Compositional Based Heavy Oil Viscosity Model for Kuwaiti Heavy Crude Oils

2016 ◽  
Author(s):  
Abdulrahim Kamel ◽  
Osamah Alomair ◽  
Adel Elsharkawy
Keyword(s):  
Heavy Oil ◽  
Viscosity Model ◽  
Crude Oils ◽  
Oil Viscosity ◽  
Heavy Crude

scholarly journals Retraction notice

2018 ◽  
Vol 36 (3-4) ◽  
pp. NP1-NP1 ◽  
Keyword(s):  
Heavy Oil ◽  
Chemical Engineering ◽  
Theoretical Study ◽  
Viscosity Reduction ◽  
Crude Oils ◽  
Editorial Office ◽  
Heavy Crude ◽  
Retraction Notice ◽  
Redundant Publication

At the request of the Publisher, the following article has been retracted for redundant publication. Taborda EA, Franco CA, Ruiz AM, Alvarado V, Cortés FB (2017) Striking behavior of the rheology in heavy crude oils by adding nanoparticles. Adsorption Science & Technology. Epub ahead of print 29 August 2017. DOI: 10.1177/0263617417727996 . After publication, the Adsorption Science & Technology Editorial Office became aware that this article had been simultaneously submitted to Adsorption Science & Technology, and two other journals: Chemical Engineering Communications and Energy Fuels, which resulted in the redundant publication of the above article. The above article is near-identical to the following articles published by the same group of authors in Chemical Engineering Communications and Energy & Fuels. Taborda EA, Franco CA, Ruiz AM, Alvarado V, Cortés FB (2017) Anomalous Heavy-Oil Rheological Thinning Behavior upon Addition of Nanoparticles: Departure from Einstein’s Theory. Chemical Engineering Communications 204(6): 648–657. Taborda EA, Franco CA, Ruiz AM, Alvarado V, Cortés FB (2017) Experimental and Theoretical Study of Viscosity Reduction in Heavy Crude Oils by Addition of Nanoparticles. Energy Fuels 31(2): 1329–1338.

scholarly journals The Thermal Encroachment of Microwave Heating with Nano Ferro Fluids Injection on Heavy Oil Deposits

2018 ◽  
Vol 12 (9) ◽  
pp. 1 ◽  
Author(s):  
Erdila Indriani ◽  
Sudjati Rachmat ◽  
Leksono Mucharram ◽  
Agus Yodi Gunawan ◽  
Munir Achmad ◽  
...  
Keyword(s):  
Heavy Oil ◽  
Maximum Output Power ◽  
Nano Particles ◽  
Oil Reservoir ◽  
Maximum Output ◽  
Thermal Heating ◽  
Oil Viscosity ◽  
Thermal Methods ◽  
Oil Deposits ◽  
Heavy Crude

Heavy oil demands more energy for its lifting to the surface facilities. A critical parameter that can be altered to enhance the production from the reservoir is the viscosity. Lowering oil viscosity predominantly achieved by thermal methods. This study investigated thermal encroachment in the sand pack layers as simulated heavy oil reservoir was generated by the microwave stack heated mixtures of 22 0API of Indonesian heavy crude, nano-ferrofluidFe2O3 and saturated brines. The wave guide was used to focus microwave radiation into the sand bed. The experimental results showed thatmicrowaveheatingwith maximum output power of 900 Watt and Fe2O3 as the nano particles, works at the frequency of 2.45 GHz reduces oil viscosity from 4,412.11 cP on its pour point at 51 0C to 134.24 cP at 90 0C. Thermal heating with nano ferro fluidsdecreased the viscosityof heavyoiland make it easierto beflowed. Theincreasesoftemperature are directly proportionalwithpoweroutput and nano-ferroconcentration.

scholarly journals THE RECOVERY OF SPILLED HEAVY OIL WITH FISH NETTING

1989 ◽  
Vol 1989 (1) ◽  
pp. 123-126
Author(s):  
H. M. Brown ◽  
R. H. Goodman
Keyword(s):  
Oil Spill ◽  
Heavy Oil ◽  
Crude Oils ◽  
Oil Viscosity ◽  
Open Sea ◽  
Neutrally Buoyant

ABSTRACT Most oil spill containment and recovery equipment is not suitable for use with heavy viscous crude oils. For these oils, nets have been suggested as a containment device, and some laboratory and open sea studies of their suitability have been conducted. We have used a trolley system in a large outdoor pool to measure net loading and to observe the behavior of nets in containing heavy neutrally buoyant oil (viscosity of 3 × 105 cSt at 10° C). For moderate towing speeds of about 0.3 meters per second, inexpensive ¼ inch mesh fish netting was found to be a suitable containment device.

scholarly journals Sensitivity Analysis, Calibration and Uncertainty Quantification for Heavy Oil Viscosity Estimates with a Corresponding States Model

