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Irregular and sparse sampling of the wavefield in 3-D surveys generates spatial aliasing. Wavefield interpolation yields densely sampled data either operating in a suitable domain where sampling is more regular and can then be densified (e.g., in common shot domain) or by exploiting the predictability of the wavefield as parameterized by one (or more) plane events. In this paper we present an analysis of the sensitivity to velocity of the 3-D shot continuation operator (3-D SCO) for interpolation of 3-D acquisition geometries and we compare the 3-D SCO interpolation with prediction-error-filter (PEF) approach.