TY - JOUR ID - 266 TI - Approximate resistivity and susceptibility mapping from airborne electromagnetic and magnetic data, a case study for a geologically plausible porphyry copper unit in Iran JO - Journal of Mining and Environment JA - JME LA - en SN - 2251-8592 AU - Abedi, Maysam AU - Norouzi, Gholam-Hossain AU - Fathianpour, Nader AU - Gholami, Ali AD - Department of Mining Engineering, University of Tehran AD - Department of Mining Engineering, College of Engineering, University of Tehran, Iran AD - Department of Mining Engineering, Isfahan University of Technology, Iran AD - Institute of Geophysics, University of Tehran, Tehran, Iran Y1 - 2013 PY - 2013 VL - 4 IS - 2 SP - 133 EP - 146 KW - Electromagnetic and Magnetic data KW - Approximate inversion KW - Electrical resistivity KW - Magnetic susceptibility KW - Porphyry copper unit DO - 10.22044/jme.2013.266 N2 - This paper describes the application of approximate methods to invert airborne magnetic data as well as helicopter-borne frequency domain electromagnetic data in order to retrieve a joint model of magnetic susceptibility and electrical resistivity. The study area located in Semnan province of Iran consists of an arc-shaped porphyry andesite covered by sedimentary units which may have potential of mineral occurrences, especially porphyry copper. Based on previous studies, which assume a homogenous half-space earth model, two approximate methods involving the Siemon and the Mundry approaches are used in this study to generate a resistivity-depth image of underground geologically plausible porphyry unit derived from airborne electromagnetic data. The 3D visualization of the 1D inverted resistivity models along all flight lines provides a resistive geological unit which corresponds to the desired porphyry andesite. To reduce uncertainty arising from single geophysical model, i.e., the resistivity model acquired from the frequency domain electromagnetic data, a fast implementable approach for 3D inversion of magnetic data called the Lanczos bidiagonalization method is also applied to the large scale airborne magnetic data in order to construct a 3D distribution model of magnetic susceptibility, by which the obtained model consequently confirms the extension of an arc-shaped porphyry andesite at depth. The susceptible-resistive porphyry andesite model provided by integrated geophysical data indicates a thicker structure than what is shown on the geological map while extends down at depth. As a result, considering simultaneous interpretation of airborne magnetic and frequency domain electromagnetic data certainly yield lower uncertainty in the modeling of andesite unit as a potential source of copper occurrences. UR - https://jme.shahroodut.ac.ir/article_266.html L1 - https://jme.shahroodut.ac.ir/article_266_75fc9ebcac74e12095abe774941a5b6d.pdf ER -