Title :
Study of the Prestack Elastic Parameter Inversion Based on Immune Genetic Algorithm
Author :
Zhang Haiyan ; Li Xin
Author_Institution :
Dept. of Electr. Eng., Ocean Univ. of China, Qingdao, China
Abstract :
In order to efficiently invert seismic amplitudes for elastic parameters, the Zoeppritz equations are simplified with only four independent elastic property contrasts across the interface. A novel immune genetic algorithm (IGA) is presented for geophysical P-wave amplitude variation with offset (AVO) inversion. The details of an IGA approach are described and implemented. The elitism method increases the probability of finding the global optimum. The mechanism of antibody suppression and the adaptive probabilities of crossover and mutation adoption greatly improve the effectiveness of IGA. Applying the IGA to typical earth interface models for P-wave AVO inversion, four rock property contrasts are better extracted. The precision of the inverted P-wave velocity and bulk density contrast is high.
Keywords :
elasticity; genetic algorithms; geophysical signal processing; inverse problems; rocks; seismic waves; seismology; IGA; P-wave AVO inversion; Zoeppritz equations; amplitude variation with offset inversion; antibody suppression mechanism; crossover adaptive probability; earth interface models; elitism method; global optimum search; immune genetic algorithm; independent elastic property contrasts; mutation adoption adaptive probability; prestack elastic parameter inversion; seismic amplitude inversion; Equations; Genetic algorithms; Immune system; Mathematical model; Modeling; Optimization; Reflection; AVO inversion; Elastic Parameter; Genetic Algorithm; Immune Algorithm;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.281