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Rapid Geological CO2 Storage Forecast and Optimization: A Data-driven Dynamic Mode Decomposition Model Order Reduction Approach
Data driven and non-intrusive DMDc and DMDspc models successfully expedite the
reconstruction and forecasting of CO2 fluid flow with acceptable accuracy margins, aiding in …
reconstruction and forecasting of CO2 fluid flow with acceptable accuracy margins, aiding in …
Rapid Forecast and Optimization of Geological CO2 Storage in Deep Saline Aquifers: A Data-driven Dynamic Mode Decomposition Model Order Reduction Approach
D Voulanas, E Gildin - Available at SSRN 5034410 - papers.ssrn.com
Data-driven and non-intrusive DMDc and DMDspc models successfully expedite the
reconstruction and forecasting of CO2 fluid flow with acceptable accuracy margins, aiding in …
reconstruction and forecasting of CO2 fluid flow with acceptable accuracy margins, aiding in …