Volume 42 Issue 4
Jul.  2023
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Article Contents
Ma Ke, Ma Chong, Zhan Hongbin, Liu Yang. Mixing effect and skin effect on radical solute transport around an injection well[J]. Bulletin of Geological Science and Technology, 2023, 42(4): 130-137. doi: 10.19509/j.cnki.dzkq.tb20220616
Citation: Ma Ke, Ma Chong, Zhan Hongbin, Liu Yang. Mixing effect and skin effect on radical solute transport around an injection well[J]. Bulletin of Geological Science and Technology, 2023, 42(4): 130-137. doi: 10.19509/j.cnki.dzkq.tb20220616

Mixing effect and skin effect on radical solute transport around an injection well

doi: 10.19509/j.cnki.dzkq.tb20220616
  • Received Date: 02 Nov 2022
  • Accepted Date: 13 Apr 2023
  • Rev Recd Date: 13 Apr 2023
  • Objective

    The conceptual model of the single-well push test is a hot topic in groundwater hydrogeology.

    Methods

    In this study, a new mathematical model was developed for radial solute transport in an aquifer near injection wells. The heterogeneity of the aquifer was considered, and the MIM (Mobile-Immobile) convective diffusion model was used to describe the solute transport process in the aquifer. The skin effect and mixing effect are also included in this conceptual model. The semi-analytical solution was derived by using the Laplace transform and Stehfest numerical inverse transform methods. The influence of effective porosity and radial dispersion of the skin zone and the radius of the wellbore on the solute breakthrough curves (BTCs) of a fixed observation point and solute concentration distribution curves at given times were investigated.

    Results

    Results show that wellbore mixing and skin effects have significant impacts on BTCs, solute radial transport processes and the influence area. The larger the radius of the wellbore is, the more obvious the wellbore mixing effect is. For the skin zone, a larger porosity leads to a smaller velocity of solute migration. The larger the radial dispersion is, the steeper the solute concentration curve of the observation point is, indicating that the solute concentration changes at a faster rate and can reach a stable value earlier.

    Conclusion

    Compared with previous studies, this model can better describe the solute radial dispersion process near the injection wells.

     

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