Geostatistics - Geological modeling

Underground reservoir modeling in essential for many applications: aquifer management, underground compound or energy storage, mineral and energy resource recovery (e.g., geothermal energy). Modeling makes it possible to optimize resource management while minimizing societal and environmental risks. However, in order to be efficient, this modeling must be multiscale, and IFPEN’s research teams are therefore guided by this requirement.

Peatlands only occupy 3% of the earth’s surface but contain more than 25% of the organic carbon stored in the surface layers of the subsoil. Plant matter accumulates slowly there and undergoes a slow decomposition process under the effect of a water-saturated, oxygen-poor environment. Therefore the peat can still decompose and is particularly vulnerable to environmental changes...

Just like carbon dioxide (CO2), but with a much higher GWPa, methane CH4) is a gas which, according to the IEAb, is responsible for around 30% of the increase in global temperatures since the industrial revolution...

Coastal sedimentary basins evolve under the effect of interactions between, on the one hand, hydroclimatic processes taking place in catchment areas, and on the other hand coastal marine processes that remodel the coastline. The evolution of these environments is naturally controlled by the climate, over different time periods (ranging from tens of years to thousands of years), through variations in sedimentary flows and erosion...

To address the challenges of the energy transition, the subsurface has an important role to play, both in terms of providing resources and offering storage solutions. (...) Numerical models can help gain a better understanding of the subsurface with a view to its long-term management and optimal use. Developed for a number of years now at IFPEN, initially for the petroleum industry, such models cover scales ranging from the sedimentary basin to the reservoir...

Carbonate reservoirs present significant heterogeneities (in terms of types and scales) associated with the biological origin of sediments c, as well as the diagenetic transformations that took place