Articles | Volume 65
https://doi.org/10.5194/adgeo-65-37-2024
https://doi.org/10.5194/adgeo-65-37-2024
11 Nov 2024
 | 11 Nov 2024

Characterization of artesian flow and heat transition in an ATES research wellbore using DTS monitoring and numerical modelling

Liang Pei, Lioba Virchow, Guido Blöcher, Stefan Kranz, and Ali Saadat

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Cited articles

Blöcher, G., Regenspurg, S., Kranz, S., Lipus, M., Pei, L., Norden, B., Reinsch, T., Henninges, J., Siemon, R., Orenczuk, D., Zeilfelderf, S., Scheytt, T., and Saadat, A.: Best practices for characterization of high temperature-aquifer thermal energy storage (HT-ATES) potential using well tests in Berlin (Germany) as an example, Geothermics, 116, 102830, https://doi.org/10.1016/j.geothermics.2023.102830, 2024.  
Doonechaly, N. G., Reinicke, A., Hertrich, M., Plenkers, K., Obermann, A., Fischli, F., Maurer, H., Wiemer, S. and Giardini, D.: Multiphysics monitoring of cementation operation: implications for wellbore integrity and hydrogeological characterization, Environ. Earth Sci. 83, 146, https://doi.org/10.1007/s12665-024-11451-2, 2024. 
Leaf, A. T., Hart, D. J., and Bahr, J. M.: Active thermal tracer tests for improved hydrostratigraphic characterization, Ground water, 50, 726–735, https://doi.org/10.1111/j.1745-6584.2012.00913.x, 2012. 
Lipus, M. P., Reinsch, T., Tobias B. Weisenberger, T. B., Kragset, S., Stefánsson, A., and Bogason, S. G.: Monitoring of a reverse cement job in a hightemperature geothermal environment, Geotherm. Energy, 9, 5, https://doi.org/10.1186/s40517-021-00187-y, 2021. 
Liu, J. R., Han, Y. H., Jia, Q. S., Zhang, L., Liu, M., and Li, Z. G.: Oil-water flowing experiments and water cut range classification approach using distributed acoustic sensing, Spe. J., 29, 1238–1253, https://doi.org/10.2118/218389-PA, 2024. 
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Short summary
To operate aquifer thermal energy storages in a sustainable way, we located an artesian aquifer other than the aquifer storage in a research wellbore by analyzing the subsurface temperature as monitored with a fiber optic cable in three artesian flow tests. The positioning of the artesian aquifer was validated via numerical modelling. Analyses of the temperature data and numerical modelling enabled determining the profile of flow velocity, flow rate and the depth interval of inflow.