Imaging using compressive sensing

Imaging using compressive sensing

Robert G. Clapp

Abstract:

Constructing 3-D angle gathers is quickly becoming the computational bottleneck in Reverse Time Migration (RTM). Both the expansion in volume size (120-900x) and the cost of cross-correlating wavefields greatly increase the cost of RTM. Both the storage and computational cost can be greatly reduced by reformulating the imaging process as a compressive sensing problem. Preliminary results show that this approach holds promise but finding an acceptable L-1 inversion approach is still problematic.