Abstract
Traditional CDP stacking of seismic data suppresses noise and other dispersed or undesirable energy. However, inaccuracies in the theory and application of processing algorithms also cause some desirable primary reflection energy to be dispersed in the stack. Other disciplines, such as space and medicine, practice restoration filtering—a technique which can improve the image if the dispersive function is known. I propose that the seismic section can similarly be improved by the application of restoration functions based on such familiar concepts as dip moveout (DMO), normal moveout (NMO), and statics.
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