Advertisement

Modeling and Simulation of Electromagnetic Response Data in Multilayered Inhomogeneous Media

Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)

Abstract

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.

Keywords

Multilayered inhomogeneous media Electromagnetic response data Propagation effects Apparent conductivity 

Notes

Acknowledgements

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].”

References

  1. 1.
    Liu X, Zhou Y, Zhu Y, Liu F, Xu X, Zhang C (2015) Exploration of organic rich shales using a time-frequency electromagnetic method. In: Proceeding of international workshop and gravity, electrical & magnetic methods and their applications, Chenghu, China, 19–22 AprilGoogle Scholar
  2. 2.
    Katterbauer K, Hoteit I, Sun S (2014) EMSE: synergizing EM and seismic data attributes for enhanced forecasts of reservoirs. J Petrol Sci Eng 122:396–410CrossRefGoogle Scholar
  3. 3.
    Soares D (2013) Time-domain electromagnetic wave propagation analysis by edge-based smoothed point interpolation methods. J Comput Phys 234:472–486MathSciNetCrossRefGoogle Scholar
  4. 4.
    Nguyen BT, Furse C, Simpson JJ (2015) A 3-D stochastic FDTD model of electromagnetic wave propagation in magnetized ionosphere plasma. IEEE Trans Antennas Propag 63(1):304–313MathSciNetCrossRefGoogle Scholar
  5. 5.
    Wang N, Qin Q, Chen L, Zhao S, Zhang C, Hui J (2016) Direct interpretation of petroleum reservoirs using electromagnetic radiation anomalies. J Petrol Sci Eng 146:84–95CrossRefGoogle Scholar
  6. 6.
    Song D, Wang E, Li Z, Liu J, Xu W (2015) Energy dissipation of coal and rock during damage and failure process based on EMR. Int J Mining Sci Technol 25(5):787–795CrossRefGoogle Scholar
  7. 7.
    Lin G, Han Z, Li J (2015) General formulation and solution procedure for harmonic response of rigid foundation on isotropic as well as anisotropic multilayered half-space. Soil Dyn Earthquake Eng 70:48–59CrossRefGoogle Scholar
  8. 8.
    Jin P, Wang E, Liu X, Huang N, Wang S (2013) Damage evolution law of coal-rock under uniaxial compression based on the electromagnetic radiation characteristics. Int J Mining Sci Technol 23(2):213–219CrossRefGoogle Scholar
  9. 9.
    Akhter Z, Akhtar MJ (2015) Time domain microwave technique for dielectric imaging of multi-layered media. J Electromagn Waves Appl 29(3):386–401CrossRefGoogle Scholar
  10. 10.
    Li JH, Liu QH (2016) Fast frequency-domain forward and inverse methods for acoustic scattering from inhomogeneous objects in layered media. J Comput Acoustics, 1650008MathSciNetCrossRefGoogle Scholar
  11. 11.
    Kearey P, Brooks M, Hill I (2013) An introduction to geophysical exploration. Wiley, New YorkGoogle Scholar
  12. 12.
    Sumner JS (2012) Principles of induced polarization for geophysical exploration. Elsevier, AmsterdamGoogle Scholar
  13. 13.
    Chave AD, Jones AG (2012) The magnetotelluric method: theory and practice. Cambridge University Press, CambridgeGoogle Scholar
  14. 14.
    Fan W, Jia C, Hu W, Yang C, Liu L, Zhang X, Cui HL (2015) Dielectric properties of coals in the low-terahertz frequency region. Fuel 162:294–304CrossRefGoogle Scholar
  15. 15.
    Abdulkarim M, Shafie A, Yahya N, Ahmad WFW, Razali R (2014) Multi-layer perceptron neural network for air wave estimation in marine control source electromagnetic data. GSTF J Comput 2(1)Google Scholar
  16. 16.
    Meng QX, Pan HP (2012) Numerical simulation analysis of surface-hole TEM responses. Diqiu Wuli Xuebao 55(3):1046–1053Google Scholar
  17. 17.
    Cui F, Lai XP, Cao JT, Shan PF (2013) Exploration technology of sound wave and electromagnetic wave united optical imagining verification for evaluating stability of mining roadway in steeply dipping coal seams. In: ISRM SINOROCK (2013), International Society for Rock MechanicsCrossRefGoogle Scholar
  18. 18.
    Zhang BL, Cheng LF, Gao H, Jia L (2016) Simulation of influence of wall roughness on electromagnetic wave propagation characteristics in rectangular tunnel. Comput Simul 2:046Google Scholar
  19. 19.
    Mescia L, Bia P, Caratelli D (2014) Fractional derivative based FDTD modeling of transient wave propagation in Havriliak–Negami media. IEEE Trans Microwave Theory Tech 62(9):1920–1929CrossRefGoogle Scholar
  20. 20.
    Wu C, Zhang X (2015) Second-order perturbative solutions for 3-d electromagnetic radiation and propagation in a layered structure with multilayer rough interfaces. IEEE J Selected Topics Appl Earth Observ Remote Sens 8(1):180–194MathSciNetCrossRefGoogle Scholar
  21. 21.
    Song XJ, Dang RR, Guo BL, Wang XL (2011) Research on transient electromagnetic response of magnetic source in borehole. Chin J Geophys 54(2):264–272CrossRefGoogle Scholar
  22. 22.
    Song X, Guo B, Dang R, Wang X (2012) Propagation effects of low frequency electromagnetic waves in production well. Petrol Sci 9(2):182–191CrossRefGoogle Scholar

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

Personalised recommendations