True Amplitude Seismic Imaging in Presence of Noise Using Curvelets Match Filtering
H. Sanavi, P. Moghaddam and F.J. Herrmann
Event name: 81st EAGE Conference and Exhibition 2019
Session: Poster: Full Waveform Inversion B
Publication date: 03 June 2019
Info: Extended abstract, PDF ( 619.02Kb )
Price: € 20
True amplitude seismic migration in presence of noise is covered in this paper. Existence of noise has a deteriorating effect on seismic migration which could severely corrupt the seismic amplitudes and creates artifacts in the seismic image. We address this problem in this article and provide a solution. we propose a diagonal scaling approximation for inverse of normal operator using Curvelets. We exploit invariance of Curvelet under action of normal operator for this approximation. We also exploit the fact that the coefficients of Curvelets are smooth in both physical and phase space domain in context of Curvelet match filtering.