Stochastic geomodelling of karst morphology

Rayan Kanfar
 Utilization of subsurface cave reservoirs has many challenges including drilling hazards, sustainable production, groundwater contamination, and risks of leakage in the case of storage due to compromises in seal integrity. Decision-making regarding these challenges involves a significant degree of uncertainty because the subsurface geology is largely unknown. One major source of uncertainty is the spatial distribution of cave systems. Quantifying the spatial uncertainty of caves in the subsurface requires computationally efficient algorithms that produce geologically realistic cave models. The main goal of my research is to develop efficient subsurface geologic modelling approaches for realistic cave network simulation to quantify their spatial uncertainty given observations such as well logs and geophysical data.