Gaussian beam migration for sparse common-shot and common-receiver data

We investigate the Gaussian beam migration of commonshot and common-receiver data. The imaging of commonshot data is useful for seismic data where the receiver coordinates are well sampled, but the source coordinates are less well sampled. By reciprocity, this approach can also be applied to common-receiver data, such as from OBS experiments where the source locations are dense but the receiver locations are sparse. Since Gaussian beam migration uses smoothed, localized windowing of the data, it can provide more stable results for the inversion of sparsely sampled data.