An Application of Structural Filter and Gabor Deconvolution for AVO Processing

Yu, Jiangbo (University of Houston) | Liu, Dong (University of Houston)



This paper discusses two seismic data conditioning processes – Structural Filter (SF) and Gabor deconvolution. We found that these two techniques can improve AVO analysis in CMP and CRP gathers. Structural Filter greatly enhances the S/N of gathers by removing abnormal single high amplitude events, outliers and strong random noise. At the meantime, the relative amplitude is well preserved. A smoother AVO anomaly is observed in the gathers with enhanced S/N. The gather was measured for AVO fit using a 2-term Aki-Richards equation. The AVO gradient analysis shows an amplitude change discontinuity at far offsets. We speculated that this is caused by tuning effect. Gabor deconvolution is used to increase the resolution of the data and remove the Q effect. The gradient analysis showed a much more reasonable class 2 AVO anomaly with a fit of 0.85 for top of the layer after Gabor deconvolution.