Improve Q estimates with spectrum correction based on seismic wavelet estimation

Characterization of seismic attenuation, quantified by Q , is desirable for seismic processing and interpretation. For seismic reflection data, the coupling between seismic wavelets and the reflectivity sequences hinders their usage for Q estimation. Removing the influence of the reflectivity sequen...

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Bibliographic Details
Published in:Applied geophysics 2010-09, Vol.7 (3), p.217-228
Main Authors: Tu, Ning, Lu, Wen-kai
Format: Article
Language:English
Subjects:
Earth and Environmental Science
Earth Sciences
Earthquake design
Estimates
Estimating techniques
Geophysics
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Inverse
Reflection
Seismic engineering
Seismic phenomena
Seismology
Spectra
Statistical methods
Wavelet
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Summary:Characterization of seismic attenuation, quantified by Q , is desirable for seismic processing and interpretation. For seismic reflection data, the coupling between seismic wavelets and the reflectivity sequences hinders their usage for Q estimation. Removing the influence of the reflectivity sequences in reflection data is called spectrum correction. In this paper, we propose a spectrum correction method for Q estimation based on wavelet estimation and then design an inverse Q filter. The method uses higher-order statistics of reflection seismic data for wavelet estimation, the estimated wavelet is then used for spectral correction. Two Q estimation methods are used here, namely the spectral-ratio and centroid frequency shift methods. We test the characteristics of both Q estimation methods under different parameters through a synthetic data experiment. Synthetic and real data examples have shown that reliable Q estimates can be obtained after spectrum correction; moreover, high frequency components are effectively recovered after inverse Q filtering.
ISSN:1672-7975
1993-0658
DOI:10.1007/s11770-010-0252-2