AMO inversion to a common azimuth dataset: Field data results

Abstract

I cast 3-D data regularization as a least-squares inversion problem. I form a linear operator that maps from irregular dataspace 5-D data space to a regular 4-D common azimuth volume using a cascade of linear interpolation and Azimuth Move-out (AMO) binning. I regularize the inversion by adding minimizes the difference between various (t , cmpx , cmpy… (More)

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Cite this paper

@inproceedings{ClappAMOIT, title={AMO inversion to a common azimuth dataset: Field data results}, author={Robert G. Clapp} }