Fractal discrete fracture network model for the analysis of radon migration in fractured media

被引:24
|
作者
Feng, Shengyang [1 ]
Wang, Hanqing [2 ]
Cui, Yu [1 ,3 ]
Ye, Yongjun [1 ]
Liu, Yong [1 ]
Li, Xiangyang [1 ,4 ]
Wang, Hong [1 ]
Yang, Rong [1 ]
机构
[1] Univ South China, Sch Resource Environm & Safety Engn, Hengyang 421001, Hunan, Peoples R China
[2] Univ South China, Sch Civil Engn, Hengyang 421001, Peoples R China
[3] Hunan Prov Engn Technol Res Ctr Uranium Tailings, Hengyang 421001, Peoples R China
[4] Hunan Prov Engn Res Ctr Radioact Control Technol, Hengyang 421001, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Discrete fracture network; Fractal theory; Radon migration; Fractal dimension; ROCK MASSES; FLUID-FLOW; FIELD DATA; PERMEABILITY; LENGTH; TENSOR;
D O I
10.1016/j.compgeo.2020.103810
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A novel model combined with fractal theory and the discrete fracture network (DFN) model is proposed to simulate radon migration in fractured media. In the novel model, the fracture center and length distribution are determined by a first-order model, and the fracture orientations are modeled with the von Mises-Fisher distribution. The model is further developed into a computer software that can calculate the radon diffusion coefficient and exhalation rate of fractured media. An outcrop map is used to validate the ability of the model to describe complex fractures, and radon migration in natural fractures at an outcrop site is predicted using the model. Results show that the model has good reliability and robustness. Evaluation of the representative elementary volume (REV) indicates the existence of REV during the modeling of radon migration in fracture networks. Following an exponential law, REV size decreases with the increase in the length exponent.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] A discrete model for prediction of radon flux from fractured rocks
    Ajayi, K. M.
    Shahbazi, K.
    Tukkaraja, P.
    Katzenstein, K.
    [J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2018, 10 (05) : 879 - 892
  • [22] A discrete model for prediction of radon flux from fractured rocks
    K.M. Ajayi
    K. Shahbazi
    P. Tukkaraja
    K. Katzenstein
    [J]. Journal of Rock Mechanics and Geotechnical Engineering, 2018, (05) : 879 - 892
  • [23] FRACTAL MODEL OF GAS DIFFUSION IN FRACTURED POROUS MEDIA
    Zheng, Qian
    Fan, Jintu
    Li, Xiangpeng
    Wang, Shifang
    [J]. FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2018, 26 (03)
  • [24] Fractal discrete fracture network modeling of radon gas concentration in underground tunnels under Ksiaz Castle in Poland
    Fijalkowska-Lichwa, Lidia
    Ajayi, Kayode M.
    [J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2024, 83 (07)
  • [25] Numerical simulation on ferrofluid flow in fractured porous media based on discrete-fracture model
    Huang, Tao
    Yao, Jun
    Huang, Zhaoqin
    Yin, Xiaolong
    Xie, Haojun
    Zhang, Jianguang
    [J]. OPEN PHYSICS, 2017, 15 (01): : 370 - 378
  • [26] A phase field based discrete fracture model (PFDFM) for fluid flow in fractured porous media
    Zeng, Qingdong
    Liu, Wenzheng
    Yao, Jun
    Liu, Jianlin
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 191
  • [27] The enriched-embedded discrete fracture model (nEDFM) for fluid flow in fractured porous media
    Jiao, Kaituo
    Han, Dongxu
    Chen, Yujie
    Bai, Bofeng
    Yu, Bo
    Wang, Shurong
    [J]. ADVANCES IN WATER RESOURCES, 2024, 184
  • [28] Predict the mud loss in natural fractured vuggy reservoir using discrete fracture and discrete vug network model
    Wei, Shiming
    Jin, Yan
    Xia, Yang
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 195
  • [29] Estimation of Fracture Porosity of Naturally Fractured Reservoirs With No Matrix Porosity Using Fractal Discrete Fracture Networks
    Kim, Tae H.
    Schechter, David S.
    [J]. SPE RESERVOIR EVALUATION & ENGINEERING, 2009, 12 (02) : 232 - 242
  • [30] Estimation of the hydraulic properties of a fractured aquifer using numerical experiments with the discrete fracture network model
    Wei, Yaqiang
    Chen, Jian
    Li, Lu
    Zhu, Ganghui
    Wen, Yi
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2021, 66 (11): : 1685 - 1694