Heterogeneities in the subsurface result from a succession of sedimentological, diagenetic and mechanical processes. Classical geostatistical techniques tend to ignore these concepts and are generally implemented on a fixed-geometry grid whose resolution has to be decided a priori. The goal of this research is to describe and simulate sedimentary and diagenetic objects consistently with observations and genetic or pseudo-genetic geological concepts. This translates into innovative ways of combining points, lines, surfaces and volumetric grids to allow for flexible representations of geological objects at multiple resolutions.

The resulting models aim at capturing spatial structures and the most relevant hydrodynamic and geomechanical heterogeneities. They can either be used directly or as training images for multiple-point geostatistical simulations.

We are also working at producing a workflow of modelling of channelized systems which would propose the integration of conditioning data and geologic processes. The aim is to propose a model reproducing the complexity and connectivity of the geological bodies for a better precision of flow simulation.