Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir Development
The development of a geothermal system involves changes in the temperature field (T), seepage field (H), stress field (M), and chemical field (C) and the influence among them and injecting the heat extraction working fluid into the injection well that flows (migrating) through natural fractures and...
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MDPI AG
2023-10-01
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| Online Access: | https://www.mdpi.com/1996-1073/16/21/7258 |
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| author | Yi Yang Guoqiang Fu Jingtao Zhao Lei Gu |
| author_facet | Yi Yang Guoqiang Fu Jingtao Zhao Lei Gu |
| author_sort | Yi Yang |
| collection | DOAJ |
| description | The development of a geothermal system involves changes in the temperature field (T), seepage field (H), stress field (M), and chemical field (C) and the influence among them and injecting the heat extraction working fluid into the injection well that flows (migrating) through natural fractures and exchanges heat with the geothermal high-temperature rock. At the same time, the injection of low-temperature working fluid will induce thermal stress, resulting in changes in the reservoir temperature field and stress field. To study the influence factors and influence degree of heat production performance and mining life under multi-field coupling in the process of thermal reservoir development, based on THMC multi-field coupling numerical simulation software, this paper deeply studies the control differential equations and boundary coupling conditions of rock mass (fracture) deformation, seepage, heat exchange, the chemical reaction, and other processes based on the numerical solution method of the discrete fracture network model, simulating heat production capacity during the deep geothermal resource extraction process. The reservoir geological model analysis and generalization, parameter setting, boundary conditions, initial condition settings, mesh generation, and other steps were carried out in turn. Two different heat extraction working fluids, water, and CO<sub>2</sub> were selected for numerical simulation in the mining process. The changes in the thermal reservoir temperature, net heat extraction rate, and SiO<sub>2</sub> concentration during the thirty years of systematic mining were compared. The results show that CO<sub>2</sub> has a better heat extraction effect. Finally, the reservoir thermal conductivity, heat capacity, well spacing, injection temperature, fracture spacing, fracture permeability, fracture number, fracture length, and other parameters were set, respectively. The parameter variation range was set, and the parameter sensitivity analysis was carried out. The numerical simulation results show that the engineering production conditions (injection temperature, well spacing) have little effect on the thermal efficiency and mining life, and the properties of fractures (fracture permeability, fracture number, fracture length) have a great influence. |
| first_indexed | 2024-03-11T11:30:21Z |
| format | Article |
| id | doaj.art-0d98c089009047e084e7aebcdd46f591 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T11:30:21Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0d98c089009047e084e7aebcdd46f5912023-11-10T15:01:58ZengMDPI AGEnergies1996-10732023-10-011621725810.3390/en16217258Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir DevelopmentYi Yang0Guoqiang Fu1Jingtao Zhao2Lei Gu3College of Geoscience and Survey Engineering, China University of Mining and Technology, Beijing 100083, ChinaSchool of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, ChinaCollege of Geoscience and Survey Engineering, China University of Mining and Technology, Beijing 100083, ChinaJining Energy Development Group Co., Ltd., Jinqiao Coal Mine, Jining 272000, ChinaThe development of a geothermal system involves changes in the temperature field (T), seepage field (H), stress field (M), and chemical field (C) and the influence among them and injecting the heat extraction working fluid into the injection well that flows (migrating) through natural fractures and exchanges heat with the geothermal high-temperature rock. At the same time, the injection of low-temperature working fluid will induce thermal stress, resulting in changes in the reservoir temperature field and stress field. To study the influence factors and influence degree of heat production performance and mining life under multi-field coupling in the process of thermal reservoir development, based on THMC multi-field coupling numerical simulation software, this paper deeply studies the control differential equations and boundary coupling conditions of rock mass (fracture) deformation, seepage, heat exchange, the chemical reaction, and other processes based on the numerical solution method of the discrete fracture network model, simulating heat production capacity during the deep geothermal resource extraction process. The reservoir geological model analysis and generalization, parameter setting, boundary conditions, initial condition settings, mesh generation, and other steps were carried out in turn. Two different heat extraction working fluids, water, and CO<sub>2</sub> were selected for numerical simulation in the mining process. The changes in the thermal reservoir temperature, net heat extraction rate, and SiO<sub>2</sub> concentration during the thirty years of systematic mining were compared. The results show that CO<sub>2</sub> has a better heat extraction effect. Finally, the reservoir thermal conductivity, heat capacity, well spacing, injection temperature, fracture spacing, fracture permeability, fracture number, fracture length, and other parameters were set, respectively. The parameter variation range was set, and the parameter sensitivity analysis was carried out. The numerical simulation results show that the engineering production conditions (injection temperature, well spacing) have little effect on the thermal efficiency and mining life, and the properties of fractures (fracture permeability, fracture number, fracture length) have a great influence.https://www.mdpi.com/1996-1073/16/21/7258thermal storage developmentTHMC multi-field couplingdiscrete fracture networknumerical simulationsensitivity analysis |
| spellingShingle | Yi Yang Guoqiang Fu Jingtao Zhao Lei Gu Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir Development Energies thermal storage development THMC multi-field coupling discrete fracture network numerical simulation sensitivity analysis |
| title | Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir Development |
| title_full | Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir Development |
| title_fullStr | Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir Development |
| title_full_unstemmed | Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir Development |
| title_short | Heat Production Capacity Simulation and Parameter Sensitivity Analysis in the Process of Thermal Reservoir Development |
| title_sort | heat production capacity simulation and parameter sensitivity analysis in the process of thermal reservoir development |
| topic | thermal storage development THMC multi-field coupling discrete fracture network numerical simulation sensitivity analysis |
| url | https://www.mdpi.com/1996-1073/16/21/7258 |
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