A Simplified Slug Flow Model for Highly Viscous Oil-Gas Flow in Horizontal Pipes.

2013 ◽  
Author(s):  
R. Brito ◽  
E. Pereyra ◽  
C. Sarica ◽  
C. Torres
Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 842
Author(s):  
Tea-Woo Kim ◽  
Nam-Sub Woo ◽  
Sang-Mok Han ◽  
Young-Ju Kim

The accurate prediction of pressure loss for two-phase slug flow in pipes with a simple and powerful methodology has been desired. The calculation of pressure loss has generally been performed by complicated mechanistic models, most of which require the iteration of many variables. The objective of this study is to optimize the previously proposed simplified slug flow model for horizontal pipes, extending the applicability to turbulent flow conditions, i.e., high mixture Reynolds number and near horizontal pipes. The velocity field previously measured by particle image velocimetry further supports the suggested slug flow model which neglects the pressure loss in the liquid film region. A suitable prediction of slug characteristics such as slug liquid holdup and translational velocity (or flow coefficient) is required to advance the accuracy of calculated pressure loss. Therefore, the proper correlations of slug liquid holdup, flow coefficient, and friction factor are identified and utilized to calculate the pressure gradient for horizontal and near horizontal pipes. The optimized model presents a fair agreement with 2191 existing experimental data (0.001 ≤ μL ≤ 0.995 Pa∙s, 7 ≤ ReM ≤ 227,007 and −9 ≤ θ ≤ 9), showing −3% and 0.991 as values of the average relative error and the coefficient of determination, respectively.


2020 ◽  
Vol 35 (03) ◽  
pp. 604-609
Author(s):  
Abdelsalam Al-Sarkhi ◽  
Khalid Abdelbasit ◽  
Haitham Bahaidarah

2018 ◽  
Vol 165 ◽  
pp. 397-411 ◽  
Author(s):  
Yahaya D. Baba ◽  
Aliyu M. Aliyu ◽  
Archibong E. Archibong ◽  
Mukhtar Abdulkadir ◽  
Liyun Lao ◽  
...  

2008 ◽  
Vol 3 (02) ◽  
pp. 1-11 ◽  
Author(s):  
Bahadir Gokcal ◽  
Qian Wang ◽  
Hong-Quan Zhang ◽  
Cem Sarica

2014 ◽  
Vol 67 ◽  
pp. 37-51 ◽  
Author(s):  
Hatef A. Khaledi ◽  
Ivar Eskerud Smith ◽  
Tor Erling Unander ◽  
Jan Nossen

2006 ◽  
Author(s):  
Bahadir Gokcal ◽  
Qian Wang ◽  
Hong-Quan Zhang ◽  
Cem Sarica

Author(s):  
Daniel Mendelsohn ◽  
Eric Comerma ◽  
Matt Bernardo ◽  
Jeremy Fontenault ◽  
Sitara Baboolal

ABSTRACT Highly viscous oil does not behave the same as other regular liquid hydrocarbon mixtures. To evaluate the effects of a potential land-based blowout on the surrounding environment, RPS implemented a multi-step approach to simulate the trajectory and fate of high viscosity oil downslope flow. If spilled on land, initially warm oil cools and tends to gel, implying a non-Newtonian flow. To predict the behavior of high viscosity oil as it flows downslope, spreads and cools, RPS developed a new unique land-based spill model. The behavior of highly viscous crude oil has many similarities to volcanic lava flows, particularly the stark changes in oil viscosity and shear stress as the fluid cools. This study describes a “lava” flow numerical model developed to simulate the response of high viscosity oils. The viscous flow model is based on the lava model of Griffiths (2000) which simulates the unconfined motion of a Bingham fluid down a plane of constant slope. The model allows all physical and chemical parameters to vary continuously downslope. The lateral flow is assumed to cease when the cross-slope pressure gradient is balanced by the basal-yield stress also giving the height of the flow (H) on the center line of the flow as a function of shear stress. For oil flow motion the downslope pressure gradient must be greater than the oil shear stress and hence there is a critical height, based on the local oil shear stress and slope, below which there will be no downslope motion. An atmospheric heat transfer equation was applied to the oil surface as the surface boundary condition. The model was applied to a hypothetical on land release of highly viscous oil in a one-dimensional, downslope form, where the ground slope was assumed constant along the flow path. As the oil progresses downslope, its temperature was updated each time step in each cell and used to calculate new oil properties for density, specific heat, viscosity, and shear stress. The model results provide information about the rate and total distance travelled and time for the downslope flow to stop.


2021 ◽  
pp. 1-24
Author(s):  
Marcel C. Barbosa ◽  
Oscar M. H. Rodriguez

Abstract Proper sizing of flow lines in the upstream energy industry depends on accurate modeling of gas-liquid flow, which has a common occurrence in production wells and has been studied thoroughly for many decades. However, data of flow in duct geometries different from circular pipes and when the liquid viscosity is much higher than that of water are scarce. Proper prediction of pressure gradient, heat and mass transfer and corrosion depends on the accuracy of the model used to calculate the volumetric phase fraction. In pumped directional wells with inverted-shroud gravitational separators there is flow through an annular duct formed between the wells' casing and the separator itself that can have some tens of meters. The present work is an investigation on upward vertical/inclined high-viscous-oil/gas flow in a large and narrow annulus (30mm hydraulic diameter with an outer diameter equal to 155mm), using a radial geometry comparable to those found in real production systems. Air-water and air-oil mixtures, the latter with two oil viscosity ranges, were used as working fluids. The experimental test section used was 9.67m long positioned at 90° (vertical) and 45° and made of two concentric pipes. Flow pattern transitions from the literature were analyzed and compared to the collected experimental data. Drift-flux parameters were obtained from multiple working conditions. These drift-flux parameters were employed in the development of a novel flow-pattern-independent correlation, compared against the present data and other data sets from the literature in which other geometries and fluids were used. The predictions of the proposed drift-flux correlation are significantly superior in comparison to correlations selected from the literature in all cases.


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