Title:
Validating computational models for carbon storage Abstract:
As is common for subsurface applications, the planning and operation of geological carbon storage relies heavily on computational models. Arguably, several decades of experience from the extraction of subsurface resources support the validity of these tools, in particular during the active carbon dioxide injection and early post-injection phase. However, validation of long-term carbon storage performance, on the time-scales of hundreds of years after injection, cannot directly be justified by either existing engineering practice nor natural analogues. The FluidFlower validation and forecasting study was specifically designed to provide validation data for carbon storage. Moreover, by conducting a multi-institutional and multidisciplinary double-blind study, we were able to address the forecasting skill of the carbon storage simulation community. In this talk we give an overview of the results of the study, both from the perspective of model validation and assessment of forecasting skill. Bio:
Professor Jan Martin Nordbotten is a mathematician with a strong interest for interdisciplinary collaborations. He completed his PhD at the age of 22 as the youngest ever in Norway, and became a full professor at the age of 27. As early as in his PhD, he worked simultaneously on numerical analysis, while collaborating with environmental engineers on issues related to CO2 storage. Since then, he has established interdisciplinary collaborations in biology (theoretical evolution), ecology (water-plant dynamics), geosciences (multiphase subsurface flows, deformation), biomedicine (image processing, fluid dynamics) and computer science (image rendering). Nordbotten has co-authored papers with over 130 researchers, and was the primary author on the first text-book on modelling and simulation of CO2 storage. |
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