一种基于KPCA的绕射信息分离方法
发布时间：2018-09-05 17:28
【摘要】：在油气勘探的过程中,需要对叠后地震数据中的绕射波信息进行提取,从而得到地下小尺度地质体的信息.本文在前人提出的使用主成分分析法(PCA)提取绕射波信息的基础上,进一步发展使用了基于核的主成分分析技术(KPCA)的提取绕射波信息方法,即通过构建数据模型,选取核函数进行KPCA运算,并利用不同的主分量进行信号重构,从而达到将绕射波和反射波分离的目的.相对于传统PCA,这种方法对于地震数据中弯曲的同相轴,以及倾斜的界面或者倾斜的同相轴有着更好的识别能力,在提取过程中能够提供更加精细的绕射波信息.
[Abstract]:In the process of oil and gas exploration, it is necessary to extract the diffraction wave information from the post-stack seismic data, so as to obtain the information of the underground small-scale geological bodies. In this paper, based on the principal component analysis (PCA) method to extract diffraction wave information, we further develop the method of extracting diffraction wave information based on kernel principal component analysis (KPCA) technology, that is, to construct a data model. The kernel function is selected to perform KPCA operation and the different principal components are used to reconstruct the signal so as to separate the diffraction wave from the reflected wave. Compared with the traditional PCA, method, this method has a better ability to identify the bending in-phase axis, the inclined interface or the inclined in-phase axis in seismic data, and it can provide more precise diffraction information in the extraction process.
【作者单位】： 中国科学院地质与地球物理研究所中国科学院油气资源研究重点实验室;中国科学院大学;
【基金】：国家科技重大专项(2011ZX08005-004)资助
【分类号】：P631.4
，
本文编号：2224950
[Abstract]:In the process of oil and gas exploration, it is necessary to extract the diffraction wave information from the post-stack seismic data, so as to obtain the information of the underground small-scale geological bodies. In this paper, based on the principal component analysis (PCA) method to extract diffraction wave information, we further develop the method of extracting diffraction wave information based on kernel principal component analysis (KPCA) technology, that is, to construct a data model. The kernel function is selected to perform KPCA operation and the different principal components are used to reconstruct the signal so as to separate the diffraction wave from the reflected wave. Compared with the traditional PCA, method, this method has a better ability to identify the bending in-phase axis, the inclined interface or the inclined in-phase axis in seismic data, and it can provide more precise diffraction information in the extraction process.
【作者单位】： 中国科学院地质与地球物理研究所中国科学院油气资源研究重点实验室;中国科学院大学;
【基金】：国家科技重大专项(2011ZX08005-004)资助
【分类号】：P631.4
，
本文编号：2224950
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