Experimental investigation of two-phase water–oil flow pressure drop in inclined pipes

Hanafizadeh, Pedram; Karimi, Amir; Taklifi, Alireza; Hojati, Arvin

doi:10.1016/j.expthermflusci.2015.11.024

Cited by 19 publications

(9 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hanafizadehet al [1]experimentally investigated the oil-water flow regime in a 20mm diameter pipe with a length of 6m in an inclined position. A high speed digital camera was equipped for visualization, flow regime identification and recording flow was used.…”

Section: Background Of the Studymentioning

confidence: 99%

“…The dynamic flow characteristics, as well as the flow parameters such as phase hold-up, pressure gradient and the flow pattern in liquid-liquid flow, are important in applications such as design and optimization of oil production wells, wellbore modelling, artificial airlift method and the crude oil pipeline transportation network [3]. In the transfer of oil-water mixture, the reduction of pressure loss is very importantand to achieve this, the condition that gives the flow pattern with the lowestpressure drop is considered the best [1]. However,asignificant factor that affects the pressure drop along an oil-water flow system in apipeline is the inclination angle of the pipe.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

CFD Modelling of Pressure Drop Along an Inclined Oil-Water Flow System

ChikaEgwunyenga¹,

Garba²,

TochukwuDibia³

2022

IJEAST

View full text Add to dashboard Cite

With the increasing need to ensure an optimized production in various processes, especially transportation in the oil and gas industry, the accurate understanding of the dynamics of multiphase flow and its effect on the pressure drop along a flow string is becoming pertinent. The achievement of efficient equipment design such as pumps, separators, flow lines and other production equipment depends on a good prediction of the pressure drop alongtheflowsystem. It is also crucial to understand how changes in fluid properties, flow conditions and pipe geometric properties affect pressure which is an important parameter that is often encountered in the oil and gas industry. Extensive works on oil-water flow mixture have been carried out by numerous investigators considering the horizontal and vertical orientations. Reliance on the empirical correlations and models developed by these investigators to model in pipeline design can be somewhat found wanting because of limitations imposed by the reality of hilly terrains encountered during transportation of oil-water mixture. In this work, experimental data from studies carried out by Hanafizadehet al. [1] was used as the data source. The pipe geometric properties, mixture velocity, oil and water properties and conditions from the above-mentioned studies were used as inputs to the ANSYS FLUENT software to develop a model for pressure drop along with an inclined oil-water flow system. Results obtained from the CFD modelling were in close agreement with the experimental result of Hanafizadehet al.

show abstract

Section: Background Of the Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CFD Modelling of Pressure Drop Along an Inclined Oil-Water Flow System

ChikaEgwunyenga¹,

Garba²,

TochukwuDibia³

2022

IJEAST

View full text Add to dashboard Cite

show abstract

“…There are several literatures which used different techniques to determine flow patterns in two-phase flows. In oil-water two-phase flows, Hanafizadeh, et al [15,16] e.g. used visual technique to determine flow patterns.…”

Section: Flow Patternsmentioning

confidence: 99%

Experimental investigation of air‐water‐oil three‐phase flow patterns in inclined pipes

Hanafizadeh

Shahani

Ghanavati

et al. 2017

Experimental Thermal and Fluid Science

Self Cite

View full text Add to dashboard Cite

Experiments of air-water-oil three-phase flow pattern is investigated in a 20 mm diameter inclined pipe with a length of 6 m using a high speed digital camera. The superficial velocities are in the range of 0.25-3 m/s, 0.25-2.3 m/s, and 0.08-13 m/s for water, low viscosity oil and air, respectively. For describing flow patterns in three-phase flow, two parameters are considered: Interaction of gas and liquids mixture, and interaction of water and oil phases. The flow patterns for different pipe angles are discussed. Observed flow patterns are stratified-oil/water (or water/oil), wavystratified-o/w, bubbly-o/w, slug-o/w, plug-o/w, plug-stratified and annular-o/w. Major flow patterns for upward and downward pipe are slug-o/w and wavy-stratified-o/w, respectively. Also the effects of inclination angle varying from −45° to +45° and different oil cuts on flow patterns have been studied. The results show that by increasing the oil cut for different inclination angles, bubbly region extends and plug region becomes smaller.

show abstract

“…The reconstructed results based on the iterative method could be high-resolution, but the processes of reconstruction might be time-consuming. Some typical methods (Hanafizadeh et al , 2016) include the truncated singular value decomposition (TSVD) method, the Tikhonov regularization method, the Newton-Raphson method and the pre-iterative Landweber (Kim et al , 2015). The TSVD method stabilizes the solution at the cost of decreasing the spatial resolution by eliminating the small singular values.…”

Section: Introductionmentioning

confidence: 99%

A novel gas/liquid two-phase flow imaging method through electrical resistance tomography with DDELM-AE sparse dictionary

Wang

et al. 2020

View full text Add to dashboard Cite

Purpose The purpose of this paper is to explore gas/liquid two-phase flow is widely existed in industrial fields, especially in chemical engineering. Electrical resistance tomography (ERT) is considered to be one of the most promising techniques to monitor the transient flow process because of its advantages such as fast respond speed and cross-section imaging. However, maintaining high resolution in space together with low cost is still challenging for two-phase flow imaging because of the ill-conditioning of ERT inverse problem. Design/methodology/approach In this paper, a sparse reconstruction (SR) method based on the learned dictionary has been proposed for ERT, to accurately monitor the transient flow process of gas/liquid two-phase flow in a pipeline. The high-level representation of the conductivity distributions for typical flow regimes can be extracted based on denoising the deep extreme learning machine (DDELM) model, which is used as prior information for dictionary learning. Findings The results from simulation and dynamic experiments indicate that the proposed algorithm efficiently improves the quality of reconstructed images as compared to some typical algorithms such as Landweber and SR-discrete fourier transformation/discrete cosine transformation. Furthermore, the SR-DDELM has also used to estimate the important parameters of the chemical process, a case in point is the volume flow rate. Therefore, the SR-DDELM is considered an ideal candidate for online monitor the gas/liquid two-phase flow. Originality/value This paper fulfills a novel approach to effectively monitor the gas/liquid two-phase flow in pipelines. One deep learning model and one adaptive dictionary are trained via the same prior conductivity, respectively. The model is used to extract high-level representation. The dictionary is used to represent the features of the flow process. SR and extraction of high-level representation are performed iteratively. The new method can obviously improve the monitoring accuracy and save calculation time.

show abstract

Experimental investigation of two-phase water–oil flow pressure drop in inclined pipes

Cited by 19 publications

References 24 publications

CFD Modelling of Pressure Drop Along an Inclined Oil-Water Flow System

CFD Modelling of Pressure Drop Along an Inclined Oil-Water Flow System

Experimental investigation of air‐water‐oil three‐phase flow patterns in inclined pipes

A novel gas/liquid two-phase flow imaging method through electrical resistance tomography with DDELM-AE sparse dictionary

Contact Info

Product

Resources

About