中国石油大学学报（自然科学版）2017，Vol.41Issue(4)：65-70,6.DOI:10.3969/j.issn.1673-5005.2017.04.008
基于混合遗传算法的叠前随机反演方法
Pre-stack stochastic inversion based on hybrid genetic algorithm
摘要
Abstract
This paper proposed a pre-stack stochastic inversion method based on a hybrid genetic algorithm aiming to resolve the problem of low computation efficiency. It makes full use of the high frequency information of well logging data and is con-strained by seismic data at the same time. Firstly, it obtains the geostatistical simulated results through the fast Fourier trans-form-moving average ( FFT-MA) spectrum simulation, and then optimizes the initial simulated results using the hybrid genet-ic algorithm ( HGA) proposed by this paper to obtain the inversion results that correlate with the geological structure. HGA can overcome the drawbacks of conventional genetic algorithm( GA) , such as slow convergence and"premature". It can ob-tain the optimal results quickly when combined with simulated annealing (SA). The numerical testing shows that the pre-stack stochastic inversion based on hybrid genetic algorithm can ensure the convergence of the inversion and also satisfy well data. In addition, this method has high vertical resolution compared with the conventional pre-stack inversion, and may play an important role in reservoir identification and reservoir description.关键词
混合遗传算法/叠前随机反演/分辨率/收敛性Key words
hybrid genetic algorithm/pre-stack stochastic inversion/resolution/convergence分类
天文与地球科学引用本文复制引用
印兴耀,刘婵娟,王保丽..基于混合遗传算法的叠前随机反演方法[J].中国石油大学学报（自然科学版）,2017,41(4):65-70,6.基金项目
国家自然科学基金-石油化工基金联合重点项目(U1562215) （U1562215）
国家自然科学基金项目(41204085) （41204085）
