Modelling of gas to hydrate conversion for promoting CO2 capture processes in the oil and gas industry

In this contribution, equilibrium conditions of clathrate hydrates containing mixtures of carbon dioxide and tetra-n butylammonium bromide and tetra-n butylammonium chloride are modeled by a combination of particle swarm optimization algorithm with least square support vector machine intelligent approach. The evaluation of aforementioned model has been conducted by statistical analyses between experimental and predicted values. The obtained results show excellent performance of proposed model.