During the production process of natural gas, there is typically a significant amount of water. This occurs both during the exploration and production of natural gas. It is important to reduce water from natural gas by the process that is referred to as gas dehydration. This is done in order to prevent the gas system from creating hydrates and corrosion and to satisfy the requirements for gas sales. Simulations and optimization for the Al-Ahdab field for gas dehydration process, which uses triethylene glycol (TEG) as the dehydrating agent as it is the most common and low-cost method for removing water from natural gas, were carried out with ASPEN HYSYS V.10 program to simulation and optimization. This study's primary objective is to perform a sensitivity analysis after obtaining results from the simulation and then investigate the possibility of optimizing the process to predict the optimum parameters in a natural gas dehydration process. Another objective of this research is to determine whether or not it is possible to optimize the process for one, two, three and four objective functions by the SQP method. Before the optimization process, a sensitivity analysis of the optimization variables was carried out. The variables that needed to be optimized in order to get the best results from this research were the temperature and the mass flow of the TEG, the temperature and pressure of the wet gas, and the molar flow of the stripping gas. The influence that each of these variables has on the quantity of water that is contained in dry gas. Optimization was performed in both single-objective, two objectives, three objectives and four objectives, and optimal conditions were presented for each of these modes. The results show that with the use of the new optimal conditions, the quality of gas dehydration is good and gets a low value for other variables. It was observed in a single objective, two, three and four objective functions get the optimum value by reducing the amount of water in the dry gas, the amount of mass flow of TEG in the vent ( loss of TEG ), the amount of energy used in the reboiler and the amount of energy used in the pump and decrease all variables that are the effect on objective fruition.
