Inversion of interval velocity using genetic algorithm

The paper discussed the principle of genetic algorithm (GA), a method used to solve nonlinear optimization problems. Research results indicate that GA favours complex problems including inversion without borehole data constraint and inversion of data with low signal/noise ratio. The analyses of its stability and its sensibility to noise show that GA is quite noise resistant. GA is initially used in interval velocity inversion of seismic data and displays its potentiality in seismic data processing.