Abstract— The well location problem is challenging due to the non-linear, discrete and often multi-modal objective function. The optimal distribution of productive well locations mitigates the groundwater productivity problem that threats the national projects in arid countries like Egypt. In this paper, a trial to mitigate this problem in Tushki National Project, south western desert, Egypt is supposed via delineating the optimal well locations and optimal pumping rates. The methodology of combination between simulation and optimization techniques is applied. The simulation outputs of groundwater flow system by Visual MODFLOW model is linked by the constructed Fortran Code for Optimal well Location using Genetic Algorithm (OLGA Code) for obtaining the optimum management of groundwater resources in this project. Two management cases are considered by running the model domain with adopted steady and transit calibrated parameters. The first management case deals with the present well locations and predicts the optimal value of the objective function (maximum pumping rate). In the second case, the optimal new well locations resulted from the OLGA Code is predicted from flexible well location with the moving well option. Also, the prediction of the future changes in both head and flow are studied in steady and transient states.
Keywords— Groundwater, Optimization, Genetic Algorithm, Tushki project.
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