Time-domain induced polarization (IP) data are used for approach to ore prospecting problems on the flanks of the Julietta gold-silver deposit. IP time-domain data are analyzed on the basis of the Debye decomposition, which allows reconstruction of the relaxation time distribution. Experimental dependences of the IP parameters on the main petrophysical properties of disseminated ores were used to interpret field data. The Debye decomposition helped to identify zones of hydrothermally and metasomatically altered rocks containing finely disseminated sulfide minerals, which were missed when using the standard procedure for the analysis of IP data. The estimated content of sulfide minerals in the altered rocks agrees with geological data.
This paper presents the results of 2D mathematical modeling of induced polarization (IP) in the cases of profiling and electrical tomography for piecewise homogeneous media containing ore bodies with different structures, sizes, depths, relaxation times, chargeability, and electrical resistivity. The standard and spectral approaches to data analysis are compared. The cases where analysis of transient IP characteristics yields new information of practical importance are considered. The main features of transient IP characteristics in 2D inhomogeneous media are determined from the modeling results. Analysis of transient IP characteristics is found to yield the best results when the depth of occurrence of polarizable bodies is minimal and their electrical conductivity is an order of magnitude lower than that of the host tock.
––The paper discusses current state of the spectral approach to analysis of induced polarization (IP), its possibilities and limitations, along with directions for the method development. Reviewed are the main methods and approaches for estimation of spectral IP parameters and their specific features. Our practical experiments have shown the advantages of analysis of transient IP characteristics over standard approaches to the IP data analysis and processing. Results of the standard and spectral approaches application to analysis of IP data when solving mineral exploration problems at the Maletoyvayam gold deposit (Kamchatka Peninsula) and the Yasnoe gold occurrence (Taimyr Peninsula) are compared. Here, we demonstrate that low efficiency of works is erroneously regarded as one of the main factors hindering a broad adoption of the spectral IP method in mineral exploration activities. Rather, it is a lack of automated techniques for analysis of transient IP characteristics. We propose a new approach to spectral analysis of IP data, based on the algorithms for image recognition of a reference object, and describe pioneering efforts of its practical application.
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