Design of a monitoring program in a varying marine environment
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In this thesis we develop methods for optimal design of a monitoring program for offshore geological CO2 storage. The goal is to find the layout of fixed chemical sensors at the seafloor that maximizes the probability of detecting a leakage. Numerical simulations of leakage scenarios are used as origin to predict the regions that sensors monitor. Based on leakage scenarios, this gives the detection probability. All methods are tested using test cases. The methods could be applied to other problems involving monitoring of potential pollutants into the ocean. The main results are inclusion of spatial variability in the estimated leakage footprint and an exact inversion of the resulting footprint.