The Corresponding States Viscosity Model Applied to Heavy Oil Systems

2003 ◽  
Author(s):  
N. Lindeloff ◽  
K. Schou Pedersen ◽  
H.P. Ronningsen ◽  
J. Milter
Keyword(s):  
Heavy Oil ◽  
Corresponding States ◽  
Viscosity Model

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

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

The Corresponding States Viscosity Model Applied to Heavy Oil Systems

2004 ◽  
Vol 43 (09) ◽  
Author(s):  
N. Lindeloff ◽  
K.S. Pedersen ◽  
H.P. Ronningsen ◽  
J. Milter
Keyword(s):  
Heavy Oil ◽  
Corresponding States ◽  
Viscosity Model

scholarly journals Prediction of Surface Tension of Heavy Oil Based on Principle of Corresponding States Combined with Detailed Composition and Molecular Structure Analysis

2020 ◽  
Vol 99 (7) ◽  
pp. 75-81
Author(s):  
Yuichi MUKAWA ◽  
Koshiro YAMAGIWA ◽  
Eita SHOJI ◽  
Masaki KUBO ◽  
Takao TSUKADA ◽  
...  
Keyword(s):  
Molecular Structure ◽  
Surface Tension ◽  
Structure Analysis ◽  
Heavy Oil ◽  
Corresponding States ◽  
Detailed Composition ◽  
Molecular Structure Analysis

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

2021 ◽  
Author(s):  
Diego Volpatto ◽  
Lucas Oliveira ◽  
Sofia Bittencourt ◽  
Danilo Silva ◽  
Edson Manoel ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Uncertainty Quantification ◽  
Heavy Oil ◽  
Corresponding States ◽  
Oil Viscosity

A corresponding states predictive viscosity model based on a new scaling parameter: application to hydrocarbons, halocarbons and mixtures

2001 ◽  
Vol 26 (1) ◽  
pp. 1-26 ◽  
Author(s):  
G. Scalabrin ◽  
G. Cristofoli ◽  
M. Grigiante
Keyword(s):  
Corresponding States ◽  
Viscosity Model ◽  
Scaling Parameter ◽  
Model Based

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

Predictive Corresponding-States Viscosity Model for the Entire Fluid Region: n-Alkanes

2013 ◽  
Vol 52 (20) ◽  
pp. 6841-6847 ◽  
Author(s):  
Lawrence T. Novak
Keyword(s):  
Corresponding States ◽  
Viscosity Model

Viscosity model of heavy oil with calibration of shear velocity data

2009 ◽  
Author(s):  
De‐hua Han ◽  
Jiajin Liu ◽  
Michael Batzle
Keyword(s):  
Heavy Oil ◽  
Shear Velocity ◽  
Viscosity Model ◽  
Velocity Data

Correction to “Predictive Corresponding-States Viscosity Model for the Entire Fluid Region: n-Alkanes”

2013 ◽  
Vol 52 (38) ◽  
pp. 13886-13886 ◽  
Author(s):  
Lawrence T. Novak
Keyword(s):  
Corresponding States ◽  
Viscosity Model
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