Fracturing and thermal extraction optimization methods in enhanced geothermal systems

Authors

  • Ruiyue Yang National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing 102249, P. R. China
  • Yanyong Wang* College of Energy, Chengdu University of Technology, Chengdu 610059, P. R. China(Email:wangyanyong@cdut.edu.cn)
  • Guofeng Song Department of Geoscience and Engineering, Delft University of Technology, Delft 2628CN, The Netherlands
  • Yu Shi Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, P. R. China

Keywords:

Enhanced geothermal systems, liquid nitrogen fracturing, multi-field coupling, multi-objective optimization, deep-learning-based proxy model

Abstract

Fracture networks, fluid flow and heat extraction within fractures constitute pivotal aspects of enhanced geothermal system advancement. Conventional hydraulic fracturing in dry hot rock reservoirs typically requires high breakdown pressure and only produces a single major fracture morphology. Thus, it is imperative to explore better fracturing methods and consider more reasonable coupling mechanisms to improve the prediction efficiency. Cyclic fracturing using liquid nitrogen instead of water can generate more complex fracture networks and improve the fracturing performance. The simulation of fluid flow and heat transfer processes in the fracture network is crucial for an enhanced geothermal system, which requires a more comprehensive coupled thermo-hydro-mechanical-chemical model for matching, especially the characterization of coupling mechanism between the chemical and mechanical field. Based on the results of field engineering, laboratory experiments and numerical simulation, the optimum engineering scheme can be obtained by a multi-objective optimization and decision-making method. Furthermore, combining it with the deep-learning-based proxy model to achieve dynamic optimization with time is a meaningful future research direction.

Document Type: Perspective

Cited as: Yang, R., Wang, Y., Song, G., Shi, Y. Fracturing and thermal extraction optimization methods in enhanced geothermal systems. Advances in Geo-Energy Research, 2023, 9(2): 136-140. https://doi.org/10.46690/ager.2023.08.07

References

Cha, M., Alqahtani, N. B., Yao, B., et al. Cryogenic fracturing of wellbores under true triaxial-confining stresses: Experimental investigation. SPE Journal, 2018, 23(4): 1271-1289.

Hofmann, H., Zimmermann, G., Zang, A., et al. Cyclic soft stimulation (CSS): A new fluid injection protocol and traffic light system to mitigate seismic risks of hydraulic stimulation treatments. Geothermal Energy, 2018, 6(1): 1-33.

Hong, C., Yang, R., Huang, Z., et al. Enhance liquid nitrogen fracturing performance on hot dry rock by cyclic injection. Petroleum Science, 2023, 20(2): 951-972.

Lei, Z., Zhang, Y., Yu, Z., et al. Exploratory research into the enhanced geothermal system power generation project: The Qiabuqia geothermal field, Northwest China. Renewable Energy, 2019, 139: 52-70.

McClure, M. W., Horne, R. N. An investigation of stimulation mechanisms in enhanced geothermal systems. International Journal of Rock Mechanics and Mining Sciences, 2014, 72: 242-260.

Samin, M. Y., Faramarzi, A., Jefferson, I., et al. A hybrid optimisation approach to improve long-term performance of enhanced geothermal system (EGS) reservoirs. Renewable Energy, 2019, 134: 379-389.

Shi, Y., Song, X., Shen, Z., et al. Numerical investigation on heat extraction performance of a CO2 enhanced geothermal system with multilateral wells. Energy, 2018, 163: 38-51.

Shi, Y., Song, X., Wang, G., et al. Numerical study on heat extraction performance of a multilateral-well enhanced geothermal system considering complex hydraulic and natural fractures. Renewable Energy, 2019, 141: 950-963.

Slatlem Vik, H., Salimzadeh, S., Nick, H. M. Heat recovery from multiple-fracture enhanced geothermal systems: The effect of thermoelastic fracture interactions. Renewable Energy, 2018, 121: 606-622.

Song, G., Song, X., Li, G., et al. Multiobjective optimization of geothermal extraction from the enhanced geothermal system in Qiabuqia geothermal field, Gonghe Basin. Acta Geologica Sinica English Edition, 2021, 95(6):1844-1856.

Song, G., Song, X., Xu, F., et al. Contributions of thermos-poroelastic and chemical effects to the production of enhanced geothermal system based on thermo-hydromechanical-chemical modeling. Journal of Cleaner Production, 2022, 377: 134471.

Wang, Y., Wang, X., Xu, H., et al. Numerical investigation of the influences of geological controlling factors on heat extraction from hydrothermal reservoirs by CO2 recycling. Energy, 2022, 252: 124026.

Yang, R., Hong, C., Liu, W., et al. Non-contaminating cryogenic fluid access to high-temperature resources: Liquid nitrogen fracturing in a lab-scale enhanced geothermal system. Renewable Energy, 2021, 165: 125-138.

Yang, R., Hong, C., Wen, H., et al. Cyclic liquid nitrogen fracturing performance on coal with various coal ranks: Laboratory investigation and mechanism analysis. SPE Journal, 2023, 28(4): 1706-1728.

Zhong, Z., Sun, A., Ren, B., et al. A deep-learning-based approach for reservoir production forecast under uncertainty. SPE Journal, 2021, 26(3): 1314-1340.

Zhong, Z., Sun, A., Wang, Y., et al. Predicting field production rates for waterflooding using a machine learning-based proxy model. Journal of Petroleum Science and Engineering, 2020, 194: 107574.

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Published

2023-08-18

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