摘要
基于小波分频的本征值相干属性的应用,实现对裂缝、断层和褶皱等地质构造的有效识别。介绍了相干属性的基本理论,分析了未经过小波分频的地震数据体的相干属性在处理实际资料中的不足,提出了一种基于小波分频的地震数据体来表现本征值相干属性的方法:对原始数据体进行小波分频的处理,将处理后的地震数据体进行第3代相干属性的求取,然后对未经处理的地震资料和经过小波分频的各主要频率的地震数据体的本征值相干地震属性的成图效果进行比较,结果表明基于小波分频的相干属性在高分辨率构造精细识别和裂缝的判别、构造体的几何特征描述上有着良好的应用效果。
The application of coherent attribute of eigenvalues,which is based on wavelet time-frequency, enables effective identification of cracks, faults and folds and other tectonics. This article describes the basic theory of coherent attributes, analyzes the inadequacies of coherent properties of the seismic data volume without wavelet time-frequency in dealing with actual data, proposes a method of using seismic data volume based on wavelet time-frequency to express the coherent properties of eigenvalues,the method:process the original data volume with wavelet time-frequency, calculate the processed seismic data volume with the third generation coherent properties, then compare the mapping results of seismic attributes which are through two methods,and analyze the similarities and differences,conclude that the coherence properties based on wavelet time-frequency has a good application result in high-resolution fine structure identification,crack discriminant and the geometric characterization of structural body.
出处
《长江大学学报(自然科学版)》
CAS
2011年第1期39-42,280,共4页
Journal of Yangtze University(Natural Science Edition)
基金
国家高技术研究发展计划("863"计划)(2006AA09A102-12)
国家自然科学基金资助项目(41004054)
关键词
小波分频
本征值相干
相干属性
构造识别
wavelet time-frequency
eigenvalue coherent
coherent properties
structure identification