Articles | Volume 68
https://doi.org/10.5194/adgeo-68-1-2026
https://doi.org/10.5194/adgeo-68-1-2026
04 Nov 2026
 | 04 Nov 2026

Platypus: a Python package for automated surrogate-assisted analysis of process-based simulations via the non-intrusive reduced-basis method

Jorge Nicolas Hayek, Mauro Cacace, Marthe Faber, Yulia Gruzdeva, and Denise Degen
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Latest update: 04 Nov 2026
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Short summary
Understanding how reservoirs respond to fluid injection requires complex computer models that are too expensive to run thousands of times for statistical analysis. We developed Platypus, a flexible Python package that automates the workflow from preparing simulations to constructing fast, accurate approximations of expensive simulations. Demonstrated on synthetic and real geothermal scenarios, it makes these analyses more accessible, supporting better decision-making under uncertainty.
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