Anisotropic 3D seismic features for robust horizons correlation across faults

While 3D seismic data become widespread and the datasets get larger, the demand for automation to speed up the seismic interpretation process is increasing as well. However, the development of intelligent tools which can do more to assist interpreters has been difficult due to low information content in seismic data. In this paper, we present an image processing method in which a-priori geological knowledge is incorporated to correlate horizons across faults. Our new method exploits anisotropic spatial correlation of horizons for robustness and aims at developing an interpreter friendly interactive environment. The results of this method are compared with previously proposed methods.