Q estimation based on crosscorrelation function and S transform in ultrasonic

References

1. Castagna, J.P., S.Sun, and R.W.Siegfried. 2003. Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons. Leading Edge22, no. 2: 120–7.
   [Google Scholar]
2. Gabor, D.1946. Theory of communication. Part 1: The analysis of information. Electrical engineers. Part III: Radio and communication engineering. Journal of the Institution of Electrical Engineers93, no. 26: 429–41.
   [Google Scholar]
3. Hao, Y., X.Wen, B.Zhang, Z.He, R.Zhang, and J.Zhang. 2016. Q estimation of seismic data using the generalized S-transform. Journal of Applied Geophysics135: 122–34.
   [Google Scholar]
4. Herrera, R.H., J.B.Tary, M.V.D.Baan, and D.W.Eaton. 2014. Body wave separation in the time-frequency domain. IEEE Geoscience & Remote Sensing Letters12, no. 2: 364–8.
   [Google Scholar]
5. Hauge, P.S.1981. Measurements of attenuation from vertical seismic profiles. Geophysics46: 1548–58.
   [Google Scholar]
6. Li, H., W.Zhao, H.Cao, F.Yao, and L.Shao. 2006. Measures of scale based on the wavelet scalogram with applications to seismic attenuation. Geophysics71, no. 5: 111–18.
   [Google Scholar]
7. Matsushima, J., M.Suzuki, Y.Kato, and S.Rokugawa. 2016. Ultrasonic measurements of attenuation and velocity of compressional and shear waves in partially frozen unconsolidated sediment and synthetic porous rock. Geophysics81, no. 2: D141–53.
   [Google Scholar]
8. Morlet, J., G.Arens, E.Fourgeau, and D.Glard. 1982. Wave propagation and sampling theory – part I: Complex signal and scattering in multilayered media. Geophysics47, no. 2: 203–36.
   [Google Scholar]
9. Pinnegar, C.R., and D.W.Eaton. 2003. Application of the s transform to prestack noise attenuation filtering. Journal of Geophysical Research Solid Earth108, no. B9: 2422.
   [Google Scholar]
10. Pinnegar, C.R., and L.Mansinha. 2004. Time-local Fourier analysis with a scalable, phase-modulated analyzing function: the S-transform with a complex time window. Signal Processing84, no. 7: 1167–76.
    [Google Scholar]
11. Quan, Y., and J.M.Harris. 1997. Seismic attenuation tomography using the frequency shift method. Geophysics62, no. 3: 895–905.
    [Google Scholar]
12. Reine, C., R.Clark, and V.D.B.Mirko. 2012a. Robust prestack Q-determination using surface seismic data: Part 1 – method and synthetic examples. Geophysics77, no. 1: R45–56.
    [Google Scholar]
13. Reine, C., R.Clark, and V.D.B.Mirko. 2012b. Robust prestack Q-determination using surface seismic data: Part 2 – 3D case study. Geophysics77, no. 1: B1–10.
    [Google Scholar]
14. Reine, C., V.D.B.Mirko, and R.Clark. 2009. The robustness of seismic attenuation measurements using fixed- and variable-time window time-frequency transforms. Geophysics74, no. 2: WA123–35.
    [Google Scholar]
15. Schon, J.H.1996. Physical properties of rocks: Fundamentals and principles of petrophysics. Oxford: Pergamon Press.
16. Stockwell, R.G., L.Mansinha, and R.P.Lowe. 1996. Localization of the complex spectrum: The S transform. IEEE Transactions on Signal Processing44, no. 4: 998–1001.
    [Google Scholar]
17. Sun, S.Z., X.Sun, Y.Wang, and H.Xie. 2015. Q estimation using modified S transform based on pre-stack gathers and its applications on carbonate reservoir. Journal of Geophysics & Engineering12, no. 5: 725–33.
    [Google Scholar]
18. Taner, M.T.1983. Joint time-frequency analysis, Q quality factor and dispersion computation using Gabor-Morlet wavelets or Gabor-Morlet transform. Rock Solid Images, 1–5.
    [Google Scholar]
19. Tang, X.M., M.N.Toksöz, and C.H.Cheng. 1990. Elastic wave radiation and diffraction of a piston source. Journal of the Acoustical Society of America87, no. 5: 1894–902.
    [Google Scholar]
20. Tary, J.B., V.D.B.Mirko, and R.H.Herrera. 2016. Applications of high-resolution time-frequency transforms to attenuation estimation. Geophysics82, no. 1: V7–20.
    [Google Scholar]
21. Toksöz, M.N., D.H.Johnston, and A.Timur. 1979. Attenuation of seismic waves in dry and saturated rocks: I. Laboratory measurements. Geophysics44, no. 4: 681–90.
    [Google Scholar]
22. Tonn, R.1991. The determination of the seismic quality factor Q from VSP data: A comparison of different computational methods 1. Geophysical Prospecting39, no. 1: 1–27.
    [Google Scholar]
23. Wang, S.D., D.F.Yang, J.N.Li, and H.J.Song2015. Q factor estimation based on the method of logarithmic spectral area difference. Geophysics80, no. 6: V157–71.
    [Google Scholar]
24. Wang, Y.2004. Q analysis on reflection seismic data. Geophysical Research Letters31, no. 17: 159–80.
    [Google Scholar]
25. Waters, K.H.1992. Reflection seismology: A tool for energy resource exploration. New York: Wiley.
26. Yuan, S.Y., S.X.Wang, M.Ma, Y.Z.Ji, and L.Deng. 2017. Sparse Bayesian learning-based time-variant deconvolution. IEEE Transactions on Geoscience and Remote Sensing55, no. 11: 6182–94.
    [Google Scholar]
27. Zemanek, J., and I.Rudnick. 1961. Attenuation and dispersion of elastic waves in a cylindrical bar. Journal of the Acoustical Society of America33, no. 10: 1283–8.
    [Google Scholar]
28. Zhang, C., and T.J.Ulrych. 2002. Estimation of quality factors from CMP records. Geophysics67, no. 5: 1542–7.
    [Google Scholar]
29. Zhubayev, A., M.E.Houben, D.M.J.Smeulders, and A.Barnhoorn. 2016. Ultrasonic velocity and attenuation anisotropy of shales, Whitby, United Kingdom. Geophysics81, no. 1: D45–56.
    [Google Scholar]