The Generalized Skin Depth for Polarized Porous Media Based on the Cole–Cole Model
Source abstract
Abstract
In the field of frequency-domain electromagnetic detection, skin depth is an important parameter for electromagnetic data interpretation and imaging. The classic skin depth formula is calculated based only on conductivity; the induced-polarization effect in real earth is not considered, so the imaging results have obvious errors. To solve these problems, based on plane wave theory and the Cole–Cole conductivity model, a generalized skin depth formula of polarized media is derived in the frequency domain. The accuracy of the generalized skin depth is verified through comparison with the classical skin depth. To show the practicability of this study, the theoretical data with induced polarization (IP) effects are used to explain the generalized skin depth for polarized porous media. The generalized skin depth calculation for a typical porous polarization model is related not only to conductivity, but also to polarization parameters, such as chargeability, characteristic time constant, and frequency dependence. At low-frequency excitation, the generalized skin depth formula can be used to calculate the propagation depth of electromagnetic waves relatively accurately for porous polarized media. This method can be applied to the calculation of electromagnetic wave propagation depths in complex dispersive media. Compared with non-polarized media, in porous polarized media, under low-frequency excitation, the electromagnetic wave propagates deeper, allowing the detection of deeper objects. The data interpretation and imaging of polarized porous media by the generalized skin depth formula have higher accuracy.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geophysical and Geoelectrical Methods · Geophysical Methods and Applications · Seismic Waves and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130026, China
Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun 130026, China
Funding
National Natural Science Foundation of China
References (27)
Show source-provided references
1. Effective skin depth of EM fields due to large circular loop and electric dipole sources10.1186/BF03351764 ↗
2. The existence of a region inaccessible to magnetotelluric sounding10.1111/j.1365-246X.1982.tb06967.x ↗
3. Electromagnetic Response Character of Helicopter Frequency Domain EM System above Uniform Half Space and Its Prospecting Depth
4. Doubling the effective skin depth with a local source10.1190/1.1444582 ↗
5. Effective Skin Depth with a Local Source and Its Application to Survey Design and Data Interpretation
6. Airborne EM skin depths10.1111/j.1365-2478.2004.00428.x ↗
7. Effective skin depth of whole EM field due to a grounded wire source
8. Research on the Application of a 3-m Transmitter Loop for TEM Surveys in Mountainous Areas10.2113/JEEG19.1.3 ↗
9. Analysis and application of the detection depth of electrical source Short-offset TEM
10. Dispersion of the conductivity and dielectric constants of strong electrolytes
11. Dispersion and absorption in dielectrics. I. Alternating current characteristics10.1063/1.1750906 ↗
12. Non-invasive monitoring of water content and textural changes in clay-rocks using spectral induced polarization: A laboratory investigation10.1016/j.clay.2008.12.007 ↗
13. Three-dimensional electrical conductivity and induced polarization tomography of a rock glacier10.1029/2018JB015965 ↗
14. Mineral discrimination and removal of inductive coupling with multi-frequency IP10.1190/1.1440839 ↗
15. Stratton, J.A. (1941). Electromagnetic Theory, McGraw-Hill Book CO.
16. Depth of investigation in electromagnetic sounding methods10.1190/1.1442716 ↗
17. Induced polarization response of porous media with metallic particles—Part 6: The case of metals and semimetals10.1190/geo2016-0389.1 ↗
18. Fast-decaying inductively induced polarization in frozen ground: A synthesis of results and models10.1016/j.jappgeo.2012.03.008 ↗
19. Kennedy, J., and Eberhart, R. (December, January 27). Particle swarm optimization. Proceedings of the ICNN′95—International Conference on Neural Networks, Perth, Australia.
20. Shi, Y.H., and Eberhart, R.C. (1998, January 4–9). A Modified Particle Swarm Optimizer. Proceedings of the 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence, Alaska, AK, USA.
21. Particle swarm optimization with an aging leader and challengers algorithm for the solution of optimal power flow problem10.1016/j.asoc.2015.11.027 ↗
22. Adaptive underfrequency load shedding using particle swarm optimization algorithm10.1016/j.jart.2016.12.003 ↗
23. Genetic Algorithm Enabled Particle Swarm Optimization (PSOGA) based Task Scheduling in Cloud Computing Environment10.1142/S0219622018500244 ↗
24. A two-stage CO-PSO minimum structure inversion using CUDA for extracting IP information from MT data10.1007/s11771-018-3818-4 ↗
25. (2020, February 19). Foundations of Geophysical Electromagnetic Theory and Methods Electromagnetic Migration. Available online: https://www.onacademic.com/detail/journal_1000040120116010_f94e.html.
26. Electromagnetic methods in the frequency and time domains10.1016/S0076-6895(08)00214-X ↗
27. Frequency-domain modeling of airborne electromagnetic responses using staggered finite differences10.1111/j.1365-2478.1995.tb00294.x ↗