1. A seismic data analysis method for predicting geological and reservoir features and structures of a subsurface using at least one three dimensional seismic data volume obtained through a geophysical exploration of the subsurface, comprising the steps of: loading the at least one seismic data volume relating to the subsurface to data storage in communication with a processor, said processor performing: unbiased sampling on at least one portion of the at least one seismic data volume to obtain at least one plurality of initial traces; computing at least one plurality of samples along the at least one plurality of initial traces, wherein each of the at least one plurality of samples is defined by a position within a three dimensional lattice; identifying at least one genotype for the at least one plurality of samples; identifying at least one plurality of fit individuals by applying the at least one genotype to the at least one three dimensional seismic data volume; creating at least one merged genotype using the at least one plurality of fit individuals in combination with the at least one plurality of samples; and identifying at least one geopopulation that defines the geological features or the reservoir features of the subsurface formation by applying the at least one merged genotype to the at least one three dimensional seismic data volume.