Seismic Interpretation Using Global Image Segmentation

Seismic interpretation using global image segmentation Dave Hale ∗ and Jeff Emanuel Landmark Graphics Summary A first step in seismic interpretation is seismic image segmentation. For most seismic images with incompletely or poorly imaged faults and horizons global methods for segmentation are more robust than local event tracking or region growing methods commonly used today. The disadvantage of global image segmentation methods has been their relatively high computational cost. We reduce this cost by applying these methods to a space-filling mesh aligned automatically with features in seismic images. The mesh makes global segmentation of 3-D seismic images feasible. Introduction An