Horizon picking in 3D seismic images
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Data mining for large scale 3D seismic data analysis
Machine Vision and Applications
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We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to assist in generating seed points for initializing an automatic horizon picking algorithm. In addition, our algorithm takes seismic attributes into consideration to reduce the possibilities of false horizon generation and faultcrossing. Comparative experimental results are presented to highlight the potential of our approach.