Time-lapse seismic technology plays a crucial role in monitoring changes in the fluid reservoir of offshore oil and gas fields. Conventional time-shifted seismic data collection is required to be repeated, but the actual data collection is difficult to be completely repeated due to different purposes. A lot of 2D and 3D datasets can meet the requirements of time-shift seismic comparison through consistency processing. With the development of multi-component seismic exploration technology, research on time-lapse seismic monitoring by combining multi-component seismic data with early towed streamer data is still limited. In order to further study in time-shift seismic research, This paper conducts a study on non-repetitive time-lapse seismic matching processing based on early towed streamer data and recent Ocean Bottom Cable (OBC) seismic data collected from an oil field in the South China Sea. Due to significant differences in acquisition time, acquisition methods, parameters, and seismic geometry between the two datasets, noise, multiples, and ghost waves exhibit distinct differences. After performing denoising, multiple removal, and ghost wave suppression on the two datasets, the study analyzes their differences, focusing on specific factors such as amplitude, frequency, signal-to-noise ratio (SNR), wavelet phase, and time difference. A mutual equalization method is selected for consistency matching processing of both datasets before pre-stack depth migration. Subsequently, based on the migrated results, it is analyzed whether post-migration consistency matching is required. The results of the study indicate that the raw OBC data has stronger amplitude energy, narrower frequency bandwidth, higher signal-to-noise ratio, and smaller wavelet sidelobes compared to the raw towed streamer data. The consistency processing workflow can effectively match the differences in amplitude energy, frequency bandwidth, signal-to-noise ratio, wavelet phase, and time difference between the two datasets. After consistency matching, both datasets can be used for time-lapse comparison analysis. This research provides a feasible matching processing method for non-repetitive time-lapse seismic studies using multi-component OBC seismic data in conjunction with towed cable data, laying the foundation for subsequent time-lapse seismic studies based on multi-component data.