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Data Publication
[Dataset] Numerical models for the simulation of sedimentary geothermal systems and the potential for induced seismicity
Kivi, Iman Rahimzadeh | Pujades, Estanislao | Rutqvist, Jonny | Vilarrasa, Víctor
Digital.CSIC
This dataset comprises the input files for numerical simulation of 30-years cold water reinjection through a doublet for geothermal exploitation of a hot sedimentary aquifer (HSA) and the associated risk for reactivating distant faults. Numerical models explore the effect of fault permeability on the governing thermo-hydro-mechanical (THM) processes and the geomechanical response of the system. The models are 2D plane strain including a homogeneous and isotropic HSA laterally bounded by two opposite dipping normal faults. Following this brief explanation, the dataset has two folders, each containing data for a distinct model: - “THM_k=1e-19.gid” for simulating the geothermal system with the embedded faults having low permeability k=1·10-19 m2 - and - “THM_k=1e-16.gid” for simulating the geothermal system featured with high fault permeability k=1·10-16 m2. In each folder, there is a file with the name of the folder ended as “_gen.dat” which contains the input data of the model, including material properties, initial and boundary conditions and the time intervals. There is also a file ended as “_gri.dat” that includes the information on the mesh. The file “root.dat” includes the name of the model. To run the simulation, execute the Code_Bright executable “Cb_v9_3.exe” in a folder that contains the three input files and the executable.
Keywords
Originally assigned keywords
MSL enriched keywords
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Source publisher
Digital.CSIC
DOI
10.20350/DIGITALCSIC/13999
Authors
Kivi, Iman Rahimzadeh
Pujades, Estanislao
Rutqvist, Jonny
Vilarrasa, Víctor
Contributers
DataManager
HostingInstitution
Citiation
Kivi, I. R., Pujades, E., Rutqvist, J., & Vilarrasa, V. (2021). [Dataset] Numerical models for the simulation of sedimentary geothermal systems and the potential for induced seismicity [Data set]. Digital.CSIC. https://doi.org/10.20350/DIGITALCSIC/13999