Simulation of Crude Oil Transportation with Drag Reduction Agents Using k-ϵ and k-ω Models

Author(s):  
Ali Nasir Khalaf ◽  
Asaad A. Abdullah

This work explores the possibility of using Newtonian turbulence k−ϵ and k−ω models for modelling crude oil flow in pipelines with drag reduction agents. These models have been applied to predict the friction factor, pressure drop and the drag reduction percentage. The simulation results of both models were compared with six published experimental data for crude oil flow in pipes with different types of drag reduction agents. The velocity near the wall was determined using the log law line of Newtonian fluid equation and by changing the parameter ΔB to achieve an excellent agreement with experimental data. Simulated data for k−ϵ model shows better agreement with most experimental data than the k−ω turbulence model.

2015 ◽  
Vol 9 (1) ◽  
pp. 1 ◽  
Author(s):  
Yanuar Yanuar ◽  
Kurniawan T. Waskito ◽  
Gunawan Gunawan ◽  
Budiarso Budiarso

Author(s):  
W. Reid Dreher ◽  
Ray Johnston ◽  
Peter Lauzon ◽  
Joey Pierce

As worldwide heavy crude oil production increases, pipelines are faced with challenges to transport these higher viscosity fluids. Historically, heavy crude oil has been a challenge for existing commercially available DRAs. As crude oil gravities fall below ∼23 °API, existing DRAs become ineffective. ConocoPhillips Specialty Products Inc. (CSPI) developed a new class of DRAs to address this need. CSPI’s new heavy crude oil DRA technology, ExtremePower™ Flow Improvers, is proven to increase deliveries of produced heavy crude oil to market. In this paper we will discuss the mechanism of drag reduction, how a heavy crude oil DRA works, and two scenarios in which value is created by utilizing the product.


Author(s):  
Rabeeah H. Sultan ◽  
Abduelmaged B. Abduallah ◽  
Omar M. Sultan M. Sultan

In this study the applicability of the Libyan crude oil flow induced by improved lab pumping system was examined in order to evaluate the effect of adding polymeric materials of Polystyrene and Polydimethylsiloxane as drag reducing agents (DRA) on the flow of Sharara crude oil in the pipeline. The polymers are injected through a pumping system at different concentrations rounded between (10-100) ppm. Several experiments were carried out to determine the best concentration of polymer, which satisfied lowest drag force on of crude oil flow rate. Furthermore, the effect of additive concentration on the Viscosity(μ), friction factor (ƒ), percentage drag reduction (%DR) and the amount of flow increases (%FI) were determined. The results show that the activities of Polydimethylsiloxane for Drag reduction is higher than drag reduction for Polystyrene. However, the %DR is generally increased with increasing of polymer concentration for all tested additives. It is progressively increased with increasing Reynolds number (Re) at any specific concentration of the polymeric additives. The friction factor is well correlated with Reynolds numbers and polymer concentration according to the relation of the form ƒ= k ReaCb, the results showed good agreement between the observed values and the predicted ones.


Author(s):  
М.И. Пряжников ◽  
А.В. Минаков ◽  
А.И. Пряжников ◽  
А.С. Якимов

The flow regimes of water and crude oil in a Y-type microchannel were studied in a wide range of flow rates. Four different types of water-oil flow regimes have been identified: plug, droplet, parallel and chaotic. The ranges of existence of these flow regimes have been determined. Dependences of the length of water plugs and droplets in oil on various parameters have been established. Maps of the corresponding water-oil flow regimes have been constructed.


2020 ◽  
Author(s):  
Yanuar ◽  
Gunawan ◽  
M. Raihan Setiawan ◽  
Whisnu Febriansyah ◽  
Angga Arianda
Keyword(s):  

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Ali A. Abdul-Hadi ◽  
Anees A. Khadom

The influence of SDBS, SLS, SLES, and SS as drag reducing agents on flow of Iraqi crude oil in pipelines was investigated in the present work. The effect of additive type, additive concentration, pipe diameter, solution flow rate, and the presence of elbows on the percentage of drag reduction (%Dr) and the amount of flow increases (%FI) was addressed. The maximum drag reduction was 55% obtained at 250 ppm SDBS surfactant flowing in straight pipes of 0.0508 m I.D. The dimensional analysis was used for grouping the significant quantities into dimensionless groups to reduce the number of variables. The results showed good agreement between the observed drag reduction percent values and the predicted ones with high value of the correlation coefficient.


Author(s):  
Dongliang Yu ◽  
Ji Wang ◽  
Quan Cao ◽  
Xinglong Zhang ◽  
Xueguang Liu

Abstract Crude oil leaking in rivers may cause serious damages, such as environmental pollution and death of river animals. The crude oil spreading in rivers could be much faster than that on lands, as the leaking crude oil may flow rapidly downstream with the flowing water. Therefore, accurately estimating the transient crude oil spreading area in rivers is a vital task for emergency response and disaster rescue. However, the estimating methods in the literature mainly refer to spreading process in underwater, ocean and soil, which commonly happened in the history. The crude oil transportation pipelines in China pass through many rivers with very complex channel geometries, introducing the necessity of estimating of leaking crude oil spreading in actual river channels. In the current study, the crude oil spreading process along an actual river channel is numerically simulated. The river channel geometry is extracted from a map database, which is further treated using image binarization and edge extraction to obtain the discrete river channel data. The river channel data is then smoothed by picking less data representing main geometric characteristics. The smoothed data is used to reconstruct the river geometry and generate calculation mesh. The mesh is a two-dimensional structured grid with several possible leaking points along the actual crude oil transportation pipeline passing through the river. A multi-fluid MIXTURE model is used to simulate the crude oil spreading process on the water surface, meaning crude oil blending in the flowing water. Cases with a leaking mass flow rate of 240 kg/s and a river flow velocity of 1.58 m/s are simulated for 10 possible leaking sources on the traversing pipeline. The effect of leaking locations and river channel bending on crude oil spreading on river surface were significant according to the simulation results. Sudden widening river channel may result in vortexes and slightly delays the crude oil spreading. The simulated data could be used to make the rescue strategy of crude oil leaking in this specific river.


Author(s):  
Aleksey Malahanov

A variant of the implementation of the behavioral model of a linear voltage stabilizer in the Spice language is presented. The results of modeling in static mode are presented. The simulation results are compared with experimental data and technical description of the chip manufacturer.


Sign in / Sign up

Export Citation Format

Share Document