Global Sensitivity Analysis to Optimize Basin-Scale Conductive Model Calibration - Insights on the Upper Rhine Graben

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Denise Degen , Karen Veroy, Jessica Freymark, Magdalena Scheck-Wenderoth, Florian Wellmann 


Geothermal simulations are widely used in both scientific and applied industrial contexts. Typically, the temperature state is evaluated on the basis of the heat equation, with suitable parameterizations of the model domain and defined boundary conditions, which are calibrated to obtain a minimal misfit between measured and simulated temperature values. We demonstrate the essential need for global sensitivity studies for robust geothermal model calibrations since local studies overestimate the influence of the parameters. We ensure the feasibility of the study by using a physics-based machine learning approach, that reduces the computation time by several orders of magnitude.



Applied Mathematics, Earth Sciences, Physical Sciences and Mathematics


global sensitivity analysis, reduced basis method, sensitivity-driven model calibration, Upper Rhine Graben


Published: 2020-04-01 16:04


CC BY Attribution 4.0 International

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