3D Seismic Data Segmentation Based on the Orientation Coherence Method

This paper proposed a new volumn segmenting algorithm. Traditional segmentation methods like minimum-variance-based region growing define homogeneity criteria to be value related. This method using 3D seismic data's ridge and valley like structure extracts local orientation coherece first, then divides the homogeneity criteria into two parts. The first part uses a high threshold and the second one uses a low threshold and a coherence threshold. The two parts criteria makes the growing processing better. This new method has good performance in ununiform brightness condition, but the conherence value cube is time-consuming, and the user should define two extra threshold.