Resumen:
Reverse-time migration (RTM) is a seismic migration technique widely used when geological structures in subsurface presents high dip angles and velocity models are complex. It is in this cases that RTM migration take advantage of other types of seismic imaging algorithms. However, the images generated by this method contain low-frequency high amplitude noises in function of the applied imaging condition, like the conventional cross correlation. One way to attenuate the generation of those noises is based on the wavefield decomposition of the extrapolated wavefields from source and receivers in their one-way propagation components. From the combination of those components, a proper imaging condition can be applied in a way that the produced image does not present the previously mentioned noises. This project proposes the realization of a study about these noises, as well as the implementation of a pre-stack RTM algorithm that uses the imaging condition based on wavefields decomposition. To evaluate the developed algorithms in this project, they will be applied in synthetic geologic models of different complexity.
