Seismic Parameter Estimation Using Markov Chain Monte Carlo Method
详细信息
- 责任者：Zhang Guangzhi (College of Geo-Resources and Information ; China University of Petroleum ; Qingdao 266555 ; China) ; Wang Danyang
- 刊名：Oil Geophysical Prospecting
- 出版年：2011
- 卷期：46(4)
- 关键词：seismic exploration ; Monte Carlo methods ; 反演问题 ; inverse problem
- 页码：p.605-609
- 图表：6 illus., 15 refs.
- 分类号：1600
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
///This paper introduces the basic theory and applications of Markov Chain Monte Carlo (MCMC) method for estimating seismic parameters. By making statistical analysis of the chains which are generated by MCMC, the estimates of unknown parameters are obtained. The application of both synthetic data and real data shows the MCMC method for elastic parameter estimation is feasibly and effective.
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