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Applicability Analysis on Estimation of Spectral Induced Polarization Parameters Based on Multi-objective Optimization

Abstract : Among induced polarization (IP) methods, spectral IP (SIP) uses alternating current as a transmission source to measure amplitudes and phase of complex electrical resistivity at each source frequency, which disperse with respect to source frequencies. The frequency dependence, which can be explained by a relaxation model such as Cole-Cole model or equivalent models, is analyzed to estimate SIP parameters from dispersion curves of complex resistivity employing multi-objective optimization (MOO). The estimation uses a generic algorithm to optimize two objective functions minimizing data misfits of amplitude and phase based on Cole-Cole model, which is most widely used to explain IP relaxation effects. The MOO-based estimation properly recovered Cole-Cole model parameters for synthetic examples but hardly fitted for the real laboratory measures ones, which have relatively smaller values of phases (less than about 10 mrad). Discrepancies between scales for data misfits of amplitude and phase, used as parameters of MOO method, and it is in necessity to employ other methods such as machine learning, which can deal with the discrepancies, to estimate SIP parameters from dispersion curves of complex resistivity.
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https://hal-brgm.archives-ouvertes.fr/hal-03790160
Contributeur : Frédérique COUFFIGNAL Connectez-vous pour contacter le contributeur
Soumis le : mercredi 28 septembre 2022 - 09:26:44
Dernière modification le : mercredi 28 septembre 2022 - 09:33:33

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Kim Bitnarae, Jeong Ju Yeon, Min Baehyun, Nam Myung Jin. Applicability Analysis on Estimation of Spectral Induced Polarization Parameters Based on Multi-objective Optimization. GEOPHYSICS AND GEOPHYSICAL EXPLORATION (Jigu mulli-wa mulli tamsa), 2022, 25 (3), pp.99-108. ⟨10.7582/GGE.2022.25.3.099⟩. ⟨hal-03790160⟩

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