Application of Autoregressive (AR) Extrapolation Technique to Enhance the Deconvolution of Seismic Data

Autoregressive (AR) extrapolation technique has been widely used to replace missing or corrupted samples in signal processing. In a similar fashion, it can be used to enhance quality of results from deconvolution which is main step in seismic data processing. It is well known that deconvolution is a process universally applied to seismic data to extent bandwidth of seismic data. However, lower and higher frequencies of the seismic data are missing even if it is deconvolved. In this paper I apply AR extrapolation technique to recover missing frequencies of deconvolved seismic data. This technique described is performed in spectral domain and is useful to successfully retrieve a broad-band seismic data. Synthetic and field data examples show that it increases resolution and yields a more interpretable seismic section.