As mentioned earlier, blended sources processing introduces crosstalk noise, which needs to be removed from the final migration images. Simultaneous sources acquisition shares some common ground with blended sources, as it reduces the acquisition cost, but introduces crosstalk noise also. The simplest approach for reducing crosstalk noise in multisource data is to use standard migration and stacking procedures. Lynn et al. (1987) showed that coherent noise in multisource data (with several shot gathers per supergather) can effectively be suppressed by weighted stacking. Hampson et al. (2008) reported their synthetic and field data examples and showed that for 2D cases and two shot gathers per supergather, simple stacking was effective enough, but for their 3D example, they found that the shot separation technique was necessary, due to the strong reflections from the shallow water bottom. Fromyr et al. (2008) achieved similar image quality with 2-source shooting as compared to conventional acquisition in their wide azimuth experiment. With careful survey design, a suitable marine environment and a small number of multiple sources, simple stacking alone might be sufficient for quality imaging. To assist in this design process, Schuster et al. (2011) provide rigorous formulas for predicting the level of crosstalk noise as a function of the encoding parameters.