2020 ◽  
Author(s):  
Diego Volpatto ◽  
Lucas V. A. Oliveira ◽  
Sofia P. Bittencourt ◽  
Danilo Silva ◽  
Edson T. M. Manoel
Keyword(s):  
Sensitivity Analysis ◽  
Bayesian Approach ◽  
Heavy Oil ◽  
Corresponding States ◽  
Viscosity Model ◽  
Least Squares Regression ◽  
Oil Viscosity ◽  
Bayesian Calibration ◽  
Tuning Parameters ◽  
Sensitivity Assessment

The main goal of this work is to assess heavy oil viscosity estimates by a Corresponding States Principle (CSP) model using a Bayesian approach in an efficient way. To determine and select relevant parameters for model calibration, an enhanced Elementary Effects method is used to evaluate sensitivity measures of CSP tuning parameters. With the combination of sensitivity analysis and Bayesian calibration, a unified procedure to automatically tune CSP viscosity model while reducing the number of tuning parameters is devised. Moreover, the Bayesian approach provides additional information on CSP model uncertainties and credible regions inherited from experimental data. To evaluate such uncertainties in CSP viscosity model, it was used five heavy oil samples available in the literature. The viscosity curves constructed by 50th-percentile from Monte Carlo realizations for the CSP calibration show good agreement when compared with classical Least-Squares regression (deterministic), demonstrating the potential of the sensitivity assessment for both Bayesian and deterministic approaches. However, when Bayesian calibration is used, limitations of CSP viscosity estimates are detected through violation of credible regions, suggesting that heavy oil viscosity estimates for relatively low pressure conditions can be insufficiently accurate for the CSP model considered in this study

scholarly journals RETRACTED: Striking behavior of the rheology in heavy crude oils by adding nanoparticles

2017 ◽  
Vol 36 (3-4) ◽  
pp. NP2-NP17
Author(s):  
Esteban A Taborda ◽  
Camilo A Franco ◽  
Marco A Ruiz ◽  
Vladimir Alvarado ◽  
Farid B Cortés
Keyword(s):  
Heavy Oil ◽  
Chemical Engineering ◽  
Theoretical Study ◽  
Viscosity Reduction ◽  
Crude Oils ◽  
Editorial Office ◽  
Heavy Crude ◽  
Redundant Publication

At the request of the Publisher, the following article has been retracted for redundant publication. Taborda EA, Franco CA, Ruiz AM, Alvarado V, Cortés FB (2017) Striking behavior of the rheology in heavy crude oils by adding nanoparticles. Adsorption Science & Technology. Epub ahead of print 29 August 2017. DOI: 10.1177/0263617417727996 . After publication, the Adsorption Science & Technology Editorial Office became aware that this article had been simultaneously submitted to Adsorption Science & Technology, and two other journals: Chemical Engineering Communications and Energy Fuels, which resulted in the redundant publication of the above article. The above article is near-identical to the following articles published by the same group of authors in Chemical Engineering Communications and Energy & Fuels. Taborda EA, Franco CA, Ruiz AM, Alvarado V, Cortés FB (2017) Anomalous Heavy-Oil Rheological Thinning Behavior upon Addition of Nanoparticles: Departure from Einstein’s Theory. Chemical Engineering Communications 204(6): 648–657. Taborda EA, Franco CA, Ruiz AM, Alvarado V, Cortés FB (2017) Experimental and Theoretical Study of Viscosity Reduction in Heavy Crude Oils by Addition of Nanoparticles. Energy Fuels 31(2): 1329–1338.

scholarly journals Extra-Heavy Crude Oil Viscosity Reduction Using and Reusing Magnetic Copper Ferrite Nanospheres

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 175
Author(s):  
Lucía Mateus ◽  
Esteban A. Taborda ◽  
Carlos Moreno-Castilla ◽  
María Victoria López-Ramón ◽  
Camilo A. Franco ◽  
...  
Keyword(s):  
Crude Oil ◽  
Heavy Oil ◽  
Solvothermal Method ◽  
Sio2 Nanoparticles ◽  
Viscosity Reduction ◽  
Copper Ferrite ◽  
Dynamic Rheology ◽  
Oil Viscosity ◽  
Fixed Concentration ◽  
Heavy Crude

The main objective of this study is the synthesis, use, and reuse of magnetic copper ferrite nanospheres (CFNS) for extra-heavy oil viscosity reduction. The CFNS were synthesized using a solvothermal method resulting in mean particle size of 150 nm. Interactions of CFNS with the crude oil were evaluated through asphaltene adsorption isotherms, as well as static and dynamic rheology measurements for two cycles at 25 °C. Adsorption and desorption experiments corroborated that most of the asphaltenes adsorbed can be removed for nanoparticle reuse. During the rheology tests, nanoparticles were evaluated in the first cycle at different concentrations from 300 to 1500 mg/L, leading to the highest degree of viscosity reduction of 18% at 500 mg/L. SiO2 nanoparticles were evaluated for comparison issues, obtaining similar results regarding the viscosity reduction. After measurements, the CFNS were removed with a magnet, washed with toluene, and further dried for the second cycle of viscosity reduction. Rheology tests were performed for a second time at a fixed concentration of 500 mg/L, and slight differences were observed regarding the first cycle. Finally, changes in the extra-heavy oil microstructure upon CFNS addition were observed according to the significant decrease in elastic and viscous moduli.

