Stochastic optimization of the geological sequestration of carbon dioxide
Geological sequestration has been identified as having potential to reduce increasing atmospheric concentrations of carbon dioxide (CO₂). However, a global impact will only be achieved if this technology is implemented on a massive scale. This work presents a methodology for finding optimal operational schemes for potential sequestration sites having uncertain physical parameters. This tool uses a semi-analytical algorithm to estimate leakage rather than a calibrated numerical model enabling application to potential sites having vastly different domain characteristics. A genetic algorithm is ...
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Cody, Brent; González-Nicolás, Ana; Baù, Domenico