This Statoil AS funded project aims at developing reconstructions of the Earth's surface and its environment, or paleogeography. However, these reconstructions, rather than being a single view of the world, will also contain a measure of the likelihood of such a geography. Thus we aim at moving beyond the paradigm of a single geologist's or research group's model of how the world looked, but rather producing uncertainty maps for industry risk assessment of resource potential. 

 

 

High performance computing is becoming available on a laptop, but the development of industry applications hasn't always kept pace with the rapid increases in computing speed and new computing capabilities, like GPU computing. Our group develop algorithms and methods that are innovative, run efficiently and make use of the advances in computational software and hardware. Another development in scientific computing is uncertainty reduction and quantification through stochastic and inverse methods. We seek to make these methods available to the Oil & Gas Industry. The project is funded by Statoil AS.