Lithologic Discrimination Method Based on Markov Random-Field
详细信息
- 责任者：Tian Yukun (State Key Laboratory of Petroleum Resources and Prospecting ; China University of Petroleum ; Beijing 102249 ; China) ; Zhou Hui
- 刊名：Chinese Journal of Geophysics
- 出版年：2013
- 卷期：56(4)
- 关键词：马尔可夫链 ; Markov chain ; 地震勘探 ; seismic exploration
- 页码：p.1360-1368
- 图表：illus., 23 refs.
- 分类号：1600
- issnNo：ISSN0001-5733
- isbnNo：CN11-2074/P
摘要
Lithologic discrimination by using parameters from seismic inversion is a basic task of seismic inversion.Because different lithologies usually have,to some extent,the similar elastic parameters,it is difficult to identify lithology.To solve this problem,lithologic discrimination method based on Markov random-field is applied.This method firstly builds a priori model through Markov random-field on the basis of elastic parameters of pre-stack inversion,and then obtains Gaussian distribution parameters of iterative computation by means of counting elastic parameters of different lithologies based on interpreted log data and creates objective function of lithologic discrimination under a Bayesian framework,and finally achieves the aim of lithologic discrimination.The priori model can establish interrelationships among adjacent points and obtain continuous lithologic sections.A wedge model and a Marmousi Ⅱ model are used to test the method.Results show that the method is feasible.Meanwhile,the influence of inversion error on lithologic discrimination accuracy is tested by adding error in this paper.