Evaluation of deep granitic geothermal resource potential based on discrete fracture network model： Taken as an example of the 3003.17m geothermal exploration well in Wendeng granite body in Shandong Province

[Objective] To assess deep granite type geothermal resource potential of Wendeng area in Shandong peninsula, [Methods] we established discrete fracture network model of hydraulic fracturing based on the geological data, the deep well temperature data, core physical and mechanical test results. The potential created heat reservoirs were simulated for target reservoir. According to the fracturing results, a coupled numerical model of seepage and heat transfer in fractured heat reservoir is established using TOUGH2-EOS1-MINC code. The influence of fracture spacing, well pattern and injection rate on productivity is studied. [Results] The results show that natural fractured reservoirs with stress shielding should be selected as the target reservoirs in deep geothermal exploitation. Large well spacing should be maintained, and reservoirs with overdeveloped natural fractures should not be selected. For the same heat reservoir, the variation of each performance index of five-well mode and three-well mode is similar, but their dynamic variation of productivity is different. The pressure index is more sensitive to the well pattern than the temperature index. The power generation of five-well mode is slightly higher than that of three-well mode for the same reservoir. [Conclusions] When selecting the target reservoir, the high temperature reservoir with moderate natural fractures and high stress shielding should be preferred. Meanwhile, a large amount of fracturing fluid should be injected to drive the reservoir to extend as far horizontally as possible. For the ideal large-scale heat reservoir, the fivewell mode should be preferred, but its overall economic benefits should be considered.