Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (1): 230-239.doi: 10.13278/j.cnki.jjuese.201601207

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Dispersivity Experimental Investigation Based on Fracture Network Pipe Model

Liu Bo, Wang Mingyu, Zhang Min, Li Wei   

  1. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-04-09 Online:2016-01-26 Published:2016-01-26
  • Supported by:

    Support by Environmental Public Welfare Scientific Research Projects of China (201309003),the Key National Science & Technology Resources Project (2011ZX05060-005) and National Natural Science Foundation of China (40972166)

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Abstract:

In order to investigate the effects made by different geometric parameters on solute transport in fracture networks, a fracture network pipe flow conceptual model was established based on the discrete fracture network model and preferential flow groove theory. A representative physical model was built in different pipe diameters with different methods of connection. A set of fluid flow and solute transport experiments were carried out. In order to quantitatively analyze the effects made by the different pipeline network geometric parameters on solute transport, a modeling software package CHEMFLO-2000 was used to set up an equivalent porous medium model and calculate the equivalent dispersivity. The results show that with the same connective method, no obvious difference of equivalent dispersivity is found among pipe networks in different pipe diameters, the solute transport time increases with the increasing of diameters, and the curves breakthrough smoothness is similar to each other. Moreover, the more complex the connection mode is, the bigger the equivalent dispersivity is. Furthermore, the longer the transport path is, the bigger the equivalent dispersivity is. In conclusion, this parameter of equivalent disperisivity can be used to characterize the influence of the fracture pipe network on solute transport like that in porous media. The equivalent dispersivity has a positive correlation with the number of pipelines and pipe surfaces, and grows with the increase of spatial scales correspondingly.

Key words: fracture, pipe network, physical model, solute transport, equivalent dispersivity

CLC Number: 

  • P641.69

[1] Mahmoudzadeh B, Liu L, Moreno L, et al. Solute Transport in a Single Fracture Involving an Arbitrary Length Decay Chain with Rock Matrix Comprising Different Geological Layers[J]. Journal of Contaminant Hydrology, 2014,164:59-71.

[2] Berkowitz B. Characterizing Flow and Transport in Fractured Geological Media:A Review[J]. Advances in Water Resources,2002,25(8):861-884.

[3] 束龙仓,范建辉,鲁程鹏,等. 裂隙-管道介质泉流域水文地质模拟试验[J].吉林大学学报(地球科学版),2015,45(3):908-917. Shu Longcang,Fan Jianhui,Lu Chengpeng,et al.Hydrogeological Simulation Test of Fissure-Conduit Media in Springs Watershed[J].Journal of Jilin University(Earth Science Edition),2015,45(3):908-917.

[4] 周志芳, 顾长存. 裂隙水研究进展[J]. 河海科技进展, 1994,14(1):50-55. Zhou Zhifang,Gu Changcun. Advances of Groundwater Flow in Fractures[J]. Advances in Science and Technology of Water Resources, 1994,14(1):50-55.

[5] 钱家忠, 杨立华, 李如忠, 等. 基岩裂隙系统中地下水运动物理模拟研究进展[J]. 合肥工业大学学报(自然科学版),2003,26(4):510-513. Qian Jiazhong, Yang Lihua, Li Ruzhong, et al.Advances in Laboratory Study of Groundwater Flow in Fractures System[J]. Journal of Hefei University of Technology(Natural Science), 2003,26(4):510-513.

[6] 程诚, 吴吉春, 葛锐, 等. 单裂隙介质中的溶质运移研究综述[J]. 水科学进展, 2003,14(4):502-508. Cheng Cheng, Wu Jichun, Ge Rui, et al. Review of the Research on Solute Transport in a Single Fracture[J]. Advances in Water Science, 2003,14(4):502-508.

[7] 王礼恒, 李国敏, 董艳辉. 裂隙介质水流与溶质运移数值模拟研究综述[J]. 水利水电科技进展, 2013,33(4):84-88. Wang Liheng,Li Guomin,Dong Yanhui. Review of Numerical Simulation of Flow and Solute Transport in Fractured Media[J]. Advances in Science and Technology of Water Resources, 2013,33(4):84-88.

[8] 王海龙. 基岩裂隙水渗流数值模拟研究综述[J]. 世界核地质科学, 2012,29(2):85-91. Wang Hailong.Review on the Numerical Simulation of Seepage of Bedrock Fissure Water[J]. World Nuclear Geoscience, 2012,29(2):85-91.

[9] 刘华梅, 王明玉. 三维裂隙网络渗流路径识别算法及其优化[J]. 中国科学院研究生院学报, 2010, 27(4):463-470. Liu Huamei,Wang Mingyu. Algorithms and Their Optimization for Identification of the Connected Flow Paths for 3D Fracture Networks in Fractured Rocks[J]. Journal of the Graduate School of the Chinese Academy of Sciences,2010,27(4):463-470.

