摘要
这里研究的是一种基于稀疏离散τ-p变换的地震道缺失重建方法。该方法根据叠后零偏移距剖面,在局部时窗内可以看作是一系列线性同相轴的组合,使用稀疏离散τ-p和预条件双共轭梯度算法进行地震道外推,使空间方向的缺失道得到恢复。τ-p变换由于信息不足,有限的孔径和离散等因素,导致在τ-p域的结果存在假象、不准确,而在τ-p域进行稀疏对于重建缺失的信息是非常有用和必要的。同时,还可使用迭代的预条件双共轭梯度算法进行计算。
This paper describes a method of extrapolating seismic traces based on the sparseness discrete τ-p transform. The method is based on the fact that the poststack zero-offset seismic section in a local time window is consisted of some linear events. Using the sparseness discrete τ-p transform and prediction biconjugate gradient algorithm to extrapolate makes the empty traces in the space coordinate reconstruction. The τ-p transform suffers from the typical problems of loss of resolution and aliasing that arise as a consequence of incomplete information, including limited aperture and discretization. Sparseness in the τ-p domain is a valid and useful criterion for supplying this missing information. An iterative conjugate gradient algorithm is used in all cases.
出处
《物探化探计算技术》
CAS
CSCD
2007年第1期1-6,共6页
Computing Techniques For Geophysical and Geochemical Exploration
基金
国家自然科学基金项目(49894190)
中国科学院知识创新项目(KZCX1-SW-18
KZCX1-Y01)
