A state-space Bayesian framework for estimating biogeochemical transformations using time-lapse geophysical data
Description:
We develop a state-space Bayesian framework to combine time-lapse geophysical data with other types of information for quantitative estimation of biogeochemical parameters during bioremediation. We consider characteristics of end-products of biogeochemical transformations as state vectors, which evolve under constraints of local environments through evolution equations, and consider time-lapse geophysical data as available observations, which could be linked to the state vectors through petroph…
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Date:
April 15, 2009
Creator:
Chen, J.; Hubbard, S.; Williams, K.; Pride, S.; Li, L.; Steefel, C. et al.
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