CRC方法及其在地震数据质量控制中的应用

CRC method and its application in seismic data quality control

不同存储介质之间海量地震数据交换需要进行数据容错检验以保障数据质量。分析了奇偶校验、原始校验和校验方法以及地震处理中所用的CRC方法,认为CRC明显优于其他两种校验方法。进一步探讨了Flechter和CRC-32两种CRC算法,为存档海量地震数据一致性质量检测提供了理论依据。研究成果已经应用于胜利油田物探研究院的海量地震数据管理中,发现并有效解决了资料存档管理中存在的问题。

The massive seismic data exchange between different storage media requires data fault-tolerant test in order to ensure data quality.The parity check,the original check and the CRC method used in seismic processing are analyzed.It shows that the CRC is obviously superior to the other two check methods.Two CRC algorithms of the Fechter’s checksums and the CRC-32 check are discussed,and a theoretical basis for the quality check of the consistency of the massive seismic data are provided.The research results have been used in the management of massive seismic data in the Geophysical Research Institute of Shengli Oilfield Branch Co.,the problems in data storage and management are found out and effectively solved.