Abstract
Geothermal energy production from the deep subsurface requires a detailed knowledge of the relevant static and transient parameter distribution in the reservoir and host rock. In reservoir exploration, engineering and operation phases, both temporal and spatial subsurface parameters are acquired, evaluated and monitored in order to improve the reservoir performance. To support temporal and spatial data access to geothermal data sources, an efficient 3D/4D GIS is proposed in this study. We discuss theoretical and first practical approaches for the management of such temporal and spatial geothermal data. A first practical example is provided using the data acquired in the Soultz-sous-Forets geothermal project (France). A distributed software architecture, database design, and the concept for advanced query component with embedded simulations are presented. Finally, we give an outlook on the planned future research in 3D data management of subsurface, near-surface, and above-surface installations in other projects.
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Acknowledgments
The authors acknowledge the GEIE EMC for providing Soultz data and Albert Genter for fruitful discussion A part of this work was done in the framework of the Labex G-Eau-Thermie Profonde which is co-funded by the French government under the program Investissements d’Avenir. We also thank the German Research Foundation (DFG) by supporting the research work with grant BR 2128/14-3.
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Jahn, M. et al. (2017). Temporal and Spatial Database Support for Geothermal Sub-surface Applications. In: Abdul-Rahman, A. (eds) Advances in 3D Geoinformation. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-25691-7_19
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DOI: https://doi.org/10.1007/978-3-319-25691-7_19
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