Methods for geothermal resource assessment of hot dry rock: A case study in the Gonghe Basin, China
| Autor: | Lei Fu, Dongguang Wen, Qingda Feng, Senqi Zhang, Xin Ma, Linyou Zhang, Wei Shao |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Energy Exploration & Exploitation, Vol 40 (2022) |
| Druh dokumentu: | article |
| ISSN: | 0144-5987 2048-4054 01445987 |
| DOI: | 10.1177/01445987221075847 |
| Popis: | Hot dry rock (HDR) geothermal resources are renewable energy source. Many of the findings of HDR resource evaluations have been used in energy planning and EGS design. However, to assess the amount of HDR resources in different locations, a consistent classification scheme and evaluation methods are still lacking. Considering geological credibility and economic feasibility, HDR resources are separated into three categories: vision, reserve, and exploitable. Vision and reserve are stationary resources that can be evaluated using the volume technique, and the exploitable resources can be evaluated using the numerical simulation approach. The HDR vision resource of the Gonghe Basin is evaluated to be 4.076 × 10 22 J, and the reserve resource of the Qiabuqia HDR mass is evaluated to be 2.11 × 10 20 J. At the Qiabuqia HDR development site, a discrete fracture network (DFN) model is applied for numerical simulation computations, which is based on the notion of local thermal nonequilibrium. The K1 and K2 wells produce varying amounts of heat due to the heterogeneous features of the fractured medium model, which is primarily due to differences in fracture density, heat exchange area, and fluid migration pattern. The categorization system and assessment technique can be used as a guide for evaluating HDR resources in the future. |
| Databáze: | Directory of Open Access Journals |
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