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

Viewed

Total article views: 748 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
616 103 29 748 53 31 33
  • HTML: 616
  • PDF: 103
  • XML: 29
  • Total: 748
  • Supplement: 53
  • BibTeX: 31
  • EndNote: 33
Views and downloads (calculated since 26 May 2023)
Cumulative views and downloads (calculated since 26 May 2023)

Viewed (geographical distribution)

Total article views: 741 (including HTML, PDF, and XML) Thereof 741 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
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.