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The H2020 REFLECT project: Deliverable 4.5 – Decision support workflow for operation optimisation under fluid composition uncertainty

Authors

Gonçalves Machado,  Cíntia
REFLECT, External Organizations;
TNO;

de Zwart,  Hidde
REFLECT, External Organizations;
TNO;

Gonçalves Dias Barros,  Eduardo
REFLECT, External Organizations;
TNO;

Shoeibi Omrani,  Pejman
REFLECT, External Organizations;
TNO;

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Fulltext (public)

Reflect_deliverable_T4.5-1.pdf
(Publisher version), 981KB

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Citation

Gonçalves Machado, C., de Zwart, H., Gonçalves Dias Barros, E., Shoeibi Omrani, P. (2023): The H2020 REFLECT project: Deliverable 4.5 – Decision support workflow for operation optimisation under fluid composition uncertainty, Potsdam : GFZ German Research Centre for Geosciences, 18 p.
https://doi.org/10.48440/gfz.4.8.2023.007


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5023398
Abstract
This deliverable summarizes the optimization workflow to determine the optimum operational controls for the geothermal assets operation considering the uncertainties in the brine composition. The developed models for coupling hydrodynamics with chemistry and uncertainty quantification workflow for estimating the risk of scaling in geothermal plants were integrated with a stochastic optimization model. Results showed the demonstration of such an integrated workflow applied to a scaling precipitation case study and possible variations in operational decisions due to uncertainties in the brine composition.