Application User Guides > Hazard and Risk Analysis
Stress and strain changes induced by fluid injection and temperature change driven by geothermal injection user guide
TIP
Predictions of the temperature and Coulomb stress changes are made in a deep reservoir with hydro-thermal circulation and thermo-poro-elastic effects. The application is currently limited to the case of the unexploited deep geothermal reservoir homogenized at the scale of the Representative Elementary Volume. Rock properties of homogenized layers and brine properties are adjusted as inputs in order to generate temperature and Coulomb stress spatial distribution at the stationary state. The application is based on a 2D thermo-hydromechanical (THM) modeling. The equations governing THM processes are solved by a finite element approach using the Open Source Code_Aster software. The profiles of temperature-depth as well as the stress spatial distribution are obtained as output using the GMSH, gnuplot, python for their visualization.
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NOTE
REFERENCES Document Repository
CATEGORY Hazard and Risk Analysis
KEYWORDS Coulomb stress, Deep geothermal reservoir, Thermohydro-mechanical model
CITATION If you use the results or visualizations retrieved from this application in a publication, then you must cite the data source as follows:
Orlecka-Sikora, B., Lasocki, S., Kocot, J. et al. (2020) An open data infrastructure for the study of anthropogenic hazards linked to georesource exploitation., Sci Data 7, 89, doi: 10.1038/s41597-020-0429-3.
Step by Step
- After selecting a catalog in the User's workspace, click on 'ACTIONS', then 'USE IN APPLICATION' and then 'Stress and strain changes induced by fluid injection and temperature change driven by geothermal injection'
- Parameters values and options, have to be requested to be fulfilled
- After choosing all the aforementioned parameters the User may click on 'RUN' button to proceed to the calculation process. The results are soon to be available and saved by the system. As outputs, the THM model allows to obtain: (i) temperaturedepth profiles can be obtained in both format .png and .eps ; (ii) the spatial distribution of the temperatures in format .pos (visualized by gmsh) and .pdf ; (iii) the spatial distribution of the Coulomb stress in format . pos (visualized by gmsh) and .pdf.
Input Parameters
Number and width of the horizontal homogenized layers
We define the homogenized layers composing the reservoir. The first layer defined would be the shallowest one and the last the deepest one. The number and the width of the consecutive layers are parameters.
Rock properties for each horizontal layer
For each layer, are defined petrophysical properties homogenized at the scale of the Representative Elementary Volume. References values are put by default and a certain range of values is authorized for each property. The set of properties includes the: (i) porosity, (ii) permeability, (iii) thermal dilation, (iv) heat capacity, (v) thermal conductivity and (vi) density. Elastic moduli such as the Young's modulus and the Poisson's ratio are also taken into account in the THM model. To be noted, an unrealistic permeability higher than 1e-14 m² can lead to a divergence of the calculation.
Numerical parameters
The vertical spatial discretization for each layer can be parametrized. The geometrical properties such as the width (i. e. the sum of the layer lengths) and length are also free parameters. The temporal discretization of the calculation is taken as an input. Finally, the pressure and temperature are set on the surface and on the reservoir bottom as boundary conditions in the THM model. The surface is considered as a free surface. More details in the references Vallier et al. , (2018) and Vallier et al. , (2019).
More advanced parameters
The parameterization of the convergence criterion to reach the stationary state is set as an advanced level.
Results



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