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• W2284702987 abstract "Abstract Risk‐based monitoring requires quantification of the probability of the design to detect the potentially adverse events. A component in designing the monitoring program will be to predict the varying signal caused by an event, here detection of a gas seep through the seafloor from an unknown location. The Bergen Ocean Model (BOM) is used to simulate dispersion of CO 2 leaking from different locations in the North Sea, focusing on temporal and spatial variability of the CO 2 concentration. It is shown that the statistical footprint depends on seep location and that this will have to be accounted for in designing a network of sensors with highest probability of detecting a seep. As a consequence, heterogeneous probabilistic predictions of CO 2 footprints should be available to subsea geological CO 2 storage projects in order to meet regulations." @default.
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• W2284702987 date "2016-01-01" @default.
• W2284702987 modified "2023-10-16" @default.
• W2284702987 title "Simulating spatial and temporal varying CO ₂ signals from sources at the seafloor to help designing risk‐based monitoring programs" @default.
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• W2284702987 doi "https://doi.org/10.1002/2015jc011198" @default.
• W2284702987 hasPublicationYear "2016" @default.
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