Abstract: A practical and fast approach is presented to update the migration velocity model for improved imaging. It is achieved by analyzing multiple migration sections in the control lines by scanning the migration velocity from 80% to 120% of the best available velocity model. The different percentages of the velocity model produce reasonable or unreasonable imaging sections with varying degrees of clarity. The correct migration velocity can be estimated by integrating the right percentage of the velocity model, which produces the greatest improvement. Applying this approach to real data shows that the estimated migration velocity reliably converges to the correct velocity. The consumed CPU time of the multiple migration is not too much, because multiple travel-time calculations for the different percentages of the velocity model are unnecessary.