Optimization Design of Multi-Factor Combination for Power Generation from an Enhanced Geothermal System by Sensitivity Analysis and Orthogonal Test at Qiabuqia Geothermal Area

In order to explore the optimal mining strategy of a fractured Enhanced Geothermal System (EGS) reservoir, we numerically investigated influence seven factors on heat production and conducted an optimization analysis multi-factor multi-level combination by orthogonal test based geological data at Qiabuqia geothermal field. Seven were considered, including five reservoir (fracture spacing, fracture permeability, permeability anisotropy, matrix conductivity) two operation (injected section length injection rate). The results show that rate have greatest performance. Different factor combinations great productivity. is needed, scheme EGS can be achieved through range analysis. degree power generation > anisotropy injected spacing conductivity. coefficient performance For stimulation, stratum with dense natural fractures should selected as target reservoir. It not advisable acidify too much widen apertures fractures. Fracture will increase pump energy consumption, but this adverse effect greatly reduced if other parameters are well matched. Matrix conductivity may used indicators in selecting project operation, long possible. plays major role all factors. Special attention paid value rate, which large. appropriate temperature determined accordance water source condition engineering requirement. If commercial (100 kg/s) obtained, network needs stimulated higher. Meanwhile, ensure both high stable, it necessary further volume