New Models Simulating Aquifer Tests with No Parameter Correlation and Low Computational Cost

Well drilling for aquifer tests creates a skin zone with hydraulic properties distinct from the surrounding aquifer formation. The skin zone affects the tests and interpretations of hydraulic properties of the formation. Traditional models attempt to address this issue by incorporating a governing equation to describe flow or transport in the skin zone. However, these methods face challenges such as parameter correlation, where multiple parameter estimates produce the same agreement between measured data and model predictions, making it impossible to obtain reliable and objects parameter estimates. Additionally, numerical solutions for traditional models require fine grids to discretize skin zone and coarse grids for the formation, resulting in excessive grid numbers, and high computational costs. This study introduces new models for slug test and tracer test. Both analytical and numerical solutions of the models are developed. Results indicate the new models achieve predictions comparable to the traditional models while effectively addressing the issues of parameter correlation and the need for fine skin discretization. This study provides theoretical insights and practical applications for groundwater remediation and resource management.