Stacking plays an important role in improving signal-tonoise ratio and imaging quality of seismic data. However, for low-fold-coverage seismic profiles, the result of conventional stacking is not always satisfactory. To address this problem, we have developed a method of stacking in which we use local correlation as a weight for stacking common-midpoint gathers after NMO processing or common-image-point gathers after prestack migration. Application of the method to synthetic and field data

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... d that stacking using local correlation can be more effective in suppressing random noise and artifacts than other stacking methods.