[10] 黄勇. 多尺度裂隙介质中的水流和溶质运移随机模拟研究[D].南京:河海大学, 2005. Huang Yong. Stochastic Simulation Study of Flow and Solute Transport in Multi-Scales Fractured Media[D].Nanjing:Hohai University,2005.

[11] Long J C. Investigation of Equivalent Porous Medium Permeability in Networks of Discontinuous Fractures[M]. California:Lawrence Berkeley Lab, 1983.

[12] Long J, Remer J, Wilson C, et al. Porous Media Equivalents for Networks of Discontinuous Fractures[J]. Water Resour Res, 1982,18:645-658.

[13] Long J, Gilmour P, Witherspoon P A. A Model for Steady Fluid Flow in Random Three-Dimensional Networks of Disc-Shaped Fractures[J]. Water Resour Res, 1985,21:1105-1115.

[14] 万力, 李定方,李吉庆. 三维裂隙网络的多边形单元渗流模型[J]. 水利水运科学研究, 1993(4):347-353. Wan Li, Li Dingfang, Li Jiqing. A Fluid-Flow Model for Three-Dimensional Network of Polygonal Fractures[J]. Hydro-Science and Engineering, 1993(4):347-353.

[15] Dershowitz W S, Fidelibus C. Derivation of Equivalent Pipe Network Analogues for Three-Dimensional Discrete Fracture Networks by the Boundary Element Method[J]. Water Resour Res, 1999,35:2685-2691.

[16] Dverstorp B, Andersson J, Nordqvist W. Discrete Fracture Network Interpretation of Field Tracer Migration in Sparsely Fractured Rock[J]. Water Resour Res, 1992,28:2327-2343.

[17] Tsang Y W, Tsang C F. Channel Model of Flow Through Fractured Media[J]. Water Resour Res, 1987,23:467-479.

[18] Tsang Y W, Tsang C F, Neretnieks I,et al. Flow and Tracer Transport in Fractured Media:A Variable Aperture Channel Model and Its Properties[J]. Water Resour Res, 1988,24:2049-2060.

[19] Tsang C F, Tsang Y W, Hale F V. Tracer Transport in Fracutres-Analysis of Field Data Based on a Variable-Aperture Channel Model[J]. Water Resour Res, 1991,27:3095-3106.

[20] Wang M, Kulatilake P, Um J, et al. Estimation of REV Size and Three-Dimensional Hydraulic Conductivity[J]. International Journal of Rock Mechanics & Mining Sciences, 2002,39:887-904.

[21] 王恩志, 孙役, 黄远智, 等. 三维离散裂隙网络渗流模型与实验模拟[J]. 水利学报, 2002(5):37-40. Wang Enzhi, Sun Yi, Huang Yuanzhi,et al.3-D Seepage Flow Model for Discrete Fracture Network and Verification Experiment[J]. Journal of Hydraulic Engineering, 2002(5):37-40.

[22] Xu Z, Ma G, Li S. A Graph-Theoretic Pipe Network Method for Water Flow Simulation in a Porous Medium:GPNM[J]. International Journal of Heat and Fluid Flow, 2014,45:81-97.

[23] Li S, Xu Z, Ma G. A Graph-Theoretic Pipe Network Method for Water Flow Simulation in Discrete Fracture Networks:GPNM[J]. Tunn Undergr Space Technol, 2014,42:247-263.

[24] 腾强, 王明玉, 王慧芳. 裂隙管道网络物理模型水流与溶质运移模拟试验[J]. 中国科学院研究生院学报,2014,31(1):54-60. Teng Qiang,Wang Mingyu,Wang Huifang. Experiments on Fluid Flow and Solute Transport in the Fracture Network Pipe Model[J]. Journal of University of Chinese Academy of Sciences,2014,31(1):54-60.

[25] Huang Y, Tang Y, Zhou Z, et al. Experimental Investigation of Contaminant Migration in Filled Fracture[J]. Environ Earth Sci, 2014,71:1205-1211.

[26] Tsang C F. Modeling Groundwater Flow and Mass Transport in Heterogeneous Media:Issues and Challenges[J]. Earth Sciences:Journal of China University of Geosciences, 2000, 25(5):443-450.

[27] Cacas M C, Ledoux E, Marsily G, et al. Modeling Fracture Flow with a Stochastic Discrete Fracture Network:Calibration and Validation:1:The Flow Model[J]. Water Resour Res, 1990,26:479-489.

[28] 王洪涛. 多孔介质污染物迁移动力学[M]. 北京:高等教育出版社, 2008:47. Wang Hongtao.Dynamics of Fluid Flow and Conta-minant Transport in Porous Media[M].Beijing:China Higher Education Press,2008:47.
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