An effective method for reducing harmonic distortion in correlated vibroseis data

In this paper, a novel approach is presented to eliminate the harmonic noise in correlated and truncated vibroseis data. This technique is based on the decomposition of the ground force signal into fundamental and harmonic components by using squeeze-filter-unsqueeze (SFU) filtering method. First, we calculate an inverse-correlation operator and obtain a conceptual inverse-correlated result. Then, all the harmonics can be filtered out one by one after cross-correlating the inverse-correlated data with the corresponding harmonic components. This method has some advantages as follows: First of all, it is computationally efficient and effective. Secondly, it can process truncated and incomplete correlated vibroseis seismic data. Moreover, this method only requires the ground force signal and the current shot record for each shot. Thus, the data can be processed in parallel in order to obtain higher efficiency. Both numerical and field data examples are used to demonstrate that the performance of the proposed method is very effective.