Comprehensive Management and Application for Big Data of Pre-stack Seismic Data

As the revitalization and development of Daqing oilfield has entered a new stage, new requirements have been put forward for the large-scale processing of massive seismic data, and the seismic data processing has entered the era of basin-level massive pre-stack data. The quality of massive pre-stack seismic data is closely related to the quality of migration imaging, which greatly affects the optimization of trap target, well position deployment and adjustment of engineering scheme. Therefore, the comprehensive treatment of massive prestack seismic data is of great significance to the high-quality development of oilfield exploration and development. Due to issues such as missing data header information, non-standard archive content, difficulty in data back-tracking, unsynchronized data structure and document storage, the quality of pre-stack seismic data is affected to varying degrees, unable to meet the needs of high-quality, efficient, and full lifecycle exploration and development. Professional big-data comprehensive management means are needed. Through continuous exploration and practice, a “Five Refined Quality Control” has been established for pre-stack big-data management methods, which includes institutionalized modes, quality control processes, evaluation forms, software standardization, and management informatization, achieving standardized management and standardized governance of pre-stack seismic data. The method is applied to massive seismic pre-stack data, and established a pre-stack middle results database for the entire exploration area of Daqing. In the continuous processing task of tract 24 in the Gulong area of the Songliao Basin, high-quality middle results data were used to shorten the 26 month continuous processing cycle to 9 months, greatly improving the seismic processing efficiency and achieving significant promotion and application results.