This paper addresses the sustainable management of mineral water extraction in the Caucasian Mineral Waters (CMW) region, a significant source of therapeutic and preventive resources. The authors propose a method to determine the parameters of modified links that replace static and dynamic indicators of hydrodynamic processes, aiming to enhance environmental safety and stabilize reservoir pressure. The approach involves recording parameters at different filtration coefficients along spatial coordinates, which helps in maintaining the quality of aquifers and controlling reservoir pressure. The study also includes a mathematical model for hydro-lithospheric processes, considering the impact of well locations on total production. The results demonstrate that optimizing well placement can maximize profit over ten years of operation, with a total profit of RUB 1244 million and a total flow rate of 1257.8 m³/day. The research highlights the importance of predictive models and distributed control systems in managing hydrodynamic processes, offering practical recommendations for sustainable mineral water extraction.This paper addresses the sustainable management of mineral water extraction in the Caucasian Mineral Waters (CMW) region, a significant source of therapeutic and preventive resources. The authors propose a method to determine the parameters of modified links that replace static and dynamic indicators of hydrodynamic processes, aiming to enhance environmental safety and stabilize reservoir pressure. The approach involves recording parameters at different filtration coefficients along spatial coordinates, which helps in maintaining the quality of aquifers and controlling reservoir pressure. The study also includes a mathematical model for hydro-lithospheric processes, considering the impact of well locations on total production. The results demonstrate that optimizing well placement can maximize profit over ten years of operation, with a total profit of RUB 1244 million and a total flow rate of 1257.8 m³/day. The research highlights the importance of predictive models and distributed control systems in managing hydrodynamic processes, offering practical recommendations for sustainable mineral water extraction.