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作 者:万志 田仁飞[1,2] 刘俊杰 WAN Zhi;TIAN Renfei;LIU Junjie(College of Geophysics,Chengdu University of Technology,Chengdu 610059,China;Key Lab of Earth Exploration&Infomation Techniques of Ministry Education,Chengdu 610059,China)
机构地区:[1]成都理工大学地球物理学院,成都610059 [2]地球勘探与信息技术教育部重点实验室,成都610059
出 处:《物探化探计算技术》2025年第2期200-208,共9页Computing Techniques For Geophysical and Geochemical Exploration
基 金:国家自然科学基金项目(41304080)。
摘 要:多道面波分析方法在浅层速度结构成像中得到了广泛应用。提取面波频散曲线是反演地下速度结构的重要手段之一,而常规的相移法在处理深反射地震数据的频散曲线提取时,存在计算效率和分辨率低的问题。为了改进这些问题,笔者将Goertzel算法与相移法相结合,旨在减少冗余计算并提高计算效率。同时,通过对自功率谱进行优化,使相移法获得的面波频散谱能量更聚集,从而提高识别频散曲线的精度。使用提出的改进相移法对理论模型数据和实际深反射地震数据进行计算,并与原始相移法的结果进行比较。研究结果表明,改进的相移法能够更快速地获得更高分辨率的频散谱图,可为地下速度结构的精确成像提供高精度的频散曲线。The multi-channel surface wave analysis method has been widely used in shallow velocity structure imaging.Extracting surface wave dispersion curves is one of the crucial methods for inferring underground velocity structures.However,the conventional phase-shift method has problems of low computational efficiency and resolution when dealing with the extraction of dispersion curves from deep reflection seismic data.To address these issues,this study combines the Goertzel algorithm with the phase-shift method,aiming to reduce redundant calculations and improve computational efficiency.At the same time,by optimizing the auto-power spectrum,the surface wave dispersion spectrum obtained by the phase-shift method has more concentrated energy,which improves the precision of identifying dispersion curves.The proposed enhanced phase-shift method is used to calculate theoretical model data and actual deep reflection seismic data,and the results are compared with those of the conventional phase-shift method.The research results show that the improved phase-shift method can more rapidly obtain higher-resolution dispersion spectrum maps,providing precise dispersion curves for accurately imaging underground velocity structures.
关 键 词:Goertzel 相移法 面波 频散曲线 自功率谱
分 类 号:P631.84[天文地球—地质矿产勘探]
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