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Modelling induced polarization effects in frequency-domain data

Name: Modelling induced polarization effects in frequency-domain data
Keywords: airborne electromagnetics, inversion, frequency domain, Cole-Cole model.

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 04 Sep 2023 English Publisher:Zenodo

Authors: Evgeny Karshakov; Dmitry Khliustov;

doi: 10.5281/zenodo.10060322 , 10.5281/zenodo.10060323

Modelling induced polarization effects in frequency-domain data

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Abstract

Induced polarization (IP) effects may have significant impact on airborne electromagnetic (AEM) data. They lead to dependence of apparent resistivity on the frequency of the signal. The classic approach to modelling IP consists in deriving analytical mod els of frequency dependent resistivity of each layer of the model. However, the amount of parameters for such model grows fast with the number of layers. Hence the problem of numerical inversion becomes intractable due to high dimensionality and ill conditioning. This work suggests an approach to overcoming this problem. We show that the effects of IP are concentrated in relatively small number of layers and propose a simple algorithm for finding them. The results of inverting real data showing strong IP are presented.

Open-Access Online Publication: November 1, 2023

Keywords

airborne electromagnetics, inversion, frequency domain, Cole-Cole model.

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