A Comparative investigation on Viscosity Reduction of Heavy Crude Oil Using Organic Solvents

2020 ◽  
Vol 10 (4) ◽  
pp. 1675
Author(s):  
Rana Abbas Azeez ◽  
Firas K. AL-Zuhairi ◽  
Aqeel Al-Adili
Keyword(s):  
Crude Oil ◽  
Organic Solvents ◽  
Comparative Investigation ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Heavy Crude

scholarly journals Artificial Neural Network (ANN) for Prediction of Viscosity Reduction of Heavy Crude Oil using Different Organic Solvents

2020 ◽  
Vol 26 (6) ◽  
pp. 35-49
Author(s):  
Firas K. AL-Zuhairi ◽  
Rana Abbas Azeez ◽  
Muna Kheder Jassim
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Crude Oil ◽  
Organic Solvents ◽  
Heavy Oil ◽  
Viscosity Reduction ◽  
Superior Performance ◽  
Heavy Crude Oil ◽  
Heavy Crude ◽  
Artificial Neural

The increase globally fossil fuel consumption as it represents the main source of energy around the world, and the sources of heavy oil more than light, different techniques were used to reduce the viscosity and increase mobility of heavy crude oil. this study focusing on the experimental tests  and modeling with Back Feed Forward Artificial Neural Network (BFF-ANN) of the dilution technique to reduce a  heavy oil viscosity that was collected from the south- Iraq oil fields using organic solvents, organic diluents with different weight percentage  (5, 10 and  20 wt.% )  of  (n-heptane, toluene, and a mixture of  different ratio toluene / n-Heptane)  at constant temperature. Experimentally the higher viscosity reduction was about from 135.6 to 26.33 cP when the mixture of toluene/heptane (75/25 vol. %) was added. The input parameters for the model were solvent type, wt. % of solvent, RPM and shear rate, the results have been demonstrated that the proposed model has superior performance, where the obtained value of R was greater than 0.99 which confirms a good agreement between the correlation and experimental data, the predicate for reduced viscosity and DVR was with accuracy 98.7%, on the other hand, the μ and DVR% factors were closer to unity for the ANN model.

Heavy crude oil viscosity reduction and rheology for pipeline transportation

Fuel ◽  
2010 ◽  
Vol 89 (5) ◽  
pp. 1095-1100 ◽  
Author(s):  
Shadi W. Hasan ◽  
Mamdouh T. Ghannam ◽  
Nabil Esmail
Keyword(s):  
Crude Oil ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Pipeline Transportation ◽  
Oil Viscosity ◽  
Heavy Crude

scholarly journals Synthesis of Zinc Oxide Nanoparticles for Oil Upgrading and Wax Deposition Control: Effect of Calcination Temperature

2020 ◽  
Vol 20 (4) ◽  
pp. 746
Author(s):  
Siti Nurliyana Che Mohamed Hussein ◽  
Fatin Syahirah Mohamed Fuad ◽  
Marina Ismail
Keyword(s):  
Crude Oil ◽  
Crystallite Size ◽  
Calcination Temperature ◽  
Zno Nanoparticles ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Wax Deposition ◽  
X Ray ◽  
Heavy Crude ◽  
Deposition Control

In this study, ZnO nanoparticles were synthesized using a sol-gel method for oil upgrading and wax deposition control. The synthesized ZnO nanoparticles were used to measure viscosity and wax deposition in the heavy crude oil and to investigate the effectiveness of the nanoparticles in the reduction of viscosity and wax deposition control of the heavy crude oil. This study investigated the effect of calcination temperature on ZnO nanoparticles during synthesis towards viscosity reduction and wax deposition control. ZnO nanoparticles were calcined at different temperatures ranging from 300 to 900 °C. The calcined ZnO nanoparticles were characterized using X-ray diffraction (XRD), Field Emission Scanning Electron microscope (FESEM), and Energy-dispersive X-ray spectroscopy (EDX) for its structure, size, shape, and morphology. The characterization results showed a hexagonal wurtzite structure of ZnO nanoparticles. The physical properties and rheology of heavy crude oil were characterized by using Electronic Rheometer and cold finger method to analyze the viscosity, shear rate, and wax deposition of the heavy crude oil for performance study. Decreased in crystallite size from 15.59 to 12.84 nm was observed with increasing calcination temperature from 300 to 400 °C, and a further increase of calcination temperature from 400 to 900 °C, the crystallite size increased from 12.84 to 41.58 nm. The degree viscosity reduction (DVR %) of heavy crude oil was observed to increase by 41.7%, with decreasing ZnO nanoparticles size from 30.11 nm to 12.84 nm. The optimum calcination temperature was 400 °C. Wax deposition decreases by 32.40% after the addition of ZnO nanoparticles into heavy crude oil.

