Liu Lanfeng1, Wei Xiucheng1, Huang Zhongyu1, Wang Lu2, Li Lihua3
1. Petroleum Research Institute of Exploration & Development, SINOPEC, Beijing 100086, China;
2. Technique Center of China National Logging Corporation, CNPC, Xi'an, Shaanxi 710021, China;
3. Beijing Yadan Technology Development Co. Ltd., Beijing 102200, China
Abstract：For mass seismic data management in the current seismic processing system, a rapid gathering method is put forward in this paper using parallel sorting. Because seismic data is organized by multi-level keywords such as line and trace, it can be divided into several parts for parallel sorting by primary keywords on computation notes. The last task merged all of the firstly sorted results at the control of the inter-process synchronization through the storage procedure of database. The merged information can also be divided to perform parallel sorting by the next level keyword. Finally, the multi-level parallel sorting is rapidly achieved by parting the massive seismic data. Based on this sorting method, we develop the parallel data loading and parallel gathering modules in our seismic processing system and achieve good results in real seismic data processing.
Zhang Junhua, Tong Zhaoqi. The techniques of parallel computer in the seismic data processing. Computing Techniques for Geophysical and Geochemical Exploration, 2002, 24(1): 31-36.
Huang Zhongyu, Qu Shouli, Wang Yujing et al. Kirchhoff prestack time migration of PS-wave data for the layered anisotropic medium. Chinese Journal of Geophysics, 2009, 52(12): 3109-3115.
Zhu Shuyun, Zhu Xuguang, Xie Donglian et al. Efficiency analysis of seismic data processing with the application of parallel algorithm. OGP, 2011, 46(3): 493-499.
Zhao Changhai, Yan Haihua, Wang Honglin et al. Seismic data processing oriented parallel and distributed programming framework. OGP, 2010, 45(1): 145-155.
