The Basin-scale Seismic Big-data Platform of Daqing Oilfield, focusing on the needs of oilfield exploration and development, deeply integrates seismic processing operations with information technology, and is gradually becoming a new generation platform of intelligent seismic-geology integration. At present, the platform faces difficulties such as a variety of data types, large volume, inconsistent quality, and time-consuming data disassembly, which restrict standardized management and effective application of the platform and cannot meet the production needs of high-quality, efficient, and full life cycle exploration and development. Through continuous exploration and practice, a data label management method has been established for cross checking, multi-level supervision, form analysis, professional quality control, and electronic information, achieving comprehensive management of seismic big-data. On this basis, the rapid tracking and matching technology of pre-stack data in multiple work areas was developed to achieve effective data fusion across work areas, and efficiently completed the 9948 km2 of zone-level multi-area processing task in Qijia-gulong area of Songliao Basin and the delicacy-processing of target areas, which strongly supported the exploration and development of shale oil field and the deployment of horizontal wells.