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Physical Experiments and Stochastic Modeling to Clarify the System Containing the Seismic Source and the Ground

  • Alexander V. SmaglichenkoEmail author
  • Maria K. Sayankina
  • Tatyana A. Smaglichenko
  • Igor A. Volodin
Part of the Emergence, Complexity and Computation book series (ECC, volume 14)

Abstract

The nonlinearity of the system containing the source of seismic energy and the ground creates a difficulty for application of geophysical methods. The initial reason is in a distortion of signals radiated by the source. In this article the results of physical experiments using of an impulse source have been investigated. It has been demonstrated that in order to get a reliable Earth’s images is necessary to process signal series records from repeated experiments instead of traditional using of the record of one selected signal. The proposed technique is based on an application of the method of microseismic sounding, stochastic modeling and calculation of arithmetic mean values. The technique can be extended for other sources of seismic energy, where the radiated signal can be transformed to series of impulses.

Keywords

Rayleigh surface waves recording of seismic signals inhomogeneous structure stochastic seismic process 

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References

  1. 1.
    Martin, J.E., Jack, I.G.: The behavior of a seismic vibrator using dif-ferent phase control methods and drive level. First Break 8, 404–414 (1990)CrossRefGoogle Scholar
  2. 2.
    Walker, D.: Harmonic resonance structure and chaotic dynamics in the earth-vibrator system. Geophysical Prospecting 43, 487–507 (1995)CrossRefGoogle Scholar
  3. 3.
    Jeffryes, B.P.: Far-field harmonic measurement for seismic vibrators. In: 66th Annual International Meeting, SEG, Expanded Abstracts, pp. 60–63 (1996)Google Scholar
  4. 4.
    Lebedev, A., Beresnev, I.: Nonlinear distortion of signals radiated by vibroseis sources. Geophysics 69(4), 968–977 (2004)CrossRefGoogle Scholar
  5. 5.
    Wightman, W., Jalinoos, F., Sirles, P., Hanna, K.: Application of geophysical methods to high way related problems. Technical report, DTFH 68-02-P-00083 (2003)Google Scholar
  6. 6.
    Gorbatikov, A.V., Montesinos, F.G., Arnoso, J., Stepanova, M.Y., Benavent, M., Tsukanov, A.A.: New Features in the Subsurface Structure Model of El Hierro Island (Canaries) from Low-Frequency Microseismic Sounding: An Insight into the 2011 Seismo-Volcanic Crisis. Surveys in Geophysics 34(3), 463–489 (2013)CrossRefGoogle Scholar
  7. 7.
    Milsom, J.A., Eriksen, A.: Field Geophysics. Geological Field Guide. Book 28, 304 p. Willey (2011)Google Scholar
  8. 8.
    Smaglichenko, A.V.: The complex of measuring equipment and software to estimate the location of inhomogeneity using a seismic data. Seismic Instruments 50(2), 20–38 (2014) (in Russian)Google Scholar
  9. 9.
    Abancó, C., Hürlimann, M., Fritschi, B., Graf, C., Moya, J.: Transformation of Ground Vibration Signal for Debris-Flow Monitoring and Detection in Alarm Systems. Sensors (Basel) 12(4), 4870–4891 (2012)CrossRefGoogle Scholar
  10. 10.
    Lim, S., Harris, J.G.: Analog implementation of ratio spectrum. In: Proc. of the IEEE International Symposium on Circuits and Systems, Monterey, pp. 277–280 (1998)Google Scholar
  11. 11.
    Skowronski, M.D., Harris, J.A.: Probabilistic Analysis of the Ratio Spec-trum. In: Proc. of the IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, Lake Louise, Alta, pp. 333–336 (2000)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Alexander V. Smaglichenko
    • 1
    Email author
  • Maria K. Sayankina
    • 2
  • Tatyana A. Smaglichenko
    • 2
  • Igor A. Volodin
    • 2
  1. 1.RTSoft Company “Tools and Automation Systems”MoscowRussia
  2. 2.Research Oil and Gas Institute of Russian Academy of SciencesMoscowRussia

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