摘要
高分辨率归一化自举微分相似系数(Normalized Bootstrapped Differential Semblance,NBDS)速度分析方法为地震资料的高分辨率速度分析提供了一种新途径。其具体思路是在标准相似系数法速度分析基础上引入归一化微分相似系数和统计学中的自举法,利用归一化微分相似系数对于地震道序的敏感性,通过自举法改变地震道排列顺序来放大相邻地震道间子波飘移量,在压制噪声产生的高相干值的同时使得速度分析相干算子最大化,从而提高速度分析算子的分辨率,改善常规相似系数叠加速度谱能量团发散现象,提高速度拾取精度。理论模型及实际地震资料试算结果表明,高分辨率NBDS速度分析结果的分辨率明显优于标准相似系数法,可代替标准相似系数法应用于时域速度分析构建速度谱。
The high-resolution normalized bootstrapped differential semblance(NBDS)velocity analysis method provides a new approach for high-resolution velocity analysis on seismic data.It could be illustrated as follows:on the basis of the standard semblance velocity analysis,normalized differential semblance and bootstrapping in statistics are brought in.The sensitivity of normalized differential semblance to seismic trace array sequence is used and the wavelet drifts between the adjacent seismic traces are enlarged by alternating the seismic trace sequence via bootstrapping.High coherence values from noise are suppressed while allowing coherence operator to maximize.Thus the resolution of velocity analysis operator is enhanced and the divergence of energy clots in stacking velocity spectrum by standard semblance is improved.The synthetic and field data examples show that high-resolution NBDS velocity analysis is much superior to standard semblance velocity analysis.It could be a substitute for standard semblance applied to build velocity spectrum by velocity analysis in time domain.
出处
《石油物探》
EI
CSCD
北大核心
2014年第5期530-536,共7页
Geophysical Prospecting For Petroleum
基金
国家自然科学基金项目(41074089)
陕西省自然科学基金项目(2011JM5008)联合资助
关键词
速度分析
高分辨率
自举法
归一化
微分相似系数
velocity analysis,hig hresolution,bootstrapping,normalization,differential semblance
