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Overall, estimating a non-stationary prediction-error filter with
multiple scales of data appears to be successful. The method
interpolates a very heavily decimated 2D test case successfully. Results
for a 3D case are even more successful, even though the amount of data
removed from the case was greater than in the 2D case.
In the future, this method can be used on real seismic data in two,
three, or even five dimensions, so that prestack 3D data can be
interpolated in cases where surface topography, structures, or other
obstacles cause irregularly sampled data.
Next: Lomask: : REFERENCESMadagascar
Up: Prucha and Biondi: STANFORD
Previous: Test Case
Stanford Exploration Project
6/7/2002