Articles | Volume 17, issue 8
https://doi.org/10.5194/gmd-17-3467-2024
https://doi.org/10.5194/gmd-17-3467-2024
Model evaluation paper
 | 
30 Apr 2024
Model evaluation paper |  | 30 Apr 2024

Developing meshing workflows in Gmsh v4.11 for the geologic uncertainty assessment of high-temperature aquifer thermal energy storage

Ali Dashti, Jens C. Grimmer, Christophe Geuzaine, Florian Bauer, and Thomas Kohl

Related authors

Stress state at faults: the influence of rock stiffness contrast, stress orientation, and ratio
Moritz O. Ziegler, Robin Seithel, Thomas Niederhuber, Oliver Heidbach, Thomas Kohl, Birgit Müller, Mojtaba Rajabi, Karsten Reiter, and Luisa Röckel
Solid Earth, 15, 1047–1063, https://doi.org/10.5194/se-15-1047-2024,https://doi.org/10.5194/se-15-1047-2024, 2024
Short summary
GeoLaB – Geothermal Laboratory in the crystalline Basement: synergies with research for a nuclear waste repository
Thomas Kohl, Ingo Sass, Olaf Kolditz, Christoph Schüth, Wolfram Rühaak, Jürgen Schamp, Judith Bremer, Bastian Rudolph, Katharina Schätzler, and Eva Schill
Saf. Nucl. Waste Disposal, 2, 135–136, https://doi.org/10.5194/sand-2-135-2023,https://doi.org/10.5194/sand-2-135-2023, 2023
Short summary
Transport mechanisms of hydrothermal convection in faulted tight sandstones
Guoqiang Yan, Benjamin Busch, Robert Egert, Morteza Esmaeilpour, Kai Stricker, and Thomas Kohl
Solid Earth, 14, 293–310, https://doi.org/10.5194/se-14-293-2023,https://doi.org/10.5194/se-14-293-2023, 2023
Short summary

Related subject area

Numerical methods
Potential-based thermodynamics with consistent conservative cascade transport for implicit large eddy simulation: PTerodaC3TILES version 1.0
John Thuburn
Geosci. Model Dev., 18, 3331–3357, https://doi.org/10.5194/gmd-18-3331-2025,https://doi.org/10.5194/gmd-18-3331-2025, 2025
Short summary
Positive matrix factorization of large real-time atmospheric mass spectrometry datasets using error-weighted randomized hierarchical alternating least squares
Benjamin C. Sapper, Sean Youn, Daven K. Henze, Manjula Canagaratna, Harald Stark, and Jose L. Jimenez
Geosci. Model Dev., 18, 2891–2919, https://doi.org/10.5194/gmd-18-2891-2025,https://doi.org/10.5194/gmd-18-2891-2025, 2025
Short summary
Numerical simulations of ocean surface waves along the Australian coast with a focus on the Great Barrier Reef
Xianghui Dong, Qingxiang Liu, Stefan Zieger, Alberto Alberello, Ali Abdolali, Jian Sun, Kejian Wu, and Alexander V. Babanin
EGUsphere, https://doi.org/10.5194/egusphere-2025-698,https://doi.org/10.5194/egusphere-2025-698, 2025
Short summary
CLAQC v1.0 – Country Level Air Quality Calculator: an empirical modeling approach
Stefania Renna, Francesco Granella, Lara Aleluia Reis, and Paulina Schulz-Antipa
Geosci. Model Dev., 18, 2373–2408, https://doi.org/10.5194/gmd-18-2373-2025,https://doi.org/10.5194/gmd-18-2373-2025, 2025
Short summary
Hydro-geomorphological modelling of leaky wooden dam efficacy from reach to catchment scale with CAESAR-Lisflood 1.9j
Joshua M. Wolstenholme, Christopher J. Skinner, David Milan, Robert E. Thomas, and Daniel R. Parsons
Geosci. Model Dev., 18, 1395–1411, https://doi.org/10.5194/gmd-18-1395-2025,https://doi.org/10.5194/gmd-18-1395-2025, 2025
Short summary

Cited articles

Agemar, T., Schellschmidt, R., and Schulz, R.: Subsurface temperature distribution in Germany, Geothermics, 44, 65–77, https://doi.org/10.1016/j.geothermics.2012.07.002, 2012. 
Baillieux, P., Schill, E., Edel, J.-B., and Mauri, G.: Localization of temperature anomalies in the Upper Rhine Graben: insights from geophysics and neotectonic activity, Int. Geol. Rev., 55, 1744–1762, https://doi.org/10.1080/00206814.2013.794914, 2013. 
Birdsell, D. T. and Saar, M. O.: Modeling Ground Surface Deformation at the Swiss HEATSTORE Underground Thermal Energy Storage Sites, in: World Geothermal Congress (WGC 2020+ 1), p. 22046, 2020. 
Blöcher, G., Regenspurg, S., Kranz, S., Lipus, M., Pei, L., Norden, B., Reinsch, T., Henninges, J., Siemon, R., Orenczuk, D., Zeilfelder, 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. 
Bloemendal, M., Olsthoorn, T., and Boons, F.: How to achieve optimal and sustainable use of the subsurface for Aquifer Thermal Energy Storage, Energ. Policy, 66, 104–114, https://doi.org/10.1016/j.enpol.2013.11.034, 2014. 
Download
Short summary
This study developed new meshing workflows to enable the automatic generation of meshes that follow geological models. The workflow allows for importing several geological models as input for Gmsh and later exporting the same number of high-quality meshes. This way, geological uncertainty is directly included in the numerical simulations. This study evaluates the impact of the geological uncertainty on thermohydraulic performance of two reservoirs for high-temperature heat storage applications.
Share