1. Scatterer_Ricker Data:
We experimented with Kirchhoff migration using a zero-offset section that has a single diffraction hyperbola generated by a point scatter. In this case, spacing between CDP locations is 25m, we displayed data with Gain set to -30 (db).
Kirchhoff Migration
We ran the migration for velocity 1500 m/s, 2250 m/s and 3000 m/s, the maximum dip was set to 80 degree. Diffraction hyperbola collapsed perfectly to a single point when migrate with 2250 m/s (Fig. \ref{345455}). From this experiment, we can see the phenomena so called " frown" and " smile". In other words, small velocity (1500 m/s) shows undermigration (Fig. \ref{311486}) and high velocity (3000 m/s) shows overmigration (Fig. \ref{610518}). With different display parameters the result can be interpreted in different ways so we tried to check the value by tools in Echos and in general the amplitude of significant part is ten times bigger, compared to side wiggles. Kirchhoff migration integrates in whole domain with accurate velocity, so side wiggles are inevitable and we should be careful.
We also tested the effect of different dip values during migration processes. For this simple test, we used the same velocity which is 2250 m/s but set the maximum dip angle to 20 degree. Compare Fig. \ref{257910} to Fig. \ref{345455}, we can see the hyperbola didn't collapse to a single point, instead it has some tail features on both side. Thus, a better image comes with migration under a higher dip value.