Li Guo-Fa1,2, Peng Geng-Xin3, Yue Ying4, Wang Wan-Li1,2, and Cui Yong-Fu3
1. State Key Laboratory of Petroleum Resource and Prospecting (China University of Petroleum (Beijing)), Beijing 102249, China.
2. Key Laboratory of Geophysical Exploration of China National Petroleum Corporation, China University of Petroleum, Beijing 102249, China.
3. Tarim Oil Field, PetroChina, Korla 841000 China.
4. Dagang Oil Field, PetroChina, Tianjin 300280 China.
Abstract Signal to noise ratio (SNR) and resolution are two important but contradictory characteristics used to evaluate the quality of seismic data. For relatively preserving SNR while enhancing resolution, the signal purity spectrum is introduced, estimated, an used to defi ne the desired output amplitude spectrum after deconvolution. Since a real refl ectivity series is blue rather than white, the effects of white reflectivity hypothesis on wavelets are experimentally analyzed and color compensation is applied after spectrum whitening. Experiments on real seismic data indicate that the cascade of the two processing stages can improve the ability of seismic data to delineate the geological details.
This research was fi nancially supported by the National Natural Science Foundation of China (Grant No. 41174117) and PetroChina Innovation Foundation (Grant No. 2010D-5006-0301).
Cite this article:
LI Guo-Fa,PENG Geng-Xin,YUE Ying et al. Signal-purity-spectrum-based colored deconvolution[J]. APPLIED GEOPHYSICS, 2012, 9(3): 333-340.
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