R Oilfield is a typical medium-sized reef limestone oilfield in Pearl River Mouth Basin of the South China Sea, with strong reservoir heterogeneity, complex reservoir connectivity, difficult inter-well correlation, difficult identification of lithologic boundary and "sweet spot" of low permeability reservoir, which has a great impact on the formulation and implementation of development plan. The quality of conventional seismic data is low, and the processing of conventional gather data often has the characteristics of low signal to noise ratio, low resolution, residual noise, and unequal gather, which has a greater impact on the quality and reliability of the pre-stack inversion results, so the reservoir prediction is difficult to achieve ideal prediction accuracy. This time, constrained by the spectrum trend of the well controlled forward gather, using well controlled gather spectral bluing processing technology and starting from the pre-stack CRP gather, systematic iteration and quantitative calibration of the conventional seismic gather were carried out through well-seismic calibration and quality control, so as to maximize the potential of the conventional seismic data, and to improve the resolution of seismic data reasonably and controllably. Thus, a pre-stack high-resolution seismic optimization processing method is formed for the limestone reservoir prediction. At the same time, with the help of multi-parameter fusion coordinate rotational petrophysical convergence analysis technology, the relationships between vp and vs, impedance and permeability is established, and based on the well controlled spectrum bluing seismic data, the innovative application of hierarchical facies controlled high resolution inversion technology for thin limestone reservoir has achieved good application results in the limestone "sweet spot" prediction in the target area, which provides a strong guarantee for oilfield development scheme design, well pattern optimization and development well implementation. A series of technical ideas and methods can provide empirical guidance and reference for the subsequent development and research of similar oilfields.