1887

Abstract

Summary

Local phase analysis can serve as a complementary tool in seismic interpretation because amplitude, peak frequency and phase of the locally observed wavelet are determined by the local reflectivity that is by layer thickness, type of impedance contrast, and boundary shape.

To estimate the local phase, statistical methods like kurtosis-based phase estimation, can be applied. Their advantage is that they do not require well logs and analyze the seismic data directly, which allows for instance to analyze whether spatial and/or temporal variations occur in the amplitude and phase spectrum of the seismic wavelet.

Here, we investigate the spatial resolution of the kurtosis-based phase estimation for the Ketzin 3D seismic data set from the Northeast German Basin and show that the decrease of phase estimation block size allows to estimate the spatial variations in the local phase and following also the local geology with high resolution. The phase distribution follows the geological structure of the anticline visible already in the amplitudes and may reveal potentially additional details to conventional amplitude imaging.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20141315
2014-06-16
2024-04-25
Loading full text...

Full text loading...

References

  1. Edgar, J. A. and Van der Baan, M.
    [2011] How reliable is statistical wavelet estimation?Geophysics, 76(4), V59–V68.
    [Google Scholar]
  2. Förster, A., Norden, B., Zinck-Jørgensen, K., Frykman, P., Kulenkampff, J., Spangenberg, E., Erzinger, J., Zimmer, M., Kopp, J., Borm, G., Juhlin, C., Cosma, C., Hurter, S.
    [2006] Baseline characterization of CO2SINK geological storage site at Ketzin, Germany. Environmental Geosciences13, 145–160.
    [Google Scholar]
  3. Herrera, R. H., and Van der Baan, M.
    [2012] Short-time homomorphic wavelet estimation. Journal of Geophysics and Engineering, 9(6), 674–680.
    [Google Scholar]
  4. Juhlin, C., Giese, R., Zinck-Jørgensen, K., Cosma, C., Kazemeini, H., Juhojuntti, N., Lüth, S., Norden, B., Förster, A.
    [2007] 3D baseline seismics at Ketzin, Germany: the CO2SINK project. Geophysics72(5), 121–132.
    [Google Scholar]
  5. Levy, S., and D. W.Oldenburg
    [1987] Automatic phase correction of common-midpoint stacked data. Geophysics, 52(1), 51–59.
    [Google Scholar]
  6. Longbottom, J., A. T.Walden, and R. E.White
    [1988] Principles and application of maximum kurtosis phase estimation. Geophysical Prospecting, 36, 115–138.
    [Google Scholar]
  7. Van der Baan, M. and Pham, D.-T.
    [2008] Robust wavelet estimation and blind deconvolution of noisy surface seismics. Geophysics, 73. (5), V37–V46.
    [Google Scholar]
  8. Van der Baan, M. and Fomel, S.
    [2009] Nonstationary phase estimation using regularized local kurtosis maximization, Geophysics, 74(6), A75–A80.
    [Google Scholar]
  9. Van der BaanM., FomelS. and PerzM.
    [2010] Nonstationary phase estimation: A tool for seismic interpretation?The Leading Edge, 29, 1020–1026.
    [Google Scholar]
  10. White, R. E.
    [1988] Maximum kurtosis phase correction. Geophysical Journal, 95, 371–389.
    [Google Scholar]
  11. Wiggins, R. A.
    [1978] Minimum entropy deconvolution. Geoexploration, 16, 21–35.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141315
Loading
/content/papers/10.3997/2214-4609.20141315
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error