SeyyedMohammadreza Hesami - Department of Chemical engineering, Petroleum University of Technology
Zakarya Kamali
Majid Zendedel Siuki
Seyed Borhan Armand

Gas hydrates are easily formed during the transportation of oil and gas when it contains a certain amount of water. This paper describes the development and application ofArtificial Neural Networks (ANN) that optimized by imperialist competitive algorithm (ICA) for the prediction of natural gas hydrates formation Temperature. In this work after training so ICA-ANN models we find an optimum one that have been used to accurately simulatingcarbon dioxide hydrate dissociation Temperature. Hence, reliable data of Co2 were used as input in obtained ICA-ANN model. The obtained results are in the minimum error in compare to experimental.

Gas Hydrate, dissociation temperature, ICA-ANN, modeling, optimization