期刊
GEOPHYSICAL PROSPECTING
卷 61, 期 4, 页码 735-746出版社
WILEY-BLACKWELL
DOI: 10.1111/1365-2478.12000
关键词
Reflectivity inversion; Sparse Bayesian learning; Thin bed; Bayesian inversion
资金
- National Key Basic Research Development Program [2007CB209600]
- Program for Changjiang Scholars, Innovative Research Team (PCSIRT) in University
- China Postdoctoral Science Foundation [2012M510771]
A spectral sparse Bayesian learning reflectivity inversion method, combining spectral reflectivity inversion with sparse Bayesian learning, is presented in this paper. The method retrieves a sparse reflectivity series by sequentially adding, deleting or re-estimating hyper-parameters, without pre-setting the number of non-zero reflectivity spikes. The spikes with the largest amplitude are usually the first to be resolved. The method is tested on a series of data sets, including synthetic data, physical modelling data and field data sets. The results show that the method can identify thin beds below tuning thickness and highlight stratigraphic boundaries. Moreover, the reflectivity series, which is inverted trace-by-trace, preserves the lateral continuity of layers.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据