Abstract: The rapid progress of seismic imaging, the (comprehensive) data completion of the exploration block, and a change in the target of reservoir exploration, all require seismic data reprocessing.Moreover, lower oil prices make oil companies more sensitive to investing in new data acquisition, thereby further promoting the development of seismic data reprocessing.Reprocessing is an important tool to exploit potentialities and increase reserves.Crucial to seismic data reprocessing is the application of new processing techniques which, supported by comprehensive information, can improve the accuracy, fidelity, and resolution of structural imaging, and achieve fine reservoir characterization.Among the techniques that may improve the amplitude fidelity, residual amplitude compensation, amplitude-preserving migration, and quantitative QC can be utilized.To improve the signal-to-noise ratio, techniques such as amplitude-preserving denoising, multiple suppression, regularization, and special stack imaging are available, whereas to improve the resolution, techniques such as deconvolution, Q compensation, and consistency processing should be mentioned.Concerning the improvement of migration accuracy, near-surface static correction, high-precision velocity modeling, migration, and processing in the OVT domain can be implemented.Finally, to merge new and old data, the unified processing grid, bin homogenization, unified static correction, consistency processing, matched filtering, regularization, unified velocity, and imaging processing should be mentioned.By means of two examples of seismic data reprocessing, the value of the proposed techniques of seismic data reprocessing was verified.