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Impact of Well Placement in the Fractured Geothermal Reservoirs Based on Available Discrete Fractured System

Authors

Mahmoodpour,  S.
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Singh,  M.
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Bär,  K.
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/persons/resource/sass

Sass,  Ingo
0 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Mahmoodpour, S., Singh, M., Bär, K., Sass, I. (2022): Impact of Well Placement in the Fractured Geothermal Reservoirs Based on Available Discrete Fractured System. - Geosciences, 12, 1, 19.
https://doi.org/10.3390/geosciences12010019


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014194
Abstract
Well placement in a given geological setting for a fractured geothermal reservoir is necessary for enhanced geothermal operations. High computational cost associated with the framework of fully coupled thermo-hydraulic-mechanical (THM) processes in a fractured reservoir simulation makes the well positioning a missing point in developing a field-scale investigation. To enhance the knowledge of well placement for different working fluids, we present the importance of this topic by examining different injection-production well (doublet) positions in a given fracture network using coupled THM numerical simulations. Results of this study are examined through the thermal breakthrough time, mass flux, and the energy extraction potential to assess the impact of well position in a two-dimensional reservoir framework. Almost ten times the difference between the final amount of heat extraction is observed for different well positions but with the same well spacing and geological characteristics. Furthermore, the stress field is a strong function of well position that is important concerning the possibility of high-stress development. The objective of this work is to exemplify the importance of fracture connectivity and density near the wellbores, and from the simulated cases, it is sufficient to understand this for both the working fluids. Based on the result, the production well position search in the future will be reduced to the high-density fracture area, and it will make the optimization process according to the THM mechanism computationally efficient and economical.