A Comparison Between Smart and Mean Stacking In Synthetic and Real Data

This article describes a new common-midpoint stacking method for seismic data، called “smart stacking،” which has been tested using experimental and reported data. This method is based solely on optimizing seismic amplitudes of the stacked signal by excluding harmful samples from the stack and applying more weight to the central part of the sample population. This stacking technique can have many advantages over the commonly used straight mean stacking. In addition to minimizing the effect of noise bursts، smart stacking enhances the amplitude of stacked reflections and removes frequency distortions caused by poor static correction، insufficient stretch muting، and imperfections in velocity analysis. This consequently results in a stack with higher temporal resolution and more spatial coherency than traditionally stacked seismic sections.