Geometric attribute improved-processing in fault interpretation

As geometry attributes describe the spatial pattern of seismic reflection, so it is widely used for fault identification in structural interpretation. However, a single geometric attribute cannot accurately characterize all the kinds of faults. This paper reviews a series of seismic attribute improved-processing technology developed in recent years such as seismic data filter processing, curvature cube, attribute-proportion fusion, multi-attribute cube fusion, and imaging-based fusion. Applications of these approaches improve effectively fault identification.