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<p>Accurate estimation of aquifer parameters, such as hydraulic conductivity, is essential for successfully designing and implementing subsurface projects. Slug tests are commonly used due to their simplicity and efficiency in parameter estimation. While extensive research has been conducted on slug tests in vertical wells, there has been limited focus on slanted wells, which present unique challenges due to their geometry. In light of the necessity for interpreting slug tests in slanted wells, a semi-analytical model was tailored for this type of slug test. The model was successfully resolved using the Laplace transform technique, and its precision was verified through comparison with a bespoke numerical solution. Subsequently, the proposed semi-analytical model was applied to the analysis of field slug test data from slanted wells, during which particle swarm optimization was applied to estimate the aquifer parameters. The results showed that the newly proposed model significantly outperformed existing analytical models for the interpretation of the field slug tests conducted in slanted wells. Overall, this study provides a contribution to the advancement of well hydraulics in the context of parameter inversion that previous slug test models in hydrogeological surveys were unable to resolve.</p>

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Development and field application of a novel slug test solution using slanted wells for parameter estimation

  • 期刊论文

  • 发表日期：

    2025年5月5日

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  • Mengxiong Cao,
  • Jianjun Hu,
  • Qi Zhu,
  • Zhang Wen,
  • Gang Chen,
  • Cheng Hu

摘要

Accurate estimation of aquifer parameters, such as hydraulic conductivity, is essential for successfully designing and implementing subsurface projects. Slug tests are commonly used due to their simplicity and efficiency in parameter estimation. While extensive research has been conducted on slug tests in vertical wells, there has been limited focus on slanted wells, which present unique challenges due to their geometry. In light of the necessity for interpreting slug tests in slanted wells, a semi-analytical model was tailored for this type of slug test. The model was successfully resolved using the Laplace transform technique, and its precision was verified through comparison with a bespoke numerical solution. Subsequently, the proposed semi-analytical model was applied to the analysis of field slug test data from slanted wells, during which particle swarm optimization was applied to estimate the aquifer parameters. The results showed that the newly proposed model significantly outperformed existing analytical models for the interpretation of the field slug tests conducted in slanted wells. Overall, this study provides a contribution to the advancement of well hydraulics in the context of parameter inversion that previous slug test models in hydrogeological surveys were unable to resolve.