Natural resources
- Department BAMJO, SAMBA, SAND
- Fields involved Statistical modelling, Machine learning and Artificial intelligence (AI), Image analysis and Earth observation
Our activities in natural resources include mapping the earth’s surface using satellite data, and descriptions of the subsoil based on seismic and well drilling.
Using advanced statistical methods, we combine data and geological knowledge to create realistic mathematical descriptions of the subsoil. The goal can be to find and extract hydrocarbons and minerals in an efficient way or to map the subsoil for efficient production of geothermal energy.
With statistical methods, data is combined so that we get as precise descriptions as possible. In addition, we get a clear picture of the remaining uncertainty.
We develop new mathematical, statistical and numerical methods that are included in commercial software.
Our activity in earth observation uses satellite data to describe large-scale natural resources, such as biomass in forests or amounts of snow in the mountains.