A Volume Flattening Methodology for Geostatistical Properties Estimation

In the domain of oil exploration, geostatistical methods aim at simulating petrophysical properties in a 3D grid model of reservoir. Generally, only a small amount of cells are populated with properties. Roughly speaking, the question is: which properties to give to cell c, knowing the properties of n cells at a given distance from c? Obviously, the population of the whole reservoir must be computed while respecting the spatial correlation distances of properties. Thus, computing of these correlation distances is a key feature of the geostatistical simulations.