Seismic Attribute Analysis

Seismic Attribute Analysis The Factor Analysis will be used to classify or reduce the attributes from post and/or pre-stack seismic dataset. Usually Factor Analysis can be applied in order to explore a content area, structure a domain, map unknown concepts, classify or reduce data, transform data, define relationships, etc. R-Factor Analysis involves factoring variables, which will reduce attribute space from a larger number of variables to a smaller number of factors. After R-Factor analysis, the post-stack attributes and/or pre-stack attributes will be reduced to produce the HYBRID attributes, which is a combination of the optimum set of attributes. The HYBRID attributes have better correlation to well data.