Selective-correlation velocity analysis
Selective-correlation velocity analysis
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DOI：
10.1190/1.2435702
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发表时间：
2007-02
期刊：
影响因子：
3.3
通讯作者：
K. Larner;V. Celis
中科院分区：
文献类型：
--
作者：
K. Larner;V. Celis
计算速度谱分辨率的提高，有助于从倾角冲突的反射器中区分相邻的主波，以及在多次存在的情况下识别主波。从偏移和反射时域到叠加速度和零偏移时域的转换可以使用基于共同中点（CMP）采集或共同图像采集（CIG）中迹线相互关联的几种相干措施中的任何一种来实现。在一个集合中只使用选定的相互关系子集，而不是使用所有可能的相互关系子集，可以提高速度分析的可靠性和分辨率。在选择性相关速度分析中，我们在求和中只包括反射相对微分位移超过选定阈值的那些道对的互相关。通过对CMP集线的性能比较，无论是合成集线还是现场集线，都表明选择相关速度分析方法大大提高了CMP集线的分辨能力。
Increased resolution in computed velocity spectra aids in distinguishing between neighboring primary events from reflectors with conflicting dip and in identifying primaries in the presence of multiples. The transformation from the offset and reflection-time domain to the stacking-velocity and zero-offset-time domain can be achieved using any of several coherence measures based on crosscorrelations among traces in a common-midpoint (CMP) gather or a common-image gather (CIG). Use of just selected subsets of crosscorrelations rather than all possible ones in a gather can improve both the reliability and resolution of velocity analysis. In selective-correlation velocity analysis, we include in the summation only crosscorrelations for those pairs of traces with relative differential moveout of reflections exceeding a chosen threshold value. Comparisons of performance on CMP gathers, both synthetic and field-data, show that selective-correlation velocity analysis considerably enhances the resolving power of v...