The article presents a mathematical model of hydrolithospheric processes, considering the skin effect, and a methodology for using groundwater inflow test results to determine the parameters of approximating models. It addresses the challenges of modeling hydrodynamic processes with random factors and develops a statistical analysis of well monitoring data. The study also develops an algorithm for analyzing processes and a procedure for selecting the optimal number of production wells based on groundwater inflow test results. The research aims to enhance the economic efficiency of mineral water extraction while minimizing environmental risks. The model is validated through field experiments, and the results show that the optimal number of production wells is six, which maximizes profit over ten years of operation. The study concludes by discussing the importance of controlling the number of wells to maintain high profitability and environmental safety.The article presents a mathematical model of hydrolithospheric processes, considering the skin effect, and a methodology for using groundwater inflow test results to determine the parameters of approximating models. It addresses the challenges of modeling hydrodynamic processes with random factors and develops a statistical analysis of well monitoring data. The study also develops an algorithm for analyzing processes and a procedure for selecting the optimal number of production wells based on groundwater inflow test results. The research aims to enhance the economic efficiency of mineral water extraction while minimizing environmental risks. The model is validated through field experiments, and the results show that the optimal number of production wells is six, which maximizes profit over ten years of operation. The study concludes by discussing the importance of controlling the number of wells to maintain high profitability and environmental safety.