https://sbgf.org.br/mysbgf/eventos/expanded_abstracts/IV_SimBGf/session/PROCESSAMENTO%20DE%20DADOS%20S%C3%8DSMICOS/Medidas%20de%20coer%C3%AAncia%20para%20an%C3%A1lise%20de%20velocidade%20na%20migra%C3%A7%C3%A3o%20em%20tempo.pdf

Iterative methods for migration velocity analysis depend on objetive functions to measure the flatness of reflection events in common image gathers (CIG).Time migration is a simple image method to evaluate these objetive functions.Using time migration we studied the influence of objective functions in the results of migration velocity analysis.We propose two new objective functions for migration velocity analysys: the extended diferential semblance and the product of classical semblance times the extended differential semblance.Numerical experiments using the Marmousoft data show the effectiveness of the new objective functions to estimate velocity models producing flat events in common image gathers.