Abstract
Determining thermodynamic and kinetic conditions for natural gas hydrate formation is an interesting subject for many researches. At the present, suitable information including experimental data and the thermodynamic models of hydrate formation are available which predict the thermodynamic conditions of hydrate formation. Conversely, there is no sufficient study about the kinetics of natural gas hydrate and most of experimental data and kinetic models in the literature are incomplete. Artificial Intelligence (AI) having sub-branches such as artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS) has been proved as a novel tool with acceptable accuracy for modeling of engineering systems. Therefore, this paper aims to investigate the kinetics of hydrate formation by predicting the relationship of growth rate of methane hydrate with temperature and pressure using ANN and ANFIS. This goal can also be achieved by solving complicated governing equations while artificial intelligence provides an easier way to accomplish this goal. The result has shown that ANIFS is a more potential tool in predication relationship of kinetics of hydrate formation with temperature and pressure in comparison of ANN in present work.
Highlights
Hydrates are ice-like compounds that could be formed at temperature and pressure conditions higher than ice point as a function of gas compositions
Suitable information about thermodynamic model of hydrate formation and experimental data are available that mostly are able to predict the conditions of hydrate formation
The whole hydrate formation process was recorded by the video camera and the surface area ab of a gas bubble was calculated by image software
Summary
Hydrates are ice-like compounds that could be formed at temperature and pressure conditions higher than ice point as a function of gas compositions. Hydrate formation in the oil and gas industry causes difficulties such as plugging of offshore oil and gas production pipelines, pressure drop and corrosion of facilities. It has several applications such as storage and transportation of natural gases, desalination of sea water, storage of carbon dioxide for a long time and separation of hydrogen from other light gases. Suitable information about thermodynamic model of hydrate formation and experimental data are available that mostly are able to predict the conditions of hydrate formation. There is no sufficient information about the kinetics of hydrate growth rate and most of experimental data and kinetic models in the literature are incomplete
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