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基于Kendall一致性度量的地震数据相干估计算法(英文)

发布时间:2018-03-21 22:03

  本文选题:一致性度量 切入点:相干估计 出处:《Applied Geophysics》2016年03期  论文类型:期刊论文


【摘要】:相干体方法常被用于刻画地震数据的不连续性和非均质性,但相干体方法若使用线性相关系数度量两个随机变量(即两个地震道)之间的关系,由于随机变量的关系是非线性的,用线性相关系数度量描述非线性关系,根据数学定义,存在一定的局限性。为了能更准确度量地震道波形之间的相似性),本文提出一种基于Kendall一致性度量算法,克服线性相关系数度量存在一定的局限性。本文的重点是研究线性相关系数度量和一致性度量对波形相似性变化的敏感性,我们设计了两个数值模型测试这两种度量对波形相似性变化的敏感性,发现Kendall一致性度量对波形的变化比线性相关系数度量更敏感,可用于精细刻画波形的变化,并结合信息散度度量可更精细刻画地层非均质性方法,我们将其应用处理实际的地震资料数据,表明该方法不但有效并具有较高的分辨率。
[Abstract]:Coherent volume method is often used to describe the discontinuity and heterogeneity of seismic data, but the linear correlation coefficient is used to measure the relationship between two random variables (i.e. two seismic traces). Because the relation of random variable is nonlinear, the linear correlation coefficient is used to describe the nonlinear relation, according to the mathematical definition, In order to measure the similarity between seismic trace waveforms more accurately, a consistency measurement algorithm based on Kendall is proposed in this paper. To overcome the limitations of linear correlation coefficient measurement, this paper focuses on the sensitivity of linear correlation coefficient measurement and consistency measure to the variation of waveform similarity. We design two numerical models to test the sensitivity of these two measures to the variation of waveform similarity. It is found that the Kendall consistency measure is more sensitive to the variation of waveform than the measure of linear correlation coefficient, and can be used to describe the variation of waveform in detail. Combined with the information divergence metric, the method of stratigraphic heterogeneity can be described more finely. The method is applied to processing the actual seismic data, which shows that the method is not only effective but also has a high resolution.
【作者单位】: 西安交通大学电子与信息工程学院波动与信息研究所;海洋石油勘探国家工程实验室;中国石油长庆油田分公司勘探开发研究院;
【基金】:supported by the Major Programs of National Natural Science Foundation of China(No.41390454) the Major Research Plan of the National Natural Science Foundation of China(No.91330204)
【分类号】:P631.44


本文编号:1645740

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