Abstract
Due to the induced polarization (IP) effect, the sign reversal often occurs in time-domain airborne electromagnetic (AEM) data. The inversions that do not consider IP effect cannot recover the true umderground electrical structures. In view of the fact that there are many parameters of airborne induced polarization data in time domain, and the sensitivity difference between parameters is large, which brings challenges to the stability and accuracy of the inversion. In this paper, we propose an inversion mehtod for time-domain AEM data with IP effect based on the Pearson correlation constraints. This method uses the Pearson correlation coefficient in statistics to characterize the correlation between the resistivity and the chargeability and constructs the Pearson correlation constraints for inverting the objective function to reduce the non uniqueness of inversion. To verify the effectiveness of this method, we perform both Occam’s inversion and Pearson correlation constrained inversion on the synthetic data. The experiments show that the Pearson correlation constrained inverison is more accurate and stable than the Occam’s inversion. Finally, we carried out the inversion to a survey dataset with and without IP effect. The results show that the data misfit and the continuity of the inverted section are greatly improved when the IP effect is considered.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Chen, T. Y., Hodges, G., and Smiarowski, A., 2015, Extracting subtle IP responses from airborne time domain electromagnetic data: 85th Ann. Internat. Mtg, Soc. Expl. Geophys., Expanded Abstracts, 2061–2066.
Feng, X., Liu, C., Wang, K., et al., 2013, Joint evaluation of fracture azimuth by electromagnetic wave and elastic wave: Journal of Applied Geophysics, 99, 76–82.
Haber, E., 2014, Computational Methods in Geophysical Electromagnetics: Society for Industrial and Applied Mathematics Press, Philadelphia.
Hohmann, G. W., and Newman, G. A., 1990, Transient electromagnetic responses of surficial polarizable patches: Geophysics, 55(8), 1098–1100.
Kang, S., and Oldenburg, D. W., 2016, On recovering distributed IP information from inductive source time domain electromagnetic data: Geophysical Journal International, 207(1), 174–196.
Kratzer, T., and Macnae, J. C., 2012, Induced polarization in airborne EM: Geophysics, 77(5), E317–E327.
Lee T., 1975, Sign reversals in the transient method of electrical prospecting (one-loop version): Geophysical Prospecting, 23(4), 653–662.
Lin, C., Fiandaca, G., Auken, E., et al., 2019, A discussion of 2D induced polarization effects in airborne electromagnetic and inversion with a robust 1D laterally constrained inversion scheme: Geophysics, 84(2), 1–49.
Macnae, J., 2016, Quantifying Airborne Induced Polarization effects in helicopter time domain electromagnetics: Journal of Applied Geophysics, 135, 495–502.
Miao, J. J., Qi, Y. F., Zhang, W. W., 2019, Research on the IP information extraction from time-domain airborne EM: Progress in Geophysics, 1–16.
Nabighian, M. N., 1988, Electromagnetic methods in applied geophysics-Theory: Society of Exploration Geophysicists Press, Tulsa.
Pelton, W. H., Ward, S. H., Hallof, P. G., et al., 1978, Mineral discrimination and removal of inductive coupling with multifrequency IP: Geophysics, 43(3), 588–609.
Raiche, A. P., 1983, Negative transient voltage and magnetic field responses for a half-space with a Cole-Cole impedance: Geophysics, 48(6), 790–791.
Raiche, A. P., Bennett, L. A., Clark, P. J., et al., 1985, The use of Cole-Cole impedances to interpret the TEM response of layered earths: Exploration Geophysics, 16(2/3), 271–273.
Sun, S. Y., 2019, Three-Dimensional Joint Inversion of Gravity data and Magnetotelluric Sounding Data: PhD Thesis, Jilin University, Changchun.
Viezzoli, A., Kaminski, V., and Fiandaca, G., 2017, Modeling induced polarization effects in helicopter time domain electromagnetic data: Synthetic case studies: Geophysics, 82(2), E31–E50.
Weidelt, P., 1982, Response characteristics of coincident loop transient electromagnetic systems: Geophysics, 47(9), 1325–1330.
Yin, C. C., Hodges, G., 2007, Simulated annealing for airborne EM inversion: Geophysics, 72(4), F189–F195.
Yin, C. C., Huang, W., and Ben, F, 2013, The full-time electromagnetic modeling for time-domain airborne electromagnetic systems: Chinese J. Geophys. (in Chinese), 56(9), 3153–3162.
Yin, C. C., Sun, S. Y., Gao, X. H., et al., 2018, 3D joint inversion of magnetotelluric and gravity data based on local correlation constraints: Chinese J. Geophys. (in Chinese), 61(1), 358–367.
Yu, C. T., Liu, H. F., Zhang, X. J., et al., 2013, The analysis on IP signals in TEM response based on SVD: Applied Geophysics, 10(1), 79–87.
Acknowledgements
We are grateful to three reviewers for their constructive comments and suggestions that help clarify the paper. We want to thank Geoscience Australia for providing the AEM data (obtained from https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.Search#/metadata/104700).
Author information
Authors and Affiliations
Corresponding author
Additional information
This paper was financially supported by the National Natural Science Foundation of China (Nos. 42030806, 41774125, 41904104, 41804098) and the Pioneer Project of Chinese Academy of Sciences (No. XDA14020102).
Man Kai-Feng received a master’s degree from Central South University in 2017. He is currently a PhD candidate in the College of Geo-Exploration Science and Technology of Jilin University, and mainly engaged in geophysical electromagnetic forward modeling and inversion theory and technology.
Rights and permissions
About this article
Cite this article
Kai-Feng, M., Chang-Chun, Y., Yun-He, L. et al. Inversion of time-domain airborne EM data with IP effect based on Pearson correlation constraints. Appl. Geophys. 17, 589–600 (2020). https://doi.org/10.1007/s11770-020-0832-8
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11770-020-0832-8