Five-dimensional (5D) Interpolation is a program that can improve a dataset by correcting inconsistencies in spatial sampling. Whether originating from acquisition limitations, merge zones or differing orientations between 3Ds, 5D Interpolation regularizes the fold distribution throughout the volume. The data is transformed from t-x to f-k space, where the Fourier coefficients are solved for inline, crossline, offset and azimuth independently, before combining and transforming back.