Two-dimensional induced polarization effects on airborne time domain electromagnetic data

C. Lin, E. Auken, G. H. Fiandaca, A. V. Christiansen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingspeer-review

Abstract

Recently, the interest in induced polarization (IP) phenomenon in airborne time-domain electromagnetic (ATEM) data has been significantly increased. 2D induced polarization greatly affects the ATEM data and masks underlying geological structures. In order to simulate rigorous 2D airborne IP data, a 2.5D modeling algorithm has been developed using the Cole-Cole model and the finite-element method. We verify our algorithm by comparison with the 1D solution of the AarhusInv code. 2D IP effects in the ATEM data are related to the four Cole-Cole parameters, the horizontal length of the 2D target and the distance between the receiver and the target. Compared to the 1D IP responses, the 2D responses are different especially at the stations near the edge of the 2D target. The general shape of the 2D target except for the edge can be recovered by the 1D Laterally Constrained Inversion (LCI) of AarhusInv.

Original languageEnglish
Title of host publication2nd European Airborne Electromagnetics Conference 2017, Held at Near Surface Geoscience Conference and Exhibition 2017
PublisherEuropean Association of Geoscientists and Engineers
Pages21-25
Number of pages5
ISBN (Electronic)9781510850804
DOIs
Publication statusPublished - 2017
Event2nd European Airborne Electromagnetics Conference 2017 - Malmo, Sweden
Duration: 3 Sep 20177 Sep 2017

Publication series

Name2nd European Airborne Electromagnetics Conference 2017, Held at Near Surface Geoscience Conference and Exhibition 2017

Conference

Conference2nd European Airborne Electromagnetics Conference 2017
Country/TerritorySweden
CityMalmo
Period3/09/177/09/17

Programme Area

  • Programme Area 2: Water Resources

Fingerprint

Dive into the research topics of 'Two-dimensional induced polarization effects on airborne time domain electromagnetic data'. Together they form a unique fingerprint.

Cite this