基于改进蜣螂优化算法的瑞雷波频散曲线反演方法  

Inversion of Rayleigh wave dispersion curve based on improved dung beetle optimizer algorithm

作　　者：董奕含 喻志超 胡天跃[1] 何川[1] DONG Yihan;YU Zhichao;HU Tianyue;HE Chuan(School of Earth and Space Sciences,Peking University,Beijing City,100871,China;Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing City,100029,China)

机构地区：[1]北京大学地球与空间科学学院,北京100871 [2]中国科学院地质与地球物理所,北京100029

出　　处：《油气地质与采收率》2023年第4期86-97,共12页Petroleum Geology and Recovery Efficiency

基　　金：中国石油化工集团公司资助项目“高酸性气田集输管道泄漏微震实时监测与报警技术”(322083)。

摘　　要：瑞雷波勘探方法是一种常用的近地表勘探技术,频散曲线反演是瑞雷波勘探数据处理流程中的关键步骤之一。作为一个典型的多参数、多极值、高度非线性的地球物理优化问题,频散曲线的准确、高效反演对计算近地表横波速度场,进而获取地层结构信息具有重要意义。提出一种基于改进的蜣螂优化算法的瑞雷波频散曲线反演方法,使用Halton序列初始化种群个体的位置,更好地控制初始化种群的空间分布;通过种群划分,对不同的子种群采用不同的搜索策略,一方面避免反演搜索陷入局部最优,同时实现算法的快速收敛。使用3个理论地质模型和实际资料,对改进蜣螂优化算法应用于频散曲线反演以获取地下横波速度分布的有效性进行验证。结果表明,与使用当前较为主流的改进自适应遗传算法进行频散曲线反演相比,新方法有效、稳定且能够快速收敛得到最优解。The Rayleigh wave exploration method is a commonly used near-surface exploration technique,and dispersion curve inversion is one of the key steps in the data processing of Rayleigh wave exploration.As a typical multi-parameter,multi-extreme,and highly nonlinear geophysical optimization problem,accurate and efficient inversion of dispersion curves is of great significance for calculating near-surface S-wave velocity fields and obtaining stratigraphic structure information.We propose a method for the Rayleigh wave dispersion curve inversion based on improved dung beetle optimizer(DBO)algorithm.The method uses Halton sequence to initialize the position of the population,so as to better control the spatial distribution of the initialized population,and it adopts different search strategies for different sub-populations by population division,so as to avoid the inversion search falling into the local optimum and realize the fast convergence of the algorithm.In this paper,three theoretical geological models and a set of practical data are used to verify the effectiveness of the improved DBO algorithm applied to the inversion of dispersion curves to obtain the subsurface S-wave velocity distribution.The results show that the new method is more effective and stable than the current mainstream improved adaptive genetic algorithm for dispersion curve inversion and can converge to the optimal solution quickly.

关 键 词：瑞雷波勘探 频散曲线 蜣螂优化算法 非线性反演 Halton序列 

分 类 号：TE19[石油与天然气工程—油气勘探]