- journal_title：Geophysics
- Contributor：Juefu Wang ; Mauricio D. Sacchi
- Publisher：Society of Exploration Geophysicists
- Date：2007-
- Format：text/html
- Language：en
- Identifier：10.1190/1.2387139
- journal_abbrev：Geophysics
- issn：0016-8033
- volume：72
- issue：1
- firstpage：S11
- section：SEISMIC MIGRATION
We propose a new scheme for high-resolution amplitude-variation-with-ray-parameter (AVP) imaging that uses nonquadratic regularization. We pose migration as an inverse problem and propose a cost function that uses a priori information about common-image gathers (CIGs). In particular, we introduce two regularization constraints: smoothness along the offset-ray-parameter axis and sparseness in depth. The two-step regularization yields high-resolution CIGs with robust estimates of AVP. We use an iterative reweighted least-squares conjugate gradient algorithm to minimize the cost function of the problem. We test the algorithm with synthetic data (a wedge model and the Marmousi data set) and a real data set (Erskine area, Alberta). Tests show our method helps to enhance the vertical resolution of CIGs and improves amplitude accuracy along the ray-parameter direction.