Abstract
The paper presents the latest results of Monte Carlo inversion of IP data in the areas of water base protection and ore exploration. The method of determining the time constant spectrum using Monte Carlo inversion and the parameters characterizing the degree of environmental contaminations and ore deposition are presented. Among the field applications in Hungary, the investigation of the ionic pollution of the Ráckeve water base and the characterization of the Felsőtelekes waste dump of the Rudabánya iron ore mine are presented. In addition to these, the paper presents the investigation of ore deposition in the area of a gold mine in Mongolia using the Monte Carlo inversion of multi-electrode pole-dipole IP method.
Highlights
The induced polarization (IP) method is a geophysical tool discovered by Conrad Schlumberger in a mining region of France
The IP measurements performed in the area of Ráckeve were processed by Monte Carlo inversion, assuming a single average polarization component
The values of the time constants in this area were less than 0.8 s, which showed that the polarization was mainly caused by membrane and filtration effects
Summary
The induced polarization (IP) method is a geophysical tool discovered by Conrad Schlumberger in a mining region of France It has primarily been used for mineral and ore exploration (Bleil 1953; Pelton et al 1978; Wait 1959; Keller and Frischknecht 1966; Sumner 1976; Fink et al 1990). 120 samples were taken from the section of decay as a combined linear-logarithmic time series. The time constant spectrum w(τ) was used for the characterization of the decay curve the determination of which was made by the TAU transformation of the observed apparent polarizability curve ηa(t) introduced by Turai (1981). The time constant spectrum contains all the spectral information on polarization observable by the IP measurement (Turai 1985), its determination can be useful even when petrophysical model for the description of the IP phenomenon is not available. An easier way for the computer implementation of the inversion method is the use of the Monte Carlo procedure (Turai et al 2010)
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