摘要
讨论了基于叠加能量、相似系数、相位相关和特征值等算法的速度分析方法,利用数值模拟数据和实际资料对这些速度分析方法进行了时间分辨率、速度分辨率和抗噪性能分析。结果表明,在时间分辨率、速度分辨率和抗噪性能方面,相似系数法、相位相关法和特征值法都明显优于常规叠加能量法;在浅层,相似系数法、相位相关法和特征值法的速度分辨率差别不大,相似系数法和特征值法的时间分辨率比相位相关法略高;在深层,特征值法的时间分辨率和速度分辨率最高,相位相关法次之,相似系数法稍差。
Four velocity analysis methods were discussed,which was separately based on stack energy,semblance coefficient,statistical phase correlation and eigenstructure algorithms.Numerical simulation data and actual data were utilized to analyze the time resolution. velocity resolution and anti-noise performance of these velocity analysis methods.The results show that semblance coefficient method,statistical phase correlation method and eigenstructure method are significantly superior to conventional stack energy method.In shallow layer,the velocity resolution has little difference for semblance coefficient method,statistical phase correlation method and eigenstructure method,the time resolution of statistical phase correlation method is a little lower than that of the other two methods;in deep layer,the time resolution and velocity resolution of eigenstructure method is highest,the second is statistical phase correlation method,and the third is semblance coefficient method.
出处
《石油物探》
EI
CSCD
北大核心
2009年第4期347-353,共7页
Geophysical Prospecting For Petroleum
关键词
速度分析
分辨率
抗噪性能
叠加能量
相似系数
相位相关
特征值
velocity analysis
resolution
anti-noise performance
stack energy
semblance coefficient
statistical phase correlation
eigenstructure