. After the modeling and inversion and using mask signal method for two profiles of the Shahmirzad magnetic data, finally, the models show a steep anomaly in this region with the average thickness of 10 m and approximately 5m to 25m in depth with 100m along. This iron-ore contains hematite mineral with susceptibility of 0.05, located on the middle of the area of study between igneous intrusive masses and limestone.
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