Abstract

We propose a method for seismic data interpolation based on 1) the reformulation of the problem as a stable signal recovery problem and 2) the fact that seismic data is sparsely represented by curvelets. This method does not require information on the seismic velocities. Most importantly, this formulation potentially leads to an explicit recovery condition. We also propose a large-scale problem solver for the ℓ1regularization minimization involved in the recovery and successfully illustrate the performance of our algorithm on 2D synthetic and real examples.

Citations