Gas hydrate modeling using the GERG-2008 model

In the transition to sustainable energy, natural gas plays an indispensable role to replace the higher CO2 emission fossil fuels. This has called for more accurate modeling and simulation of processes involving natural gas production, transport and utilization. We attempt to model natural gas hydrate formation using the GERG-2008 model.

The demand for natural gas has been increasing and the trend is expected to continue in the near future.

 

This has called for more accurate modeling and simulation of processes involving natural gas production, transport and utilization.

 

The classical models for hydrocarbons are cubic equations of state (EoS) like SRK and PR. For high accuracy property calculation, the multi-parameter EoS are advantageous and the most successful example for natural gas is GERG-2008.

 

A particular issue with natural gas production, transport and processing is formation of gas hydrates, which is often described by cubic EoS. In this study, we attempt to model natural gas hydrate formation using the GERG-2008 model.

 

GERG-2008 is a new wide-range EoS for natural gases and other mixtures of 21 natural gas components. It is a de facto standard reference equation suitable for natural gas applications where highly accurate thermodynamic properties are required.

 

We combined GERG-2008 with the van der Waals and Platteeuw model to model hydrate formation conditions for typical components in natural gas and for their mixtures, including natural gases. A comprehensive database for pure gas hydrates and mixture gas hydrates was used to regress the model parameters and evaluate the GERG-2008 hydrate model.

 

We also applied the same procedure for SRK and PR and compared the results from three different EoS models. It was investigated how the accuracy of gas phase fugacity influences the gas hydrate modeling. The hydrate modeling of acidic gases like CO2 and H2S was particularly studied.

Contact

Wei Yan
Associate Professor
DTU Chemistry
+45 45 25 23 79