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Damages to sewers cause infiltration and exfiltration and at Their functionalityĮnsures the transport of wastewater to the sewage treatment plant and the transport of rainwaterįrom residential areas. Sewer networks are one major pillar of modern cities’ infrastructure. It can be concluded that the prediction capabilities of the CFD and LedaFlow models are similar for riser-induced slug flow while the CFD model is much more computational intensive. The CFD model had a runtime of 57 h while the LedaFlow model had a runtime of 13 min. Both models predicted a classical blowout, in which the riser is completely evacuated of water, while only a partial evacuation of the riser was observed experimentally. Both the CFD and LedaFlow model underpredicted the experimentally determined slug frequency by 22% and 16% respectively. Unsteady simulations using the commercial 1D LedaFlow solver were performed using the same boundary conditions and fluid properties as the CFD simulation.
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A 3D unsteady CFD simulation was performed based on Reynolds-Averaged Navier-Stokes (RANS) formulation and the Volume of Fluid (VOF) model using the open-source CFD code OpenFOAM. A benchmark case of slug flow served for evaluation of the numerical models.
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A laboratory test facility was used to obtain data for pressure and mass flow rates for the two-phase flow of air and water. The reduction in cost of computational power in recent years have made it relevant to compare the performance of these codes with high fidelity CFD simulations. Presently, the industry use relatively simple 1D-models, such as LedaFlow, to predict flow patterns in pipelines. The goal of this study is to compare mainstream Computational Fluid Dynamics (CFD) with the widely used 1D transient model LedaFlow in their ability to predict riser induced slug flow and to determine if it is relevant for the offshore oil and gas industry to consider making the switch from LedaFlow to CFD.