On the Viscosity of Natural Gases from Qatari North Field Reservoir

Aparício, Santiago; Iglesias‐Silva, Gustavo A.; El‐Halwagi, Mahmoud M.; Hall, Kenneth R.

doi:10.1021/je100673w

Cited by 19 publications

(10 citation statements)

References 40 publications

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“…: EF-V1 (gray crosses), EF-V2 (brown crosses). Values from Atilhan et al: , SUPERTRAPP (orange crosses), CLS , (lime crosses), LBC (blue-violet cross), Pedersen , (black dots). Residual entropy scaling approach of Novak (blue dots).…”

Section: Resultsmentioning

confidence: 99%

A Residual Entropy Scaling Approach for Viscosity Based on the GERG-2008 Equation of State

Mairhofer

2021

Ind. Eng. Chem. Res.

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A simple model for viscosity based on residual entropy scaling is proposed in this study. The thermodynamic model applied to calculate residual entropy is the Groupe Europeén de Recherches Gazieres (GERG) 2008 equation of state. Dimensionless pure-component viscosity as a function of residual entropy is correlated by a third-order polynomial. The component specific coefficients of the polynomial are adjusted to pure-component viscosity data. Averaged over all pure-component data points, deviation accounts to only 3.21%. Viscosity for mixtures is predicted by using the mole fraction weighted average of the purecomponent coefficients in the polynomial. Excellent results are obtained for natural gas mixtures. The averaged deviation for all 2021 evaluated natural gas data points is as low as 3.09%. Compared to alternative mixture viscosity models, this purely predictive approach is among the best performing models for most studied natural gas mixtures and sour gas samples. The proposed approach is not limited to natural gas viscosity, that is, methane-rich multi-component systems. Accurate predictions are also presented for binary and ternary mixtures over wide temperature and pressure ranges.

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Section: Resultsmentioning

confidence: 99%

A Residual Entropy Scaling Approach for Viscosity Based on the GERG-2008 Equation of State

Mairhofer

2021

Ind. Eng. Chem. Res.

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“…In the present study, a total of 2485 experimental data points for 22 different natural gases covering a wide range of experimental conditions were gathered from the open literature. ,,− These data include the gas composition, molecular weight and specific gravity of the C 7+ , experimentally measured gas viscosity, pressures, and temperatures. These measurements cover a pressure range from 0.09 to 172.37 MPa and a temperature range from 241.09 to 455.37 K, as summarized in Table .…”

Section: Model Developmentmentioning

confidence: 99%

State-of-the-Art Least Square Support Vector Machine Application for Accurate Determination of Natural Gas Viscosity

Fayazi

Arabloo

Shokrollahi

et al. 2013

Ind. Eng. Chem. Res.

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Estimation of the viscosity of naturally occurring petroleum gases is essential to provide more accurate analysis of gas reservoir engineering problems. In this study, a new soft computing approach, namely, least square support vector machine (LSSVM) modeling, optimized with a coupled simulated annealing technique was applied for estimation of the natural gas viscosities at different temperature and pressure conditions. This model was developed based on 2485 viscosity data sets of 22 gas mixtures. The model predictions showed an average absolute relative error of 0.26% and a correlation coefficient of 0.99. The results of the proposed model were also compared with the well-known predictive models/correlations available in the literature. It has been observed that the proposed model correctly captures the physical trend of changing the natural gas viscosity as a function of the temperature and pressure. Finally, sensitivity analysis was performed to assess the effect of the gas viscosity uncertainty on the cumulative gas production for a synthetic natural gas reservoir, using a numerical reservoir simulation. Results revealed that applications of LSSVM modeling can lead to a more accurate and reliable estimation of the gas viscosity over a wide range of reservoir conditions.

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“…Therefore, systematic studies on natural gas viscosity has to be carried out in wide pressuretemperature ranges and as a function of mixture compositions, for selected mixtures representative of key reservoirs. Our group is involved in a multilaboratory international research project in which natural gas viscosity is measured, and other relevant thermophysical properties, using state-of-the-art equipments [31,32]. As a result of our research, we report in this section a detailed analysis of the available experimental methods for measurement of natural gas viscosity.…”

Section: Introductionmentioning

confidence: 99%