Abstract: The present invention relates to a rock classification method wherein at least one image (IMA) of the rock to be classified is acquired, and wherein a decision tree (ARB) classifying the rocks according to several descriptors is used, as well as a machine learning method (APP) from a rock image database (BIR). Machine learning is applied for each descriptor considered.

Abstract: A Method for modeling, from an initial undeformed state, the evolution of a rock basin in the course of time taking into account a) the sliding along major tectonic discontinuities with internal deformation of sediments and at the same time b) mechanical compaction due to burial of sediments by tectonic deformation or sedimentation. After first subdividing the geological objects in the basin into a number of layers or banks by limits (stratigraphic discontinuities defining banks, faults defining imbricate structures, etc.) whose geometric positions are known, the banks are defining by grids. The tectonic deformation of each modeled layer is determined separately taking its thickness and length into account as far as possible, and the grids are modified to take into account the compaction associated with the degree to which the grid elements are buried. All the intermediate geometries of the evolution process are obtained incrementally.