基于信号纯度谱的有色反褶积(英文)

Signal-purity-spectrum-based colored deconvolution

信噪比和分辨率是评价地震数据质量的两个重要的,但相互矛盾的指标。为了在提高分辨率的同时,保持地震数据的信噪比,引入信号纯度谱的概念并使用它来确定反褶积之后希望输出的振幅谱。由于实际反射系数序列具有蓝谱特征,并非白谱,在针对反射系数白噪假设对子波的影响进行实验分析的基础上,对谱白化之后的地震记录进行有色补偿处理。实际地震数据处理表明,基于信号纯度谱的谱白化与有色补偿的串联应用有效地改善了地震数据反映薄层细节的能力。

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, and used to define the desired output amplitude spectrum after deconvolution. Since a real reflectivity 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.