Wang Junchao, Li Chengyu, Li Xinxin. STUDY ON HEAT EXTRACTION PERFORMANCE OF ENHANCED GEOTHERMAL SYSTEMS (EGS) BASED ON MC-DFN SIMULATION[J]. 2025, 46(3): 91-99.
Wang Junchao, Li Chengyu, Li Xinxin. STUDY ON HEAT EXTRACTION PERFORMANCE OF ENHANCED GEOTHERMAL SYSTEMS (EGS) BASED ON MC-DFN SIMULATION[J]. 2025, 46(3): 91-99. DOI: 10.19912/j.0254-0096.tynxb.2023-1848.
STUDY ON HEAT EXTRACTION PERFORMANCE OF ENHANCED GEOTHERMAL SYSTEMS (EGS) BASED ON MC-DFN SIMULATION
This study proposes a simulation method of geothermal extraction based on the Monte Carlo-discrete fracture network (MC-DFN) model. It investigates the effects of fracture density
inclination angle
and trace lengths on heat extraction performance and analyze key influencing factors. The results reveal that excessively low or high fracture geometry parameters are detrimental to heat extraction. Optimal parameter combinations include a fracture density of 0.003 bars/m
2
two sets of fractures with inclination angles of 30° and 120°
and trace lengths ranging from 36.55 m to 43.77 m. The sensitivity of fracture geometry parameters to heat extraction follows the order: fracture length density inclination angle.
ZHANG W, QU Z Q, GUO T K, et al.Study of the enhanced geothermal system(EGS) heat mining from variably fractured hot dry rock under thermal stress[J]. Renewable energy, 2019, 143: 855-871.
HE R H, RONG G, TAN J, et al.Numerical evaluation of heat extraction performance in enhanced geothermal system considering rough-walled fractures[J]. Renewable energy, 2022, 188: 524-544.
LI X X, LI C Y, GONG W P, et al.Probabilistic analysis of heat extraction performance in enhanced geothermal system based on a DFN-based modeling scheme[J]. Energy, 2023, 263: 125674.
GONG F C, GUO T K, SUN W, et al.Evaluation of geothermal energy extraction in enhanced geothermal system(EGS) with multiple fracturing horizontal wells (MFHW)[J]. Renewable energy, 2020, 151: 1339-1351.
YAO J, ZHANG X, SUN Z X, et al.Numerical simulation of the heat extraction in 3D-EGS with thermal-hydraulic-mechanical coupling method based on discrete fractures model[J]. Geothermics, 2018, 74: 19-34.
CHEN J L, JIANG F M.Designing multi-well layout for enhanced geothermal system to better exploit hot dry rock geothermal energy[J]. Renewable energy, 2015, 74: 37-48.
CHEN S H, FENG X M, ISAM S.Numerical estimation of REV and permeability tensor for fractured rock masses by composite element method[J]. International journal for numerical and analytical methods in geomechanics, 2008, 32(12): 1459-1477.
THOVERT J F, MOURZENKO V V, ADLER P M.Percolation in three-dimensional fracture networks for arbitrary size and shape distributions[J]. Physical review E, 2017, 95(4-1): 042112.
LI X X, LI D Q, XU Y.Modeling the effects of microcracks on water permeability of concrete using 3D discrete crack network[J]. Composite structures, 2019, 210: 262-273.
MONDAL D, HAN S J, SANG S X, et al.Application of artificial neural network to evaluate coalbed methane exploration potential: a case study from permian Longtan formation, Shuicheng, Guizhou[J]. Natural resources research, 2024, 33(2): 609-636.