基于萤火虫算法的雷瑞波非线性反演(英文)

doi:10.1007/s11770-014-0430-8

CORC > 北京大学 > 地球与空间科学学院

	基于萤火虫算法的雷瑞波非线性反演(英文); Rayleigh wave nonlinear inversion based on the Firefly algorithm
	周腾飞 ; 彭更新 ; 胡天跃 ; 段文胜 ; 姚逢昌 ; 刘依谋
刊名	applied geophysics
	2014
关键词	面波近地表横波速度萤火虫算法非线性反演 Rayleigh wave near-surface Firefly algorithm shear velocity
DOI	10.1007/s11770-014-0430-8
英文摘要	雷瑞波具有强振幅、低频和低速的特点,在反射地震勘探中通常是需要被压制的强噪声。本文研究如何利用雷瑞波获取近地表地层的横波速度和地下结构,选取萤火虫优化算法进行面波的反演,萤火虫优化算法是一种新的粒子群算法理论,具有稳定、快捷、全局搜索等特点。针对萤火虫优化算法优缺点进行了讨论和改进,通过对理论模型和野外数据的测试应用,将提取的瑞利面波频散曲线反演得到横波速度信息。结果表明萤火虫优化算法能实现面波非线性反演,并具有分辨率高、抗干扰能力强等优点和实际使用前景。; Rayleigh waves have high amplitude, low frequency, and low velocity, which are treated as strong noise to be attenuated in reflected seismic surveys. This study addresses how to identify useful shear wave velocity profile and stratigraphic information from Rayleigh waves. We choose the Firefly algorithm for inversion of surface waves. The Firefly algorithm, a new type of particle swarm optimization, has the advantages of being robust, highly effective, and allows global searching. This algorithm is feasible and has advantages for use in Rayleigh wave inversion with both synthetic models and field data. The results show that the Firefly algorithm, which is a robust and practical method, can achieve nonlinear inversion of surface waves with high resolution.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000339307200006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; SCI(E); 中国科学引文数据库(CSCD); 1; tianyue@pku.edu.cn; 02; 167-178+253; 11
语种	中文
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/173034]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	周腾飞,彭更新,胡天跃,等. 基于萤火虫算法的雷瑞波非线性反演(英文), Rayleigh wave nonlinear inversion based on the Firefly algorithm[J]. applied geophysics,2014.
APA	周腾飞,彭更新,胡天跃,段文胜,姚逢昌,&刘依谋.(2014).基于萤火虫算法的雷瑞波非线性反演(英文).applied geophysics.
MLA	周腾飞,et al."基于萤火虫算法的雷瑞波非线性反演(英文)".applied geophysics (2014).