Elastic information carries important data about subsurface lithology and fluid. It is highly valued by the seismic exploration industry. Compared with other methodologies (e.g., 9C VSP and 3D 3C), prestack P-wave methods are used extensively to address reservoir and fluid prediction because of their wide availability of data. However, many traditional technologies can hardly extract accurate P-wave and S-wave information from conventional prestack PP data because of lacking systematic studies on how to properly handle prestack amplitudes. A new concept, prestack elastic integration (PEI), emphasizes comprehensive interactions among rock physics, amplitude-preserved processing, and inversion algorithm. The influences of the three aspects are examined and discussed with real examples. Moreover, achievements of PEI are demonstrated through its application on a complex lithologic reservoir in eastern China, in which PEI characterizes target reservoir properties much better than traditional methods do.