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

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