A new method for seismic wavelet extraction and interval velocity inversion
一种新的地震子波提取与层速度反演方法

Based on swarm intelligence,particle swarm optimization(PSO) algorithm is a kind of nonlinear global optimization method which is advanced for this decade.This paper introduced its basic principle in detail,and applied it to wavelet extraction and interval velocity inversion.Based on numerical simulation,we studied its feasibility and efficiency from different aspects.From the results it showed that the method has good effects in synthetic seismogram inversion with different resolution,signal to noise ratio and phase.