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The fault plane as the main fluid pathway: Geothermal field development options under subsurface and operational uncertainty

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  • Daniilidis, Alexandros
  • Saeid, Sanaz
  • Doonechaly, Nima Gholizadeh

Abstract

Geothermal energy is gaining momentum as a renewable energy source. Reservoir simulation studies are often used to understand the underlying physics interactions and support decision making. Uncertainty related to geothermal systems can be substantial for subsurface and operational parameters and their interaction with regards to the output in terms of lifetime, energy and economic output. Specifically, for geothermal systems with the fault acting as the main fluid pathway the relevant field development uncertainties have not been comprehensively addressed. In this study we show how the produced energy, system lifetime and NPV are affected considering a range of subsurface and operational parameters as uncertainty sources utilizing an ensemble of 16,200 3D Hydraulic-Thermal (HT) reservoir simulations, conceptually based on the Rittershoffen field. A well configuration with oblique angles with respect to the main permeability anisotropy axes results in higher system lifetime, generated energy and NPV. A well spacing of 600 m consistently yields a higher economic efficiency (€/MWh) under all uncertainty parameters considered. More robust development options could be utilized in the absence of fault permeability characterization to ensure improved output prediction under uncertainty. Studies based on the methodology presented can improve investment efficiency for field development under subsurface and operational uncertainty.

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  • Daniilidis, Alexandros & Saeid, Sanaz & Doonechaly, Nima Gholizadeh, 2021. "The fault plane as the main fluid pathway: Geothermal field development options under subsurface and operational uncertainty," Renewable Energy, Elsevier, vol. 171(C), pages 927-946.
  • Handle: RePEc:eee:renene:v:171:y:2021:i:c:p:927-946
    DOI: 10.1016/j.renene.2021.02.148
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    1. Adams, Benjamin M. & Kuehn, Thomas H. & Bielicki, Jeffrey M. & Randolph, Jimmy B. & Saar, Martin O., 2014. "On the importance of the thermosiphon effect in CPG (CO2 plume geothermal) power systems," Energy, Elsevier, vol. 69(C), pages 409-418.
    2. Luo, Feng & Xu, Rui-Na & Jiang, Pei-Xue, 2014. "Numerical investigation of fluid flow and heat transfer in a doublet enhanced geothermal system with CO2 as the working fluid (CO2–EGS)," Energy, Elsevier, vol. 64(C), pages 307-322.
    3. Pollack, Ahinoam & Mukerji, Tapan, 2019. "Accounting for subsurface uncertainty in enhanced geothermal systems to make more robust techno-economic decisions," Applied Energy, Elsevier, vol. 254(C).
    4. Daniilidis, Alexandros & Alpsoy, Betül & Herber, Rien, 2017. "Impact of technical and economic uncertainties on the economic performance of a deep geothermal heat system," Renewable Energy, Elsevier, vol. 114(PB), pages 805-816.
    5. Saeid, Sanaz & Al-Khoury, Rafid & Nick, Hamidreza M. & Barends, Frans, 2014. "Experimental–numerical study of heat flow in deep low-enthalpy geothermal conditions," Renewable Energy, Elsevier, vol. 62(C), pages 716-730.
    6. Hofmann, Hannes & Babadagli, Tayfun & Zimmermann, Günter, 2014. "Hot water generation for oil sands processing from enhanced geothermal systems: Process simulation for different hydraulic fracturing scenarios," Applied Energy, Elsevier, vol. 113(C), pages 524-547.
    7. Guo, Tiankui & Tang, Songjun & Sun, Jiang & Gong, Facheng & Liu, Xiaoqiang & Qu, Zhanqing & Zhang, Wei, 2020. "A coupled thermal-hydraulic-mechanical modeling and evaluation of geothermal extraction in the enhanced geothermal system based on analytic hierarchy process and fuzzy comprehensive evaluation," Applied Energy, Elsevier, vol. 258(C).
    8. Kaniyal, Ashok A. & Nathan, Graham J. & Pincus, Jonathan J., 2012. "The potential role of data-centres in enabling investment in geothermal energy," Applied Energy, Elsevier, vol. 98(C), pages 458-466.
    9. Babaei, Masoud & Nick, Hamidreza M., 2019. "Performance of low-enthalpy geothermal systems: Interplay of spatially correlated heterogeneity and well-doublet spacings," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. Saeid, Sanaz & Al-Khoury, Rafid & Nick, Hamidreza M. & Hicks, Michael A., 2015. "A prototype design model for deep low-enthalpy hydrothermal systems," Renewable Energy, Elsevier, vol. 77(C), pages 408-422.
    11. Olasolo, P. & Juárez, M.C. & Morales, M.P. & D´Amico, Sebastiano & Liarte, I.A., 2016. "Enhanced geothermal systems (EGS): A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 133-144.
    12. Mignan, A. & Karvounis, D. & Broccardo, M. & Wiemer, S. & Giardini, D., 2019. "Including seismic risk mitigation measures into the Levelized Cost Of Electricity in enhanced geothermal systems for optimal siting," Applied Energy, Elsevier, vol. 238(C), pages 831-850.
    13. Li, Sanbai & Feng, Xia-Ting & Zhang, Dongxiao & Tang, Huiying, 2019. "Coupled thermo-hydro-mechanical analysis of stimulation and production for fractured geothermal reservoirs," Applied Energy, Elsevier, vol. 247(C), pages 40-59.
    14. Anderson, Austin & Rezaie, Behnaz, 2019. "Geothermal technology: Trends and potential role in a sustainable future," Applied Energy, Elsevier, vol. 248(C), pages 18-34.
    15. Procesi, M. & Cantucci, B. & Buttinelli, M. & Armezzani, G. & Quattrocchi, F. & Boschi, E., 2013. "Strategic use of the underground in an energy mix plan: Synergies among CO2, CH4 geological storage and geothermal energy. Latium Region case study (Central Italy)," Applied Energy, Elsevier, vol. 110(C), pages 104-131.
    16. Wang, Yang & Voskov, Denis & Khait, Mark & Bruhn, David, 2020. "An efficient numerical simulator for geothermal simulation: A benchmark study," Applied Energy, Elsevier, vol. 264(C).
    17. Moore, Kayla R. & Holländer, Hartmut M., 2020. "Feasibility of low-temperature geothermal systems: Considerations of thermal anomalies, geochemistry, and local assets," Applied Energy, Elsevier, vol. 275(C).
    18. Daniilidis, Alexandros & Herber, Rien, 2017. "Salt intrusions providing a new geothermal exploration target for higher energy recovery at shallower depths," Energy, Elsevier, vol. 118(C), pages 658-670.
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    1. Wang, Yang & Voskov, Denis & Khait, Mark & Saeid, Sanaz & Bruhn, David, 2021. "Influential factors on the development of a low-enthalpy geothermal reservoir: A sensitivity study of a realistic field," Renewable Energy, Elsevier, vol. 179(C), pages 641-651.
    2. Xu, Fuqiang & Song, Xianzhi & Song, Guofeng & Ji, Jiayan & Song, Zihao & Shi, Yu & Lv, Zehao, 2023. "Numerical studies on heat extraction evaluation and multi-objective optimization of abandoned oil well patterns in intermittent operation mode," Energy, Elsevier, vol. 269(C).

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