scholarly journals A pilot test of ultrasonic viscosity reduction of heavy crude oil in oilfield

2017 ◽  
Author(s):  
Delong Xu ◽  
Chao Li ◽  
Jingjun Deng ◽  
Weijun Lin ◽  
Lixin Bai
Keyword(s):  
Crude Oil ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Pilot Test ◽  
Heavy Crude

Heavy crude oil viscosity reduction by dilution with hydrocarbons obtained via pyrolysis of polypropylene and polystyrene

2020 ◽  
Vol 38 (8) ◽  
pp. 651-658
Author(s):  
Gerardo Martínez-Narro ◽  
Cuauhtémoc Pozos-Vázquez ◽  
Alejandro Núñez-Delgado ◽  
Daniela Morán-Medellín ◽  
Virginia Elizabeth Lara-Zárate
Keyword(s):  
Crude Oil ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Oil Viscosity ◽  
Heavy Crude

scholarly journals Viscosity reduction of extra heavy crude oil by magnetite nanoparticle-based ferrofluids

2017 ◽  
Vol 36 (1-2) ◽  
pp. 23-45 ◽  
Author(s):  
Juan E Aristizábal-Fontal ◽  
Farid B Cortés ◽  
Camilo A Franco
Keyword(s):  
Crude Oil ◽  
Automotive Industry ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Hexadecyltrimethylammonium Bromide ◽  
Reduction Degree ◽  
Magnetite Nanoparticle ◽  
Carrier Fluid ◽  
Heavy Crude ◽  
Temperature Time

The main objective of this work is to synthesize and evaluate magnetite (Fe3O4) nanoparticle-based ferrofluids for reducing the viscosity of an extra heavy crude oil. The carrier fluid of the nanoparticles was synthesized using an engine lubricant recycled from the automotive industry and hexadecyltrimethylammonium bromide as a surfactant. Fe3O4 nanoparticles were synthesized by coprecipitation method. The effect of the concentration of nanoparticles in the viscosity reduction degree was determined for dosages between 0 and 50,000 mg/L. Different dosages of carrier fluid were evaluated between 0 and 10% v/v. The effects of the amount of brine emulsified, temperature, time, and shear rate were assessed. Overall, the results showed that viscosity and shear stress of extra heavy crude oil could be reduced up to 81 and 78% in the presence of ferrofluid, respectively. The rheological behavior of extra heavy crude oil in the presence and absence of ferrofluid was assessed by Cross, Ostwald-de Waele, and Herschel-Bulkley models.

Effect of reaction temperature and hydrogen donor on the Ni0@graphene-catalyzed viscosity reduction of extra heavy crude oil

2017 ◽  
Vol 35 (2) ◽  
pp. 196-200 ◽  
Author(s):  
Lulu Yuan ◽  
Xiaodong Wang ◽  
Kai Zhao ◽  
Hui Pan ◽  
Qiuye Li ◽  
...  
Keyword(s):  
Crude Oil ◽  
Reaction Temperature ◽  
Hydrogen Donor ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Heavy Crude

Heavy Crude Oil Viscosity Reduction for Pipeline Transportation

2002 ◽  
Vol 24 (2) ◽  
pp. 93-102 ◽  
Author(s):  
Basma M. Yaghi ◽  
Ali Al-Bemani
Keyword(s):  
Crude Oil ◽  
Viscosity Reduction ◽  
Heavy Crude Oil ◽  
Pipeline Transportation ◽  
Oil Viscosity ◽  
Heavy Crude

scholarly journals Effect of Temperature on The Performance of Naphtha and Kerosene as Viscosity Reduction Agents for Improving Flow Ability of Basrah-Iraq Heavy Crude Oil

2021 ◽  
Vol 84 (1) ◽  
pp. 135-147
Author(s):  
Ali Nasir Khalaf ◽  
Asaad A. Abdullah ◽  
Raheem Khazal Al-Sabur
Keyword(s):  
Drag Reduction ◽  
Crude Oil ◽  
Viscosity Reduction ◽  
Effect Of Temperature ◽  
Heavy Crude Oil ◽  
Power Law Model ◽  
Number Range ◽  
Flow Rates ◽  
Oil Mixtures ◽  
Heavy Crude

Naphtha and kerosene are mixed with Iraqi heavy crude oil at different concentrations rounded between (3-12) wt.%, in order to reduce viscosity to enhance its followability. This research investigated drag reduction (%Dr) in heavy oil mixtures at different flow rates (2 to 10 m3/hr) in temperature range 20-50C. The experimental results proved that Naphtha offered 40% reduction in pressure drop. The Power law model was adopted in this study to empirically correlate fiction factor (f) and the percentage of drag reduction(%Dr) from experimental data for Reynolds number range (534– 14695) and the concentration range from 3 to12 wt.%.

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