Regularization is used to improve the spatial coverage of the data in cases where irregularities exist due to edits and coverage holes from acquisition or obstructions.
Regularization is performed in common-offset cubes, utilizing multidimensional information: line, CMP, time etc. Azimuth information is preserved. Regularization is based on the work of Hindriks (2000) and is implemented as a linear inverse problem in the F-Kx-Ky domain. The unknown is a vector containing the data of the new trace locations, which will be solved from the data vector containing the original data. The regularization can be implemented in many domains, but to preserve the azimuth information, we select to implement it in the shot gather domain.