Abstract

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. Presently, the industry use relatively simple 1D-models, such as LedaFlow, to predict flow patterns in pipelines. 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. A laboratory test facility was used to obtain data for pressure and mass flow rates for the two-phase flow of air and water. A benchmark case of slug flow served for evaluation of the numerical models. 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. Unsteady simulations using the commercial 1D LedaFlow solver were performed using the same boundary conditions and fluid properties as the CFD simulation. Both the CFD and LedaFlow model underpredicted the experimentally determined slug frequency by 22% and 16% respectively. 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. The CFD model had a runtime of 57 h while the LedaFlow model had a runtime of 13 min. 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.

Highlights

  • The accurate prediction of the two-phase flow in riser pipeline systems are important for the design and process control of offshore oil and gas facilities [1,2]

  • It can be concluded that the prediction capabilities of the Computational Fluid Dynamics (CFD) and LedaFlow models are similar for riser-induced slug flow while the CFD

  • Riser-induced slug flow is undesired in the process system because it leads to highly fluctuating flow and pressure levels, which can lead to poor separator performance among others [5]

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Summary

Introduction

The accurate prediction of the two-phase flow in riser pipeline systems are important for the design and process control of offshore oil and gas facilities [1,2]. The 1D commercial code LedaFlow is commonly used in the industry to predict the undesired slug formation and peak pressure levels [3]. Slug flow is a two-phase phenomenon of transient nature and difficult to predict using analytical approaches [4]. Riser-induced slug flow is undesired in the process system because it leads to highly fluctuating flow and pressure levels, which can lead to poor separator performance among others [5]. The phenomenon of riser-induced slug flow is caused by the heavier liquid phase building up at geometrical low points in the riser, blocking the gas flow. The cycle has a constant frequency which is influenced by the current flow parameters

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