2D least-squares elastic reverse time migration of multicomponent seismic data

• DOI: 10.1190/geo2018-0720.1
• Publication Date: 2019-08-23T07:01:17Z
• Authors: Bingluo Gu; Jianguang Han; Zhiming Ren; Zhenchun Li
• Keywords: Seismic migration; Least-squares function approximation; Operator (biology); Geophysical Imaging

Elastic reverse time migration (ERTM) is a state-of-the-art imaging technique used for determining complicated subsurface structures. However, the migrated images often suffer from low spatial resolution, signal-to-noise ratio (S/N), and unbalanced amplitudes because theoretical hypothesis of ERTM cannot be satisfied in practice. Although elastic least-squares (ELSRTM) has been proposed to address issues ERTM, resulting are generally represented by parameter perturbations such as P- S-velocity perturbations, which have different physical meanings images. To produce improved images, we RTM method data isotropic media applying inversion ERTM. In method, forward operator generates multicomponent seismic wavefield decomposition, scalar extrapolation, recomposition operators. Additionally, adjoint PP PS using at point decomposition condition applied process. Compared conventional our enables us with higher more balanced amplitudes, fewer artifacts. Several synthetic field examples were validate effectiveness method.