Efficient interpretation of time-lapse seismic datasets requires that equivalent traces of those datasets have identical spatial coordinates. Our multidimensional regularization algorithms accurately interpolate the prestack data from their acquired midpoint locations to an identically sampled grid for each survey. Time-lapse binning ensures that the regularized datasets are created from the best repeated trace pairs of the base and monitor surveys. Acquisition geometry errors or inaccurate navigation data are compensated by spatial repositioning and offset error correction workflows. These ensure that nominally collocated traces are indeed in the same spatial locations.
Survey amplitude, timing, and phase attributes vary across each survey and are identified and compensated for using our flexible attribute decomposition algorithms or by normalized root-mean-square (NRMS) scanning. These processes are often crucial to ensuring that acquisition variability does not obscure the 4D signal.