Genetic algorithms have been widely used in non-linear multi-parameter optimization problems as seismic inversion. In this paper, via inversion of synthetic models, the role of the stochastic operators of crossing, mutation and selection in pre-stack seismic inversion is studied. Additionally, it is shown that implementation of reflected binary code (Gray code) out performs usual binary code. Genetic algorithm is applied to real seismic data of Colombian Llanos Orientales Basin. Presentation Date: Wednesday, September 27, 2017 Start Time: 10:10 AM Location: Exhibit Hall C/D Presentation Type: POSTER