Elastic Impedance Bayesian Inversion for Lame Parameters Extracting
详细信息
- 责任者：Zong Zhaoyun (Geoscience and Technology College ; China University of Petroleum ; Qingdao 266555 ; China) ; Yin Xingyao
- 刊名：Oil Geophysical Prospecting
- 出版年：2011
- 卷期：46(4)
- 关键词：wave impedance ; 反演问题 ; inverse problem ; 储层预测 ; reservoir prediction
- 页码：p.598-604,609
- 图表：9 illus., 29 refs.
- 分类号：1600
- 出版序号：1276
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
This paper realizes elastic inversion and lame parameter direct extracting with modified Cauchy distribution and spike sparse inversion method based on Gray approximation and Bayes theory. This method is capable to better restore sparseness of parameters and realize the direct abstracting for lame parameters, which leads to less affection of weak signal and less error brought by accumulating calculation compared with conventional elastic impedance inversion methods. Both model experiments and real examples show that this method is stable for research of heterogeneous media such as fracture-cavernous carbonate reservoir.