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Perspective | Open Access

Fracturing and thermal extraction optimization methods in enhanced geothermal systems

National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing 102249, P. R. China
College of Energy, Chengdu University of Technology, Chengdu 610059, P. R. China
Department of Geoscience and Engineering, Delft University of Technology, Delft 2628CN, The Netherlands
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, P. R. China
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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.

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Advances in Geo-Energy Research
Pages 136-140

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Cite this article:
Yang R, Wang Y, Song G, et al. 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

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Received: 28 July 2023
Revised: 10 August 2023
Accepted: 15 August 2023
Published: 18 August 2023
© The Author(s) 2023.

This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.