Seismic attenuation compensation via inversion and imaging

Abstract

In this talk, I introduce two effective approaches for seimic attenuation compensation, i.e., inversion framework with L12 minimization and Q-RTM with adaptive stabilization scheme. Compared to conventional L1 metric, our proposed L12 penalty has potential to recover exact sparse reflectivity series from noisy attenuated seismograms (kernel matrix is severely ill-conditioned). Compared to conventional low-pass filtering, our proposed stabiliza- tion scheme exhibits superior properties of time-variance and Q-dependence. I also present a CUDA-based code package named cuQ-RTM, which aims to achieve an efficient, storage-saving and stable Q-RTM.

Date
Location
Department of Geophysics, Stanford Unversity, USA