Least Squares Wavepath Migration
Yike Liu(1), Xu Chang(1) and Hongchuan Sun(2)
(1) Institute of Geology and Geophysics, Chinese Academy of Sciences, China. (2) Geology and Geophysics Department, University of Utah, USA.
Contacts: changxu@mail.c-geos.ac.cn (Xu Chang)
Abstract
We present the theory and some numerical examples for least squares wavepath migration (LSWM). This method migrates data by applying iterative conjugate gradients to the wavepath migration operator. Like least squares Kirchhoff migration, LSWM is designed for reducing migratio artifacts, improving image resolution and energy focusing. Defferent from least squares Kirchhoff migration, LSWM is expected to be an inexpensive iterative algorithm because wavepath migration is computationally efficient. Numerical results with both synthetic and field data show that the LSWM image in image resolution, artifacts attenuation and interface continuity.
raeg2003@tansa.kumst.kyoto-u.ac.jp
Last modified: Wed Nov 20 16:36:50 2002