Sensitivity Analysis, Calibration and Uncertainty Quantification for Heavy Oil Viscosity Estimates with a Corresponding States Model

2020 ◽  
Author(s):  
Diego Volpatto ◽  
Lucas V. A. Oliveira ◽  
Sofia P. Bittencourt ◽  
Danilo Silva ◽  
Edson T. M. Manoel
Keyword(s):  
Sensitivity Analysis ◽  
Bayesian Approach ◽  
Heavy Oil ◽  
Corresponding States ◽  
Viscosity Model ◽  
Least Squares Regression ◽  
Oil Viscosity ◽  
Bayesian Calibration ◽  
Tuning Parameters ◽  
Sensitivity Assessment

The main goal of this work is to assess heavy oil viscosity estimates by a Corresponding States Principle (CSP) model using a Bayesian approach in an efficient way. To determine and select relevant parameters for model calibration, an enhanced Elementary Effects method is used to evaluate sensitivity measures of CSP tuning parameters. With the combination of sensitivity analysis and Bayesian calibration, a unified procedure to automatically tune CSP viscosity model while reducing the number of tuning parameters is devised. Moreover, the Bayesian approach provides additional information on CSP model uncertainties and credible regions inherited from experimental data. To evaluate such uncertainties in CSP viscosity model, it was used five heavy oil samples available in the literature. The viscosity curves constructed by 50th-percentile from Monte Carlo realizations for the CSP calibration show good agreement when compared with classical Least-Squares regression (deterministic), demonstrating the potential of the sensitivity assessment for both Bayesian and deterministic approaches. However, when Bayesian calibration is used, limitations of CSP viscosity estimates are detected through violation of credible regions, suggesting that heavy oil viscosity estimates for relatively low pressure conditions can be insufficiently accurate for the CSP model considered in this study

Upgrading of Heavy Oil in a Hydrothermal System in the Presence of Modified Aluminosilicates

2021 ◽  
Vol 627 (5) ◽  
pp. 9-13
Author(s):  
R. R. Zakieva ◽  
◽  
N. Yu. Bashkirtsev ◽  
S. M. Petrov ◽  
A. I. Lakhova ◽  
...  
Keyword(s):  
Heavy Oil ◽  
Superheated Steam ◽  
Heavy Crude Oil ◽  
Oil Viscosity ◽  
Iron Aluminum ◽  
Branched Alkanes ◽  
Heavy Crude ◽  
Twofold Decrease ◽  
Modified Aluminosilicates ◽  
High Octane

The results of upgrading heavy crude oil with a density of 0.9857 g/cm3 and a sulfur content of 3.6% wt. are presented. In an environment of superheated steam in the temperature range 355-375°C and pressures up to 14 MPa in the presence of iron-modified natural aluminosilicates. The use of modified aluminosilicates containing oxides of iron, aluminum and silicon in the process of upgrading heavy oil led to a twofold decrease in the content of resinous-asphaltene components in it. In addition, the upgrading process led to an increase in the content in light fractions, boiling up to a temperature of 300°C, of the converted oil of branched alkanes with a high octane number, as well as to a decrease in oil viscosity by 60%.

scholarly journals Enhanced Heavy Oil Recovery in Mild Conditions bySO42-/TiO2-ZrO2Solid Superacid Prepared by Different Methods

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Chen Li ◽  
Lu Su ◽  
Qiuye Li ◽  
Xiaodong Wang ◽  
Xiaohong Li ◽  
...  
Keyword(s):  
Catalytic Activity ◽  
Oil Recovery ◽  
Heavy Oil ◽  
Solid Acid Catalyst ◽  
Acid Catalyst ◽  
Oil Viscosity ◽  
Hydrocarbon Component ◽  
Heavy Crude ◽  
Adsorption Desorption

The important key of heavy oil efficient exploring is to decrease the viscosity and increase the flowability. Solid acid catalyst is one of the commonly used catalysts to reducing the viscosity of heavy oil, but good dispersion in oil phase and better catalytic activity are difficult to achieve. Herein, ZrO2-TiO2was selected as the fundamental catalyst because of its superior solid superacid properties, and CTAB was selected as the surfactant package coat to help enhance catalytic activity. The as-prepared catalysts were characterized systematically by TEM, XRD, FTIR, and N2adsorption-desorption isotherms measurement. The reduction efficiency of the heavy oil viscosity achieved as high as 66.3% at 180°C. At the same time, the portion of asphaltenes and resins slipped down by 4.93% and 3.78%, respectively, while saturated and aromatic hydrocarbon component increased by 5.37% and 3.26%, respectively, indicating that our catalyst showed a good activity for reducing the viscosity and improving the quality of heavy crude oil.

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