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Complex resistivity of mineral rocks in the context of the generalised effective‐medium theory of the induced polarisation effect
Author(s) -
Zhdanov Michael S.,
Burtman Vlad,
Endo Masashi,
Lin Wei
Publication year - 2018
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/1365-2478.12581
Subject(s) - mineralogy , electrical resistivity and conductivity , induced polarization , pyrite , geology , scanning electron microscope , magnetite , mineral , igneous petrology , context (archaeology) , economic geology , materials science , engineering geology , hydrogeology , telmatology , tectonics , geotechnical engineering , physics , composite material , metallurgy , volcanism , paleontology , quantum mechanics
This paper develops the generalised effective‐medium theory of induced polarisation for rock models with elliptical grains and applies this theory to studying the complex resistivity of typical mineral rocks. We first demonstrate that the developed generalised effective‐medium theory of induced polarisation model can correctly represent the induced polarisation phenomenon in multiphase artificial rock samples manufactured using pyrite and magnetite particles. We have also collected representative rock samples from the Cu–Au deposit in Mongolia and subjected them to mineralogical analysis using Quantitative Evaluation of Minerals by Scanning Electron Microscopy technology. The electrical properties of the same samples were determined using laboratory complex resistivity measurements. As a result, we have established relationships between the mineral composition of the rocks, determined using Quantitative Evaluation of Minerals by Scanning Electron Microscopy analysis, and the parameters of the generalised effective‐medium theory of induced polarisation model defined from the laboratory measurements of the electrical properties of the rocks. These relationships open the possibility for remote estimation of types of mineralisation and for mineral discrimination using spectral induced polarization data.