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久期函数值作为目标函数的瑞雷波频散曲线反演

Inversion of Rayleigh Wave Dispersion Curve with Secular Function Value as Objective Function
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摘要 传统的多模式瑞雷波频散曲线反演需要正确的模式判别。然而,当地层中含有低速软夹层或高速硬夹层等复杂结构时,频散曲线可能会出现“模式吻合”和“模式跳跃”等现象,极易造成模式误判,进而导致错误的反演结果。为了解决多模式频散曲线反演的“模式误判”问题,本文基于“久期函数”构建应用于瑞雷频散曲线反演的新型目标函数,该目标函数不需要进行预先的模式判别。另外,使用随机权重的粒子群优化算法,使优化算法在全局和局部搜索方面的能力更均衡。结合新型目标函数与随机权重的粒子群优化算法对数值模拟数据与实际工程数据进行处理,所得到的各阶频散曲线具有较高的拟合度,从而可以得到准确的地层横波速度结构。结果表明,基于久期函数值的新型目标函数可以有效解决“模式误判”问题,具有可行性。 Traditional multi-mode Rayleigh wave dispersion curve inversion needs correct pattern identification.However,when there are complex structures such as low speed soft interlayer or high speed hard interlayer in the ground layer,the dispersion curve may concur with“mode matching”and“mode jumping”,which is liable to cause model misjudgment,and then wrong inversion results.In order to solve the problem of“pattern misjudgment”in multi-mode dispersion curve inversion.this paper constructs a new objective function based on“secular function”for Rayleigh dispersion curve inversion,which does not require pattern discrimination in advance.In addition,this paper uses particle swarm optimization(PSO)algorithm with random weight to make the global and local search ability more balanced.Then,new objective function combined with PSO is applied to process numerical simulation data and measured data.Dispersion curves obtained by result have a high fitting degree.The new objective function based on the“secular function”can solve the problem of“pattern misjudgement”,and it’s fessible.
作者 宫丰 陈晓非 凡友华 刘雪峰 唐海兵 Gong Feng;Chen Xiaofei;Fan Youhua;Liu Xuefeng;Tang Haibing(Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology,Southern University of Science and Technology,Shenzhen Guangdong 518055,China;School of Science,Harbin Institute of Technology,Shenzhen Guangdong 518055,China;Aviation Engineering Institute,Civil Aviation University of China,Tianjin 300300,China;Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen Guangdong,518055,China;Guanming Administration,Shenzhen Municipal Transportation Bureau,Shenzhen Guangdong,518055,China)
出处 《工程地球物理学报》 2022年第5期742-752,共11页 Chinese Journal of Engineering Geophysics
基金 深圳市深远海油气勘探技术重点实验室项目(编号:ZDSYS20190902093007855) 国家自然科学基金(编号:41204042,11602173)。
关键词 瑞雷波 久期函数 反演 粒子群算法 Rayleigh waves secular function inversion particle swarm optimization
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