3D Fault Detection Based on Statistical Approach

This paper describes 3D fault detection methodology. As the destruction zone indicator we suggest some new attributes based on eigen-value analysis of seismic data. Multidimensional classifications are applied to separate faulted zone volumes. In particular, statistical cluster analysis allows to enter, formalize and consider in process similarity level of fault indicators. Thereafter we use advanced image processing algorithm to highlight faulted zones skeletons (surfaces). This method was approved on real seismic data