Rayleigh wave nonlinear inversion based on the Firefly algorithm  

基于萤火虫算法的雷瑞波非线性反演(英文)

作　　者：周腾飞[1,2] 彭更新[3] 胡天跃[1,2] 段文胜[3] 姚逢昌[1,2] 刘依谋[3] 

机构地区：[1]北京大学石油与天然气研究中心,北京1008712 [2]中国石油勘探开发研究院,北京100083 [3]中国石油塔里木油田公司勘探开发研究院,新疆库尔勒841000

出　　处：《Applied Geophysics》2014年第2期167-178,253,共13页应用地球物理（英文版）

基　　金：supported by the National Basic Research Program of China(No.2013CB228602);the National Science and Technology Major Project of China(No.2011ZX05004-003);the National High Technology Research Program of China(No.2013AA064202)

摘　　要：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.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。

关 键 词：Rayleigh wave NEAR-SURFACE Firefly algorithm shear velocity 

分 类 号：P631.4[天文地球—地质矿产勘探]