Numerical Heat Transfer Analysis of Two-Phase Flow in Horizontal and Inclined Flowline using OpenFOAM

Numerical study and sensitivity analysis of two-phase oil-water flow and heat transfer in different flowline orientations using OpenFOAM

“…Several authors have reported the effect of pipe inclination angles on flow patterns [2,[43][44][45], pressure drop [44,46,47], liquid holdup [43,44,[46][47][48][49], drop velocity [48], drag-reducing polymers [50], and HTCs [41,51,52] in two-phase oil-water flows. Boostani et al carried out an experimental investigation and artificial neural network (ANN) model to resolve the HTC, and flow pattern for oil-water flows in inclined and horizontal pipes.…”

A Comparative Numerical Investigation of the Behavior of Two‐Phase Hydrocarbon Flow Phenomena in Horizontal Flowline with Different Turbulence Models Using OpenFOAM

“…Recent techniques for modeling hydrodynamic two‐phase flow generally consist of either mechanistic or empirical models 1, 24. The earliest commonly employed two‐phase mechanistic model was developed by Taitel and Dukler 25, which opened doors for other researchers to further explore the field 2, 26. Other research efforts had centered on empirical models like the familiar Beggs‐and‐Brill technique 27, which is an upgrade of initial homogeneous models as it gives a foundation for flow regime map generation and also includes certain correlations for computing pressure drop and liquid holdup 1.…”

“…There are several existing cases of CFD tools for two‐phase flow analysis in straight pipes, but research is often restricted to either a single‐flow regime or two‐dimensional (2D) analysis 32–35. Furthermore, established solvers in commercial software, namely ANSYS Fluent and ANSYS‐CFX, have been applied mostly for research on multiphase flow 1, 26, 36. OpenFOAM has recently gained a firm grip as a substitute simulation tool for conventional commercial software for modeling the transportation of liquid and gas in the pipeline, on account of its friendly syntax for partial differential equations, no licensing costs, fully documented source code, a broad scope of available solvers, and automatic parallelization capacities 1, 37.…”