Data acquired directly from borehole are more reliable than seismic data, and then, the first can be used to adjust the second. This work proposes the correction of a volume of seismic amplitudes through a three step algorithm. The first step is the identification of common features in both sets using a pattern recognition algorithm. The second step consists of the generation and the optimization of a mesh aligned with the features in the volumetric data using a new algorithm based on image processing and computational intelligence. The last step is the seismic-to-well registration using a point-to-point volumetric deformation achieved by a radial basis function interpolation. The dissertation also presents some results from 2D and 3D implementations allowing conclusions and suggestions for future work.