Relative Acoustic Impedance Inversion Based on Cauchy Sparseness Constraint Bayesian Estimation
详细信息
- 责任者：Di Haibin (Institute of Geophysics ; China Earthquake Administration ; Beijing 100081 ; China) ; Guo Yuqian
- 刊名：Geophysical Prospecting for Petroleum
- 出版年：2011
- 卷期：50(2)
- 关键词：共轭梯度法 ; conjugate gradient methods ; 波阻抗 ; wave impedance
- 页码：p.124-128
- 图表：2 illus., 19 refs.
- 分类号：1600
- issnNo：ISSN1000-1441
- isbnNo：CN32-1284/TE
摘要
Based on Cauchy sparseness constraint Bayesian estimation, an inversion algorithm for seismic relative acoustic impedance was proposed. The results indicate that, relative acoustic impedance inversion based on Cauchy sparseness constraint Bayesian estimation is feasible. Compared to direct sparseness inversion algorithm, pre-condition conjugate gradient sparseness inversion algorithm is stable, with higher accuracy and faster converging speed.