Numerical study for oil-gas-water three-phase flow pattern identification in gathering transportation pipeline

2012 ◽  
Author(s):  
Dan Li ◽  
Gui-yang Ma ◽  
Ming-jun Du ◽  
Xiao-nan Wang
2020 ◽  
Vol 76 ◽  
pp. 101834
Author(s):  
Muhammad Waqas Yaqub ◽  
Ramasamy Marappagounder ◽  
Risza Rusli ◽  
D.M. Reddy Prasad ◽  
Rajashekhar Pendyala

2017 ◽  
Vol 0 (0) ◽  
pp. 0-0 ◽  
Author(s):  
P. Hanafizadeh ◽  
J. Eshraghi ◽  
Y. Nazari ◽  
K. Yousefpour ◽  
M.A. Akhavan Behabadi

2011 ◽  
Vol 66-68 ◽  
pp. 1187-1192 ◽  
Author(s):  
Hai Qin Wang ◽  
Yong Wang ◽  
Lei Zhang

Experiments were conducted in a horizontal multiphase flow test loop (50mm inner diameter, 40m long) to study the flow patterns for oil-gas-water three-phase flow and the pressure gradient fluctuation based on flow patterns. Using new methods of definition, 12 types of flow patterns were obtained and phase distribution characteristics of each pattern were analyzed. A new flow pattern (SW║IN) was firstly found in this work. Characteristics of the pressure gradient based on 7 flow patterns were carefully discussed. It was found that the pressure gradient increased with the increase of gas superficial velocity and oil-water mixture velocity. However, characteristics of the pressure gradient became complex with the increase of input water cut. The influence of flow structure of oil-water two-phase should be fully considered.


Author(s):  
Lifeng Zhang

The tomographic imaging of process parameters for oil-gas-water three-phase flow can be obtained through different sensing modalities, such as electrical resistance tomography (ERT) and electrical capacitance tomography (ECT), both of which are sensitive to specific properties of the objects to be imaged. However, it is hard to discriminate oil, gas and water phases merely from reconstructed images of ERT or ECT. In this paper, the feasibility of image fusion based on ERT and ECT reconstructed images was investigated for oil-gas-water three-phase flow. Two cases were discussed and pixel-based image fusion method was presented. Simulation results showed that the cross-sectional reconstruction images of oil-gas-water three-phase flow can be obtained using the presented methods.


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