Articles | Volume 58
https://doi.org/10.5194/adgeo-58-189-2023
https://doi.org/10.5194/adgeo-58-189-2023
26 May 2023
 | 26 May 2023

Forecasting changes of the flow regime at deep geothermal wells based on high resolution sensor data and low resolution chemical analyses

Annette Dietmaier and Thomas Baumann

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Cited articles

Alley, W. M., Bair, E. S., and Wireman, M.: “Deep” Groundwater, Groundwater, 51, 653–654, https://doi.org/10.1111/gwat.12098, 2013. a
Barcelona, M., Wehrmann, H., Schock, M., Sievers, M., and Karny, J.: Sampling Frequency for groundwater Quality Monitoring, US Environmental Protection, Office of Research and Development, Environmental Monitoring Systems Laboratory, EPA/600/4-89/032, 1989. a, b, c, d, e
Baumann, T., Bartels, J., Lafogler, M., and Wenderoth, F.: Assessment of heat mining and hydrogeochemical reactions with data from a former geothermal injection well in the Malm Aquifer, Bavarian Molasse Basin, Germany, Geothermics, 66, 50–60, https://doi.org/10.1016/j.geothermics.2016.11.008, 2017. a, b
Birner, J.: Hydrogeologisches Modell des Malmaquifers im Süddeutschen Molassebecken, PhD thesis, https://refubium.fu-berlin.de/handle/fub188/1492 (last access: 12 May 2023), 2013. a
Birner, J., Mayr, C., Thomas, L., Schneider, M., Baumann, T., and Winkler, A.: Hydrochemie und Genese der tiefen Grundwässer des Malmaquifers im bayerischen Teil des süddeutschen Molassebeckens Hydrochemistry and evolution of deep groundwaters in the Malm aquifer in the bavarian part of the South German Molasse Basin, Z. Geol. Wiss., 39, http://www.zgw-online.de/en/media/291-113.pdf (last access: 12 May 2023), 2011. a, b
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Short summary
Data on geothermal properties are notoriously scarce, both on a good temporal and spatial resolution. We compared two data sets of a geothermal well in Bavaria (one had yearly analyses of a great number of ions, the other one tested the water every five minutes but only on a small number of variables) and found that yearly data systematically neglect seasonal variations taking place in the aquifer. Virtual sensors might help to combine the two data sets when the aquifer is well known.