Mathematics – Logic
Scientific paper
Oct 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3219403l&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 19, CiteID L19403
Mathematics
Logic
3
Geochemistry: Instruments And Techniques, Hydrology: Vadose Zone, Hydrology: Modeling, Atmospheric Processes: Climate Change And Variability (1616, 1635, 3309, 4215, 4513)
Scientific paper
The long-term storage of CO2 must be verified to ensure the success of geologic carbon sequestration projects. To detect subtle CO2 leakage signals, we present a strategy that integrates near-surface measurements of CO2 fluxes or concentrations with an algorithm that enhances temporally- and spatially-correlated leakage signals while suppressing random background noise. We assess the performance of this strategy using synthetic CO2 flux data sets and modeled surface CO2 leakage. These simulations provide a means of estimating the number of measurements required to detect a potential CO2 leakage signal of given magnitude and area. Results show that given a rigorous and well-planned field sampling program, subtle surface CO2 leakage may be detected using the algorithm; however, leakage of very limited spatial extent or exceedingly small magnitude may be difficult to detect with a reasonable set of monitoring resources.
Hilley George E.
Lewicki Jennifer L.
Oldenburg Curtis M.
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