Reservoir characterization using seismic attributes optimized with rock physics modeling

There is an uncertainty in the reservoir prediction based on seismic attributes. A new method for characterizing reservoir using core, well log and post-stack seismic attributes was presented. This method relies on the rock physics modeling and analysis on the relationship between seismic responses and variation of rock properties using optimized seismic attributes. This technique based on the seismic and lithologic forward modeling and inversion can eliminate the ambiguity of seismic prediction and improve the validity of prediction with reservoir characteristics significantly. The prediction method includes five sequential steps of shear wave velocity estimation, fluid substitution,attribute optimization,attribute classification and reservoir prediction. This method has been applied to predict sandstone distribution and hydrocarbon accumulation based on field data. The result is consistent with drilling result in the test area.