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基于变分模态分解的谱蓝化方法在叠前地震资料高分辨处理中的研究及应用

Research and application of pre-stack spectral bluing method based on VMD
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摘要 叠前地震资料的分辨率会影响叠前反演的精度以及AVO分析的结果,所以提高叠前道集的分辨率就显得尤为重要。谱蓝化高分辨方法结合了测井信息,使处理后的地震资料更加接近实际情况。但其在计算过程中,使用各道叠加的平均振幅谱计算谱蓝化算子,导致部分频谱信息未参与计算。因此笔者提出基于VMD(变分模态分解方法)的谱蓝化方法,通过VMD将地震数据分解为多个IMF(本征模态分量),计算其谱蓝化算子,以提高各IMF的分辨率,并重构得到高分辨地震数据结果。在合成道集和实际地震道集数据处理中运用该方法,结果表明:基于VMD的谱蓝化方法进一步提高频谱信息以及叠前道集分辨率,与实际测井资料正演道集相吻合。 The resolution of pre-stack seismic data will affect the accuracy of pre-stack inversion and the results of AVO analysis,so it is particularly important to improve the resolution of the pre-stack track set.The spectral bluing high-resolution method combines well-logging information to make the seismic data close to the actual situation.However,in the calculation process,the average amplitude spectrum of each channel superposition is used to calculate the spectrum bluing operator,which leads to some spectral information not involved in the calculation.Therefore,this paper proposes a spectral bluing method based on VMD(variational mode decomposition method).The seismic data is decomposed into multiple IMFs(intrinsic mode components)through VMD.The spectral bluing operator is calculated to improve the resolution of each IMF,and the high-resolution seismic data results are obtained through reconstruction.The proposed method has been applied to the processing of synthetic track sets and actual seismic track set data.The results show that the spectral bluing method based on VMD can further improve the spectral information and the resolution of the pre-stack track set,and it is consistent with the forward track set of actual logging data.
作者 肖裕锋 曹俊兴 付京城 师少晨 向韬 XIAO Yufeng;CAO Junxing;FU Jingcheng;SHI Shaochen;XIANG Tao(Key Laboratory of Earth Exploration and Information Technology of Ministry of Education,Chengdu University of Technology,Chengdu 610059,China)
出处 《物探化探计算技术》 CAS 2024年第3期251-261,共11页 Computing Techniques For Geophysical and Geochemical Exploration
基金 国家自然科学基金重点项目(42030812)。
关键词 叠前反演 谱蓝化 高分辨率 变分模态分解 pre-stack inversion spectral blue high resolution variational mode decomposition
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