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Femke is keen to use data assimilation as a tool to better understand subsurface processes and their consequences at the surface through combination of surface data with coupled dynamic-mechanical simulators of the subsurface. Applications include, but are not limited to, the use of gravimetry and satellite observations, for instance GPS and InSAR, for surface movements related to subsurface processes such as water production, geothermal energy, hydrocarbon production, gas injection and storage, and resource mining.
Particle filtering, a Monte Carlo-based data assimilation methodology, has Femke’s particular interest. She is developing filters for the combination of data types with varying spatial and temporal resolution and information content (e.g., seismic, well data, electro-magnetic data). Another area of active research is the joint estimation of state and parameters using data assimilation, particularly in coupled systems.
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CoRR (2024)
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GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDSno. 1 (2024): 121-137
Samantha S. R. Kim,Femke C. Vossepoel
Computational Geosciencesno. 1 (2024): 91-106
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GEOPHYSICAL JOURNAL INTERNATIONALno. 3 (2023): 1701-1721
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