Predictive deconvolution filters are designed to remove as much correlated energy as possible from the input data. It is generally understood that this creates a problem when the primary geology is correlated. The root of this problem is in the objective function that is being minimized in addition to minimizing the correlated noise energy, the filter is attempting to simultaneously minimize the primary signal energy.