地表一致性统计相关分析法及其应用

Surface-consistence statistical autocorrelation of seismic data

在高精度地震数据处理中,对数据的分析和认识十分重要,而有效的分析方法则有助于认识问题,在处理中可以更有针对性地采取相应的措施。为此,提出了基于地表一致性的统计相关函数分析方法。首先给出了自相关函数统计算法,讨论了相关函数的性质,介绍了地表一致性假设前提下统计相关分析法的基本原理;然后从原始数据分析、异常数据集检测、处理关键环节的质量控制等方面,讨论了自相关函数和统计特征参数在数据分析中的作用。不同地区的实际应用表明:地表一致性相关函数统计法能够综合地分析原始地震数据的特征,监控处理过程中数据特征的变化,多方位地对质量进行控制,使处理效果得到了较大的提高。

The autocorrelation of seismic data are employed for analysis and quality controlling in data processing. A statistical autocorrelation analysis method based on surface-consistence is presented. Firstly, a statistical algorithm of autocorrelation function is proposed, the principle of autocorrelation analysis based on surface-consistence is discussed. Then the application of autocorrelation function and statistical characteristic parameter in data analyzing is studied in terms of raw data analysis, abnormal trace detection and the effect of estimation in key steps in seismic data processing. The applications in different areas show that the statistical autocorrelation of seismic data is one of the most efficient tools in data processing.