Rayleigh wave nonlinear inversion based on the Firefly algorithm
Zhou Teng-Fei1,2, Peng Geng-Xin3, Hu Tian-Yue1,2, Duan Wen-Sheng3, Yao Feng-Chang1,2, and Liu Yi-Mou3
1. Research Institute of Oil and Gas, Peking University, Beijing 100871, China.
2. Research Institute of Exploration and Development, PetroChina, Beijing 100083, China.
3. Research Institute of Exploration and Development, Tarim Oilfield, PetroChina, Korla, 841000, China.
Abstract：
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.
ZHOU Teng-Fei,PENG Geng-Xin,HU Tian-Yue et al. Rayleigh wave nonlinear inversion based on the Firefly algorithm[J]. APPLIED GEOPHYSICS, 2014, 11(2): 167-178.
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2014, Vol. 11 
