Submitted as: model evaluation paper
31 May 2023
Submitted as: model evaluation paper |  | 31 May 2023
Status: this preprint is currently under review for the journal GMD.

Developing meshing workflows for Geologic Uncertainty Assessment in High-Temperature Aquifer Thermal Energy Storage

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

Abstract. Evaluating uncertainties of geological features on temperature and pressure changes in reservoir’s fluids are crucial for a safe and sustainable operation of the High-Temperature Aquifer Thermal Energy Storage (HT-ATES). This study uses a new automated surface fitting function in Python API of GMSH (v. 4.11) to model the impact of arbitrary structural barriers and variations of roof and floor geometries on temperature and pressure in heat storage application. A workflow is developed in Python to implement an automated mesh generation routine for varying geological scenarios that cannot be predicted by surface-based exploration methods. This way, the geologic models and their underlying uncertainties are transferred into reservoir simulations. We applied our modelling approach on two case studies: 1) Greater Geneva Basin with the Upper Jurassic (“Malm”) limestone reservoir of 100 m thickness and 2) the DeepStor project in the Upper Rhine Graben with an Oligocene sandstone reservoir of 10 m thickness. In the Greater Geneva Basin showcase, the upper and lower surfaces of the reservoir are shifted ± 8 and ± 10 m, respectively to perturb topology of the thick reservoir. Independence of the heat plume from reservoir's topology indicates the limited propagation of the induced thermal regime in thick reservoirs and redundancy of the advanced exploration campaigns like 3D seismic. In DeepStor, an arbitrary sub-seismic fault juxtaposing the permeable sandstone layers against low-permeable clay-marl units is introduced to the base case model. The arbitrary fault is located in distances varying 4 m to 118 m from the borehole and resulted in a ~10 % difference in the pressure field of the cases. Modelling the pressure and temperature in the tilted reservoir reveals that heat tends to accumulate updip while pressure values are higher in the downdip side.

Ali Dashti et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2023-105', Juan Antonio Añel, 19 Jun 2023 reply
    • AC1: 'Reply on CEC1', Ali Dashti, 19 Jun 2023 reply
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 20 Jun 2023 reply
        • AC2: 'Reply on CEC2', Ali Dashti, 21 Jun 2023 reply

Ali Dashti et al.

Ali Dashti et al.


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Short summary
This study developed a new meshing workflow to enable making meshes that follow geological models. This workflow also allows us to import several geological models as input for the mesh generator and later on export the same number of watertight meshes. This way, geological uncertainty can be directly included in the numerical simulations. This study evaluates the impact of the geological uncertainty on thermohydraulic performance of the reservoir for high temperature heat storage applications.