石油地球物理勘探2026，Vol.61Issue(1)：73-85,13.DOI:10.13810/j.cnki.issn.1000-7210.20250102
基于改进飞狐优化算法的瑞雷面波频散曲线反演
Rayleigh surface wave dispersion curve inversion based on improved flying foxes optimization
摘要
Abstract
When dealing with complex seismic-geological condition data,Rayleigh wave exploration technology faces challenges in fast and accurate inversion of formation parameters because the inversion of dispersion curves involves multi-parameters,multi-extremes and nonlinearity.Therefore,a Rayleigh surface wave disper-sion curve inversion method is proposed based on improved flying foxes optimization.First,in response to the local optimum of flying foxes optimization in the later stage of iteration,the Lévy flight strategy is introduced and its distribution is applied to replace the existing uniform distribution of flying foxes optimization,thus en-hancing the global optimization ability of the algorithm.Second,local optimal perturbation is introduced during the iteration process to develop the improved flying foxes optimization and increase the population diversity,which helps the algorithm quickly approach the global optimal location and direction,avoid local extremum,and improve solution accuracy and approaching speed.Third,a Benchmark function test is carried out on the im-proved flying foxes optimization to verify its superior performance on issues with different complexities.A typi-cal geologic model is also established to conduct the theoretical dispersion curve inversion with and without noise.Therefore,the effect and advantages of the algorithm in the Rayleigh surface wave dispersion curve inver-sion are confirmed.Performance test results of two commonly used Benchmark functions indicate that the im-proved flying foxes optimization is superior to the classical one in global optimization ability.The standard devia-tion and relative error are further introduced for quantitative analysis.The results show that the improved flying foxes optimization has higher inversion accuracy and stability than the traditional one,showing strong applica-tion potential.关键词
瑞雷面波/频散曲线/改进飞狐优化算法/反演Key words
Rayleigh surface wave/dispersion curve/improved flying foxes optimization/inversion分类
天文与地球科学引用本文复制引用
邹瑞杰,李红星,姚振岸,宫猛,盛书中,王向腾..基于改进飞狐优化算法的瑞雷面波频散曲线反演[J].石油地球物理勘探,2026,61(1):73-85,13.基金项目
本项研究受国家自然科学基金项目"起伏地形下微动多阶SPAC系数与视频散曲线联合成像方法研究"(42474197)、江西省自然科学基金重点项目"起伏地形下基于短排列道集的多阶面波多道分析方法研究"(20242BAB26049)、江西省主要学科学术和技术带头人—领军人才(学术类)培养项目"基于深度学习的远震接收函数地壳特征预测方法研究及江西地壳成像应用"(20243BCE51012)和东华理工大学校级研究生创新专项项目"基于改进飞狐优化算法的频散曲线反演"(DHYC-2025112)联合资助. （42474197）
