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Temperature is calculated as a function of gas gravity and pressure using an exponential function with two constant parameters, a and b. To obtain the best prediction model of gas hydrate formation, the behavior of these parameters in response to changes in gas gravity is monitored . Methane-ethane, methane-propane, ethane-propane, and ethane-carbon dioxide are among the binary components to which the suggested model is applied. The suggested predictive model outperforms the existing correlation approaches, such as Hammerschmidt, Motiee, and Ghiasi correlations, according to statistical analysis. The type of gases that make up the hydrate has a big impact on the gas hydrate equilibrium line, and the predictive model's constant values are different for each binary component. As a result, this study indicates that rather than constructing an empirical correlation-based on the assumption that the specific gas gravity is a general characteristic independent of the kind of gas hydrate mixture, a predictive model should be established for each gas hydrate mixture.

Modeling of hydrate formation prediction in binary components of natural gas