摘要
为了提高相干体技术刻画地震数据体中地层细微不连续性特征的精度,提出了一种基于非线性变时窗的相干算法。与基于本征结构的相干体技术C3相比,该方法包括三项关键技术:1利用时频分析方法计算的瞬时中心频率自适应地确定相干体属性的时窗长度;2应用Kendall秩相关分析代替Pearson相关分析构建用于计算相干属性的正定矩阵;3采用信息散度作为分析点相干度量。实际资料应用结果表明:此法计算的相干体属性不仅压制了沿同相轴分布的低相干条带假同相轴,取得了较好的地层细微不连续性检测效果,而且计算效率得到显著的提高。
To enhance coherence cube in subtle discontinuity characterization on seismic data,we propose a nonlinear variable-time window coherence algorithm. Compared with the conventional eigen structure-based coherence computations(C3),the proposed algorithm includes three key parts:A.The instantaneous center frequency,calculated via time-frequency analysis,is used to determine adaptively time-window length for calculating coherence attribute;B.Kendall rank correlation analysis,instead of Pearson correlation analysis,is employed to construct the positive definite matrix for calculating coherence attribute;C.Information divergence is defined as coherence measurement of the analysis point.Experiment results show that the proposed algorithm suppress low-coherence strip phenomenon along seismic event,enhance 3D structural and stratigraphic subtle discontinuity characterization,and improve calculation efficiency.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2016年第2期371-375,209,共5页
Oil Geophysical Prospecting
基金
电子科技大学科研启动基金项目(ZYGX2015KYQD049)
国家自然科学基金项目(41374111
41374134)联合资助
关键词
相干体
不连续性
Kendall秩相关分析
瞬时中心频率
信息散度
coherent cube
discontinuity
Kendall rank correlation analysis
instantaneous central frequency
information divergence
