Estimation of Complex Near Surface Focusing Operators by Global Optimization

A035 Z-99 Estimation of complex near surface focusing operators by global optimization Abstract 1 Near surface anomalies can severely degrade the data quality and conventional single trace statics do not always correct for these effects sufficiently. Through a model-independent focusing operator estimation procedure based on the CFP technology the data can be redatumed to a level underneath the near surface. However the current procedure is still laborintensive as travel time errors need be picked or tracked in the involved DTS-panels. Therefore under the assumption of a low-order surface-consistent parameterization of the near surface focusing operators the method of finding the