Rank‐reduction‐based trace interpolation
Authors:
- 1 January 2010
- conference paper
- Published by Society of Exploration Geophysicists
- Vol. 1, 3829-3833
Abstract
In previous papers we described a family of multidimensional filters to suppress random noise based on matrix‐rank reduction of constant‐frequency slices. Here we extend these filters to perform multidimensional trace interpolation. This requires rank reduction when some, perhaps most, of the matrix elements are unknown, a procedure called matrix completion or matrix imputation. We show how this new interpolator improves the spatial resolution of 3D data when applied prior to prestack migration. We also discuss how such interpolators might drive acquisition design.Keywords
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