شماره ركورد كنفرانس :
1944
عنوان مقاله :
A Developed Method for CO2 Hydrate Prediction Conditions
عنوان به زبان ديگر :
A Developed Method for CO2 Hydrate Prediction Conditions
پديدآورندگان :
Hesami Mohammadreza نويسنده Petroleum University of Technology - Department of Chemical engineering , Kamali Zakarya نويسنده , Zendedel Siuki Majid نويسنده , Armand Borhan نويسنده , Jamshidi Emad نويسنده
كليدواژه :
Modeling , Optimization , ICA-ANN , Dissociation temperature , Gas hydrate
عنوان كنفرانس :
همايش ملي رياضيات و كاربردهاي آن
چكيده لاتين :
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.
شماره مدرك كنفرانس :
4476027
