Improve Q estimates with spectrum correction based on seismic wavelet estimation
Tu Ning1 and Lu Wen-kai1
1. State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing 100084, China.
Abstract：
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.
TU Ning,LU Wen-Kai. Improve Q estimates with spectrum correction based on seismic wavelet estimation[J]. APPLIED GEOPHYSICS, 2010, 7(3): 217-228.
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2010, Vol. 7 
