Seismic data contain a vast amount of information regarding different properties of the imaged geology. Unravelling the disparate types of information to produce an accurate and detailed subsurface model is a primary purpose of seismic interpretation. To aid this task, a wide range of volumetric seismic attribute computation techniques have been developed. Seismic attributes are designed to measure, extract, or enhance specific characteristics of the data so information regarding different aspects of geology can be examined independently. However, an accurate and comprehensive interpretation can seldom be obtained from analysis of individual attributes in isolation; rather, it is necessary to consider information from different attributes simultaneously. Multiattribute analysis can be formulated as a process of examining a joint attribute space where there is often a degree of correlation between the bases.