Articles | Volume 28, issue 2
https://doi.org/10.5194/npg-28-247-2021
https://doi.org/10.5194/npg-28-247-2021
Research article
 | 
19 May 2021
Research article |  | 19 May 2021

An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data

Siming He, Jian Guan, Xiu Ji, Hang Xu, and Yi Wang

Related subject area

Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Solid earth, continental surface, biogeochemistry | Techniques: Theory
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Cited articles

Arifin, M. H., Kayode, J. S., Izwan, M. K., Zaid, H. A. H., and Hussin, H.: Data for the potential gold mineralization mapping with the applications of Electrical Resistivity Imaging and Induced Polarization geophysical surveys, Data in Brief, 22, 830–835, https://doi.org/10.1016/j.dib.2018.12.086, 2019. 
Chen, R. J., Luo, W. B., and He, J. S.: High precision multi-frequency multi-function receiver for electrical exploration, 2007 8th International Conference on Electronic Measurement and Instruments (ICEMI'07), 16–18 August 2007, Xian, China, IEEE, Expanded Abstracts, 599–602, https://doi.org/10.1109/icemi.2007.4350521, 2007. 
Collett, L. S., Brant, A. A., Bell, W. E., Ruddock, K. A., Seigel, H. O., and Wait, J. R.: Laboratory investigation of overvoltage, Overvoltage research and geophysical applications, International series of monographs on earth sciences, Pergamon, New York, USA, 50–70, https://doi.org/10.1016/b978-0-08-009272-0.50009-1, 1959. 
Garrouch, A. A. and Sharma M. M.: Dielectric dispersion of partially saturated porous media in the frequency range 10 Hz to 10 MHz, The Log Analyst, 39, 48–53, 1998. 
Guo, H.: Study of key technology and data fusion of multi-probe penetration based on gas hydrate exploration, PhD Thesis, China University of Geosciences, Wuhan, China, 2017. 
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Short summary
We propose an enhanced correlation identification (ECI) algorithm to attenuate background noise. The cross-correlation matching method is helpful for the extraction of useful components of the raw SSIP data and suppression of background noise. Experiments on both synthetic and real SSIP data show that the ECI algorithm is proposed to preserve the valid information of the raw SSIP data to display the actual location and shape of adjacent high-resistivity anomalies.