Hybrid regularization methods for seismic reflectivity inversion

被引:10
|
作者
Wang Y. [1 ]
Cui Y. [2 ]
Yang C. [1 ]
机构
[1] Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029
[2] Geoscience Research Institute of Shengli Oilfield, SINOPEC
基金
中国国家自然科学基金;
关键词
Computational seismology; Image processing; Numerical approximations; Numerical solutions; Regularization;
D O I
10.1007/s13137-011-0014-1
中图分类号
学科分类号
摘要
In this paper, we consider new solution methods for seismic deconvolution problem in seismic data processing. We study regularization methods and introduce a hybrid regularization scheme for seismic deconvolution. Fast gradient descent methods are considered for solving the hybrid regularization model. An l1 minimization model based on primal-dual interior point methods is presented and used for comparison. Numerical experiments for synthetic signal simulations and field data applications are given. The results show the potentials for applications of the developed method. © 2011 Springer-Verlag.
引用
收藏
页码:87 / 112
页数:25
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