Modeling and Simulation of Electromagnetic Response Data in Multilayered Inhomogeneous Media

  • Xijin SongEmail author
  • Shihua Tang
  • Peng Li
  • Bo He
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)


The data analysis of plane electromagnetic waves propagation in multilayered inhomogeneous media has an important significance to improve the analysis accuracy of geophysical electromagnetic response or to determine oil and gas reservoir distribution as well. According to the basic theory of the frequency-domain electromagnetic method, this paper deduces the expressions of electromagnetic response and apparent conductivity of multilayered media. In addition, it also in-depth studies the propagation effects that happened in the cross-interface of different media and calculates the apparent conductivity of four-layer geo-electric cross section. Compared to the numerical results of traditional geometrical factor theory, the root mean square errors between apparent conductivity and original reservoir, which computed by electromagnetic wave propagation theory, are reduced by 12–45%. The simulation results indicate that the electromagnetic wave propagation theory not only allows for amplitude attenuation and phase shift produced by electromagnetic wave in loss media, but also considers the reflection and refraction which take place in media cross-interface. Therefore, it significantly improves the accuracy of analysis and calculation for frequency-domain electromagnetic response characteristics in multilayered inhomogeneous media.


Multilayered inhomogeneous media Electromagnetic response data Propagation effects Apparent conductivity 



This work is supported by National Science Foundation [41604122], Petro China Innovation Foundation [2017D-5007-0305], and Innovative Entrepreneurship Training Program for College Students of Shaanxi Province in 2016 “Study on Electromagnetic Response Characteristics of Deep Oil and Gas Reservoirs by Wide Area Electromagnetic Method [1472].”


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Key Laboratory of Photoelectric Logging and Detecting of Oil and Gas, Ministry of EducationXi’an Shiyou UniversityXi’anChina

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