Seismic datasets in many domestic hydrocarbon fields typically were acquired from multiple adjacent blocks and different years. These datasets exhibit inconsistencies in phase, time, and amplitude, which were affected by various factors such as the observation systems and the geophones and so on. The problem of merging these seismic datasets must be solved to fully utilize the seismic and achieve unified fine prediction of reservoirs in the entire area and the integrated deployment of exploration and development. This paper introduced the velocity-type geophone transform into the consistency processing of multi-blocks. The geophone responses of different blocks were unified to the geophone frequency of the reference block combined with differential equations under the condition that parameters related to velocity-type geophone in each block were known. The deterministic differences were eliminated in phase and time caused by variations in the natural frequency of geophones. Wavelet-phase and time discrepancies between adjacent blocks were quantitatively analyzed by the cross-correlation wavelet analysis technology. Moreover, the technology can also conduct quality control on each stage of phase and time consistency processing. The proposed method was applied to dataset from six adjacent blocks in the southwestern Daniudi gas field. And the minimum slice of the target strata was extracted. It was demonstrated that our proposed method yields superior results to the conventional processing approach by comparative analysis. The minimum slice of the target strata by the method proposed in this paper was clearer and could reflect the characteristics of the river channel. The effectiveness of the proposed method is verified.