Seismic Trace Interpolation using Adaptive Prediction Filters

A new seismic trace interpolation method based on adaptive prediction filters (PF) is introduced. In order to estimate local PFs, the contribution of adjacent windows of data to the process of local PF estimation is reduced via the introduction of a forgetting factor. Using a Recursive Least Square (RLS) algorithm, the problem of estimating PFs for each window of data is avoided and the local PF for a current data window is updated from available local PFs computed from adjacent windows. Finally, local PFs computed at low frequencies are used to interpolate data at high frequencies using Spitz reconstruction algorithm (1991). We provide synthetic and real data examples to examine the performance of the proposed adaptive PF interpolation algorithm.