Abstract：Combination of Grey association analysis with K-L transform can realize the dual optimization of attributes.Using Grey association analysis realized the sensibility analysis of seismic attributes and built up Grey association between the reservoir parameters and attributes.On that basis,mapping of high-dimension attributes onto low-dimension attributes in attributes space is carried out by K-L transform and eliminated the correlation among the attributes so that can effectively solve the optimized issue of attributes combination.Using BP neural network for prediction of targets showed that the dual optimization method of seismic attributes combined Grey association analysis with K-L transform can fully display individual advantages of each method,which is a great help to solve the issues of attributes analysis,association and combination optimization,then improves the operation speed and precision of seismic reservoir prediction.
