Multidimensional Interpolation and Regularization for Survey Merging
Jaime A. Stein, Robert Wojslaw · 2013
The use of multidimensional regularization and Interpolation techniques have greatly improved land processing when it comes to survey merging. By allowing the utilization of these multiple data sets, acquired over a given prospect, to be seamlessly combined and imaged produces a remarkable high fidelity and well focused structural image. The image improvements come from the symbiotic interrelation of the different data sets used in the migration summation. After describing the technique several examples will be presented.