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Modeling Deep Geothermal Reservoirs: Recent Advances and Future Perspectives

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Abstract

Modeling geothermal reservoirs is a key issue of a successful geothermal energy development. After over 40 years of study, many models have been proposed and applied to hundreds of sites worldwide. Nevertheless, with increasing computational capabilities, new efficient methods become available. The aim of this paper is to present recent progress on potential methods and seismic (post-)processing, as well as fluid and thermal flow simulations for porous and fractured subsurface systems. Commonly used procedures in industrial energy exploration and production such as forward modeling, seismic migration, and inversion methods together with continuum and discrete flow models for reservoir monitoring and management are explained, and some numerical examples are presented. The paper ends with the description of future fields of studies and points out opportunities, perspectives, and challenges.

Keywords

Geothermal Energy Multiple Interacting Continua (MINC) Enhanced Geothermal Systems (EGS) Luchko Discrete Fracture Network (DFN) 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgements

The work of the Geomathematics Group Kaiserslautern and G.E.O.S Ingenieurgesellschaft mbH, Freiberg, is supported by the “Verbundprojekt GEOFÜND: Charakterisierung und Weiterentwicklung integrativer Untersuchungsmethoden zur Quantifizierung des Fündigkeitsrisikos” (PI: W. Freeden) Federal Ministry for Economic Affairs and Energy (BMWi) Germany. M. Augustin has been supported by a fellowship of the German National Academic Foundation (Studienstiftung des deutschen Volkes). C. Gerhards has been supported by a fellowship within the Postdoc-program of the German Academic Exchange Service (DAAD). S. Eberle is thankful for the support by the Rhineland-Palatinate Center of Excellence for Climate Change Impacts. M. Ilyasov, S. Möhringer, H. Nutz, I. Ostermann, and A. Punzi thank for the support by the Rhineland-Palatinate excellence research center “Center for Mathematical and Computational Modeling (CM)2” and the University of Kaiserslautern within the scope of the project “EGMS” (PI: W. Freeden).

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Authors and Affiliations

  1. 1.CBM GmbHBexbachGermany
  2. 2.Fraunhofer ITWMKaiserslauternGermany
  3. 3.Geomathematics Group, University of KaiserslauternRhineland-PalatinateGermany
  4. 4.G.E.O.S. Ingenieurgesellschaft mbHFreibergGermany
  5. 5.Tiefe Geothermie Saar GmbHSaarbrückenGermany

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