TESTING THE OPTIMIZATION-BASED RECURSIVE FILTERING ALGORITHM TO SUPPRESS HARMONICS ON MODEL AND FIELD CORRELOGRAMS

Abstract

The performance of the algorithm for removing harmonic noise distortions of the vibroseis wavelet on the synthetic and the field data is studied. At the first stage, the noise is predicted. At the second stage, its adaptive subtraction from the original correlograms is performed. The algorithm demonstrates good performance, most clearly its advantages are manifested in slip-sweep data processing.