B030 Seismic Imaging and Processing with Curvelets F.J. Herrmann* (University of British Columbia) G. Hennenfent (EOS-UBC) & P.P. Moghaddam (EOS-UBC) SUMMARY In this paper we present a nonlinear curvelet-based sparsity-promoting formulation for three problems in seismic processing and imaging namely seismic data regularization from data with large percentages of traces missing; seismic amplitude recovery for subsalt images obtained by reverse-time migration and primary-multiple separation given an inaccurate multiple prediction. We argue why these nonlinear formulations are beneficial. EAGE 69 th Conference & Exhibition — London UK 11 - 14 June 2007 In this paper we report recent developments on the