Hydrogen is a high pressure gas, hence hydrogen natural gas mixture require an accurate prediction of transient flow parameter. The reduce order modelling is used in analysis of transient flow, where viscosity change is neglected thereby reducing the governing equations to Euler equation based on the assumption. The hydrogen natural gas mixture is homogenous, with pressure and velocity considered as principal dependent variable where polytrophic process is admitted. For improvement on the accurate prediction of flow parameters on the analysis of transient flow of hydrogen natural gas mixture in pipeline implicit Steger-Warming flux vector splitting method (FSM) used in the construction of efficient reduce order model. The result shows significant improvement on efficiency, accuracy and uniqueness when compared to normal conventional numerical techniques. The effect of heat transfer is observed on heat flux and internal energy of transient flow. The methods of reduced order with and without static correction show significant agreement for different gas ratio. The prediction of flow parameter along the pipeline can improvegas delivery and the analysis of transient flow behaviour at any point during the flow
