摘要：Seismic inversion in geophysics is an effective way to obtain underground rock properties from seismic survey data on the Earth's surface. In particular, we can obtain much more information to characterize subsurface geological structure and lithology via pre-stack seismic inversion, with offset information added to the inversion, than by post-stack seismic inversion. However, pre-stack seismic inversion is usually a nonlinear and complicated process. In this article, we adopt a L1-2-norm as a constraint on pre-stack seismic inversion, promoting the generation of a sparse solution. We also propose a novel pre-stack seismic inversion method that reduces the complexity of the solving method by utilizing an objective function decomposition scheme. Comparison of calculation time, accuracy and sparsity of the inversion solutions indicates that the proposed algorithm has better accuracy and robustness. Moreover, considering the difficulty of regularization parameter selection, we develop an adaptive parameter selection strategy based on generalized Stein unbiased risk estimation (G-SURE) and incorporate it into the solving algorithm. The adaptive approach finds an appropriate regularization parameter in each iteration and obtains the optimal solution directly, which is beneficial for improving computational efficiency. A synthetic data test verifies that the adaptive method can converge to the optimal solution iteratively in the case of arbitrary initial regularization parameters. Finally, in application to real field data, we explain why the adaptive method is the better choice even though adaptive and non-adaptive methods can obtain solutions with similar accuracy.

关键字：Pre-stack seismic inversion; L1-2-norm regularization; Sparse constraint; Proximal-DC algorithm; Adaptive parameter selection

ISSN号：0169-3298

卷、期、页：卷: 43期: 6页: 1817-1843

发表日期：2022-12-01

影响因子：6.673000

期刊分区（SCI为中科院分区）：一区

收录情况：SCI（科学引文索引印刷版）,地学领域高质量科技期刊分级目录（国外T1）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：SURVEYS IN GEOPHYSICS

通讯作者：王国权

第一作者：陈双全

论文类型：期刊论文

论文概要：王国权,陈双全，Pre-Stack Seismic Inversion With L1-2-Norm Regularization Via A Proximal DC Algorithm And Adaptive Strategy，SURVEYS IN GEOPHYSICS，2022，卷: 43期: 6页: 1817-1843

论文题目：Pre-Stack Seismic Inversion With L1-2-Norm Regularization Via A Proximal DC Algorithm And Adaptive Strategy