Prediction and optimization of productivity and lifespan in multi-well enhanced geothermal system

被引:9
作者
Sun, Yuxue [1 ]
Zhang, Xiao [1 ]
Liu, Yanshun [1 ]
Zhang, Xuhao [1 ]
Li, Xianghui [1 ]
Sun, Chuanyu [1 ]
Li, Zihan [1 ]
机构
[1] Shandong Univ, Res Ctr Geotech & Struct Engn, Jinan 250061, Peoples R China
关键词
Enhanced geothermal system; Multi-well heat-exchange; Flow-heat coupling; Seepage; HOT DRY ROCK; HEAT EXTRACTION; POWER-GENERATION; QINGHAI PROVINCE; PERFORMANCE; EGS; RESERVOIRS; ENERGY; TEMPERATURE; SIMULATION;
D O I
10.1016/j.applthermaleng.2023.121155
中图分类号
O414.1 [热力学];
学科分类号
摘要
Engineering case studies have revealed that multi-well enhanced geothermal system is efficient for large-scale geothermal energy utilization. However, current research on the productivity and lifespan of multi-well enhanced geothermal system is limited to rough estimation by thermal storage volume, without a fast and accurate prediction method. To solve this problem, the multi-well enhanced geothermal system is divided into several double-well enhanced geothermal systems. The numerical simulation and previous empirical formulas for double-well enhanced geothermal system are used to propose a new multi-well enhanced geothermal system empirical formula in this study. The proposed formula is applicated using the Rehai geothermal field in Yunnan, China by three-well model and six-well model respectively. The results show that the heat production and lifespan of the enhanced geothermal system with six wells arrangement are higher compared to the three wells arrangement. Moreover, the productivity and lifespan of enhanced geothermal system with injection pressure difference and injection temperature of 1.0 MPa and 293.16 K for thermal medium are significantly better than those of 2.5 MPa and 353.16 K, respectively. Therefore, during enhanced geothermal system construction, both productivity and investment should be considered, and the number of injection wells should be maximized. Lowtemperature thermal medium and low injection-production pressure differences should be selected for maximum heat production during the operation. This research presents a fast and accurate prediction method for predicting and evaluating the heat transfer performance of large-scale multi-well EGS which is helpful for EGS commercial use.
引用
收藏
页数:18
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