Effective-medium inversion of induced-polarization data for mineral exploration and mineral discrimination: Case study for the copper deposit in Mongolia
- Michael Zhdanov (University of Utah) | Masashi Endo (TechnoImaging) | Vladimir Burtman (University of Utah) | Martin Cuma (University of Utah) | Leif Cox (TechnoImaging) | David Sunwall (TechnoImaging)
- Document ID
- Society of Exploration Geophysicists
- 2016 SEG International Exposition and Annual Meeting, 16-21 October, Dallas, Texas
- Publication Date
- Document Type
- Conference Paper
- 2016. Society of Exploration Geophysicists
- Mining, Inversion, Electrical/resistivity, 3D, Electromagnetic
- 0 in the last 30 days
- 13 since 2007
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This paper develops a novel method of 3D inversion of induced polarization (IP) survey data, based on a generalized effective-medium model of the IP effect (GEMTIP). The electrical parameters of the new effective-conductivity model are determined by the intrinsic petrophysical and geometrical characteristics of composite media, such as the mineralization and/or fluid content of rocks and the matrix composition, porosity, anisotropy, and polarizability of formations. The GEMTIP model of multiphase conductive media provides a quantitative tool for evaluation of the type of mineralization, and the volume content of different minerals using EM data. The developed method takes into account the nonlinear nature of both electromagnetic induction and IP phenomena and inverts the EM data in the parameters of the GEMTIP model. The goal of the inversion is to determine the electrical conductivity and the intrinsic chargeability distributions, as well as the other parameters of the relaxation model simultaneously. The recovered parameters of the relaxation model can be used for the discrimination of different rocks, and in this way may provide an ability to distinguish between uneconomic mineral deposits and zones of economic mineralization using geophysical remote sensing technology.
Presentation Date: Tuesday, October 18, 2016
Start Time: 2:15:00 PM
Presentation Type: ORAL
|File Size||1 MB||Number of Pages||5|
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