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Analytical model for fluid flow distribution in an Enhanced Geothermal Systems (EGS)

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  • Asai, Pranay
  • Podgorney, Robert
  • McLennan, John
  • Deo, Milind
  • Moore, Joseph

Abstract

Enhanced geothermal system (EGS) is often envisioned to consist of at least two wells spaced sufficiently apart and connected by hydraulic fractures that serve as flow paths. All the flow paths must be utilized efficiently to ensure the system is operated at its highest potential. However, building an efficient and sustainable EGS is a complicated process as the fluid always chooses the path of least resistance, which can lead to uneven flow distribution. This study focuses on several critical parameters related to well designs, which can potentially allow for optimized flow distribution. An analytical model (written in Python) is developed based on Kirchhoff's law to calculate the flow distribution in any doublet EGS. Wellbore perforations, the completed wellbores and the fractures are simulated as resistance while the fluid is simulated as a current analog. The model solves the pressure at each node, analogous to voltage, using pipe flow equations and Darcy's law. Three different doublets EGS designs (parallel, anti-parallel and non-parallel) were simulated using the model, and a detailed sensitivity study was performed. Anti-parallel doublet systems perform the best in terms of better fluid distribution and at a lower frictional loss. It was also observed that the flow distribution in a doublet system can be affected by fracture permeability, perforation size and flow rate. Higher permeability fracture leads to poor fluid distribution. Smaller perforation size improves the fluid distribution, but it leads to huge frictional losses. Low flow rates also help with optimized fluid distribution but would eventually lead to low heat output.

Suggested Citation

  • Asai, Pranay & Podgorney, Robert & McLennan, John & Deo, Milind & Moore, Joseph, 2022. "Analytical model for fluid flow distribution in an Enhanced Geothermal Systems (EGS)," Renewable Energy, Elsevier, vol. 193(C), pages 821-831.
    • Handle: RePEc:eee:renene:v:193:y:2022:i:c:p:821-831
    DOI: 10.1016/j.renene.2022.05.079
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    References listed on IDEAS

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    1. Xia, Yidong & Plummer, Mitchell & Mattson, Earl & Podgorney, Robert & Ghassemi, Ahmad, 2017. "Design, modeling, and evaluation of a doublet heat extraction model in enhanced geothermal systems," Renewable Energy, Elsevier, vol. 105(C), pages 232-247.
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    3. Dejan Brkić, 2011. "Iterative Methods for Looped Network Pipeline Calculation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(12), pages 2951-2987, September.
    4. Asai, Pranay & Panja, Palash & McLennan, John & Moore, Joseph, 2018. "Performance evaluation of enhanced geothermal system (EGS): Surrogate models, sensitivity study and ranking key parameters," Renewable Energy, Elsevier, vol. 122(C), pages 184-195.
    5. Asai, Pranay & Panja, Palash & McLennan, John & Moore, Joseph, 2019. "Efficient workflow for simulation of multifractured enhanced geothermal systems (EGS)," Renewable Energy, Elsevier, vol. 131(C), pages 763-777.
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    4. Gao, Xiang & Li, Tailu & Meng, Nan & Gao, Haiyang & Li, Xuelong & Gao, Ruizhao & Wang, Zeyu & Wang, Jingyi, 2023. "Supercritical flow and heat transfer of SCO2 in geothermal reservoir under non-Darcy's law combined with power generation from hot dry rock," Renewable Energy, Elsevier, vol. 206(C), pages 428-440.

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