IMPROVEMENT OF SHARARA CRUDE OIL FLOW USING POLYSTYRENE AND POLYDIMETHYLSILOXANE AS DRAG REDUCING AGENTS

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.

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.


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.


2018 ◽  
Vol 8 (01) ◽  
Author(s):  
Adil Abbas Alwan ◽  
Ali Jassim Mohammad

flow, where adding certain amount of drag reducing agent, such as polymer. From addition of that agent, it causes a dramatic frictional drag reduction. This work shows the effect of the pressure drop on a drag reduction along pipe in a horizontal placing with kerosene flow is investigated. The tested fluid was kerosene and poly isobutylene polymer (PIB) with 50 ppm (part per million), 75 ppm, and 100 ppm weight concentration of polymer: Experimental investigation gives more description of this phenomenon. The experimental results illustrate that pressure drop and pressure gradient decreases with increasing of polymer concentration and volume flow rate. The friction factor decreases with increasing of additive concentration and velocity. The drag reduction percentage increases with increasing the mean velocity, polymer concentration and temperature. The experimental results show that maximum drag reduction (DR %) about 19%.


Author(s):  
Hussam Hussein Ali ◽  
Majid Habeeb Faidh-Allah

flow, where adding certain amount of drag reducing agent, such as polymer. From addition of that agent, it causes a dramatic frictional drag reduction. This work shows the effect of the pressure drop on a drag reduction along pipe in a horizontal placing with kerosene flow is investigated. The tested fluid was kerosene and poly isobutylene polymer (PIB) with 50 ppm (part per million), 75 ppm, and 100 ppm weight concentration of polymer: Experimental investigation gives more description of this phenomenon. The experimental results illustrate that pressure drop and pressure gradient decreases with increasing of polymer concentration and volume flow rate. The friction factor decreases with increasing of additive concentration and velocity. The drag reduction percentage increases with increasing the mean velocity, polymer concentration and temperature. The experimental results show that maximum drag reduction (DR %) about 19%.


2019 ◽  
Vol 12 (33) ◽  
pp. 1-4
Author(s):  
Thamer Jasim Mohammed ◽  
Saad Nahi Saleh ◽  
Huda Kadhim Hassan ◽  
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2020 ◽  
Author(s):  
Yanuar ◽  
Gunawan ◽  
M. Raihan Setiawan ◽  
Whisnu Febriansyah ◽  
Angga Arianda
Keyword(s):  

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.


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