Natural gas hydrates
are considered as a promising fuel source
in the relatively near future. Kinetic modeling of various steps of
the natural gas hydrate formation process, such as dissolution, nucleation,
and growth processes, has received numerous attentions. A novel mechanism
is introduced for the entire nucleation and growth steps, and a proper
mathematical model is presented to estimate the gas consumption rate
in a constant temperature and pressure process. The proposed model
covers the entire dissolution, nucleation, and growth stages. The
combined Lax–Wendroff/Crank–Nicolson method is employed
to solve the population balance equation for estimation of total surface
area of evolved hydrate particles and corresponding particle size
distributions. A special class of artificial neural network (known
as the Regularization Network) is used to predict the solid–liquid
equilibria. The proposed model is successfully validated using experimental
data borrowed from the literature for both methane and ethane hydrate
formation processes. The simulation results indicate that, for both
methane and ethane species, the mole fractions in the bulk of liquid
are often close to the corresponding concentrations at solid–liquid
interfaces and decrease over the time during hydrate growth processes.
It is clearly demonstrated that the overall resistance shifts from
the nucleation reaction to mass transfer as the hydrate formation
progresses.