Article
Thermodynamics
Manojkumar Gudala, Suresh Kumar Govindarajan, Bicheng Yan, Shuyu Sun
Summary: This study proposes an improved mathematical model to investigate the temperature variations and mechanical strain in the Puga geothermal reservoir. It is found that there are low-temperature regions within the fractures, and the number of hydraulic fractures and well patterns significantly influence the rock and fluid properties. The proposed mathematical model can effectively evaluate and predict the changes in the reservoir.
Article
Energy & Fuels
Tian Fang, Quanlin Feng, Rui Zhou, Chaobin Guo, Siqi Wang, Kun Gao
Summary: Understanding fluid flow in fractured porous media under coupled thermal-hydrological-mechanical (THM) conditions is crucial for geothermal energy extraction. This study developed a fully coupled THM model to investigate the process in fractured porous reservoirs, focusing on the importance of fracture orientation and hydraulic fracture permeability on fluid trajectories and heat extraction efficiency. Simulation results showed that hydraulic fractures govern fluid channels and thermal exchange, and interconnected natural fractures enhance water migration into the reservoir, highlighting the role of fracture connectivity in optimizing heat extraction efficiency.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Energy & Fuels
Chao Zhang, Linyou Zhang, Xiaoguang Wang, Song Rao, Yinhui Zuo, Ronghua Huang, Peng Gao, Rongcai Song, Zhuting Wang
Summary: This study investigated the impact of reservoir parameter heterogeneity on geothermal extraction assessment using data from the Zhacang geothermal field in the Guide basin. The results showed that spatial heterogeneity in permeability significantly affects reservoir performance, highlighting the importance of considering stress-dependent permeability in accurately assessing the extraction ability of a geothermal reservoir.
Article
Green & Sustainable Science & Technology
Nanzhe Wang, Haibin Chang, Xiang-Zhao Kong, Dongxiao Zhang
Summary: To maximize the economic benefits of geothermal energy production, this research proposes a closed-loop optimization framework for well control optimization of geothermal reservoirs using deep learning surrogates. The framework combines a convolutional neural network and long short-term memory recurrent network to extract spatial information and approximate sequence-to-sequence mapping. The trained model can predict production responses for cases with different permeability fields and well control sequences. The framework also incorporates production optimization and data assimilation alternately to achieve real-time well control optimization and estimate reservoir properties while considering geologic uncertainty.
Article
Geosciences, Multidisciplinary
Yifan Fan, Shikuan Zhang, Yonghui Huang, Zhonghe Pang, Hongyan Li
Summary: Recoverable geothermal resources are vital for geothermal development and utilization. This study proposes a numerical modeling method to calculate recoverable resources considering sustainability, and demonstrates its effectiveness using a geothermal reservoir as an example. The results show that well spacing has an impact on recoverable resources and the proposed method improves the recovery factor.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Energy & Fuels
Yueqiang Ma, Ying Li, Quan Gan, Sheng Zhi
Summary: Thermal energy extraction relies on fluid circulation and heat transfer between fluids and rock matrix. Conductive fracture channel provides effective conduits for fluid circulation and heat energy absorption. The vertical depth variation influences heat reservoir quality and fracture pattern due to stress state and tectonic evolution, which is important for thermal energy production and permeability evolution.
Article
Thermodynamics
Musa D. Aliyu, Thomas Finkbeiner, Hua-Peng Chen, Rosalind A. Archer
Summary: This paper presents a numerical model to investigate the influence of thermoelasticity on the thermal performance of enhanced geothermal system (EGS) reservoirs. The results demonstrate that thermoelasticity reduces the energy extraction rate and affects reservoir impedance and thermal front propagation.
Article
Green & Sustainable Science & Technology
Siyu Zhang, Zhenjiao Jiang, Shengsheng Zhang, Qixing Zhang, Guanhong Feng
Summary: The study optimized well placement in doublet well systems in the Gonghe Basin, China, considering the natural hydro-thermal flow system. Intensive well placement was found to be more effective than extensive well placement, resulting in higher outflow temperatures and lower groundwater level changes. This approach provides important insights for large-scale geothermal exploitation in other geothermal fields.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Saeed Mahmoodpour, Mrityunjay Singh, Kristian Baer, Ingo Sass
Summary: Geothermal energy has the potential to provide direct heat usage and electricity generation with a low carbon footprint. This study investigates the geothermal energy extraction potential using CO2 as a heat transfer fluid and identifies the key operating parameters for better-operating efficiency through a coupled thermo-hydromechanical mechanism.
Article
Geosciences, Multidisciplinary
H. Duwiquet, F. Magri, S. Lopez, T. Guillon, L. Arbaret, M. Bellanger, L. Guillou-Frottier
Summary: Crustal fault zones are important targets for high-temperature geothermal energy in naturally deep-fractured basement areas. Different tectonic regimes can cause pressure changes and temperature anomalies in the fault/basement system.
NATURAL RESOURCES RESEARCH
(2022)
Article
Thermodynamics
Saeed Mahmoodpour, Mrityunjay Singh, Aysegul Turan, Kristian Bar, Ingo Sass
Summary: This paper analyzes the importance of fractured reservoirs in long-term geothermal energy extraction. By studying 22 parameters, key parameters for operating geothermal reservoirs are identified. Thermal breakthrough time, mass flux, and overall energy recovery are key aspects of efficient and economical development of geothermal reservoirs.
Article
Green & Sustainable Science & Technology
Guihong Liu, Zhihong Zhao, Haoran Xu, Jinping Zhang, Xiangjun Kong, Lijuan Yuan
Summary: This study developed a robust assessment method for recoverable geothermal energy considering optimal development parameters, and demonstrated its reasonability and feasibility through a case study.
Article
Green & Sustainable Science & Technology
Chunwei Zhou, Gang Liu, Shengming Liao
Summary: Successful enhanced geothermal systems depend on fluid flow in fractured reservoir with good fissure connectivity. The study proposes a fuzzy inversion model to explore the location of the predominant flow area. The model achieves good inversion results, reduces dependence on initial guess area and property, and has good anti-interference ability.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Geosciences, Multidisciplinary
Wenzhen Yuan, Dailei Zhang, Yi Zhang, Jun Gao, Tongzhe Liu, Haizhen Zhai, Guangrong Jin, Guiling Wang, Baojian Zhang
Summary: This study investigates the impact of different reinjection-production strategies on water level and production temperature in a geothermal reservoir. The results highlight the importance of large spacing between production and reinjection wells as well as reducing openhole length for increasing production temperature and thermal power output, especially in small-scale geothermal fields.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Green & Sustainable Science & Technology
Yu Zhang, Yanjun Zhang, Ling Zhou, Zhihong Lei, Liangliang Guo, Jian Zhou
Summary: The study indicates that gel-proppant hydraulic fracturing and a two-horizontal-well system prove feasible for the granodiorite reservoir in the ZR2 well at the Zhacang geothermal field, China. These methods can optimize reservoir stimulation, reduce greenhouse gas emissions, lower the cost of electricity, and show significant development potential from an economic perspective.