Q Factor Estimation and Validation: A New Link Between VSP and Seismic Lines

  • Jean-Luc MariEmail author
  • Béatrice Yven
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


In this paper, a new approach to estimate Q factor of geological formations on seismic lines was proposed. The purpose was to evaluate the amplification of ground motion on a site dedicated to store radioactive waste. Attenuation introduced dissipative dispersion which could be measured from the frequency-dependent phase velocity of the VSP down-going wave. The variation of velocity ΔV due to the variation of frequency was estimated from a residual variation dΔt of the arrival times of the down-going wave. A scan procedure in dΔt has been implemented to estimate the quantity ΔV and the Q factor, the search being done in realistic domain of Q values. The methodology was checked on VSP and then extended from well data to surface seismic data, using a predictive law with uncertainties estimations. The methodology was applied to estimate Q factors of the Callovo-Oxfordian claystone (host rock) and limestone formations, using both VSP and seismic lines.


Q factor Velocity Dispersion Instantaneous frequency Elastic inversion Velocity model Depth conversion Claystone Limestone 


  1. 1.
    Mari, J.L., Yven, B.: Q factor: from VSP to seismic line, We P1 08. In: 79th EAGE Conference, Paris, 13–15 June 2017Google Scholar
  2. 2.
    Varela, C.L., Rosa, A.L.R., Ulrych, T.J.: Modeling of attenuation and dispersion. Geophysics 58(8), 1167–1173 (1993)CrossRefGoogle Scholar
  3. 3.
    Mari, J.L., Yven, B.: The application of high resolution 3D seismic data to model the distribution of mechanical and hydrogeological properties of a potential host rock for the deep storage of radioactive waste in France. Mar. Pet. Geol. 53, 133–153 (2014). Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.IFP Energies NouvellesRueil MalmaisonFrance
  2. 2.AndraChâtenay-MalabryFrance

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