Expanded fluid-based thermal conductivity model for hydrocarbons and crude oils

Ramos-Pallares, F.; Schoeggl, F. F.; Taylor, Shawn D.; Yarranton, Harvey W.

doi:10.1016/j.fuel.2018.03.060

Cited by 5 publications

(5 citation statements)

References 29 publications

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“…Ramos‐Pallares et al [ 71 ] adapted the full component phase partitioning (updated) model for crude oils characterized into pseudo‐components based on boiling point intervals. The pentane insoluble C5‐asphaltenes were characterized as described in section 3.1 except that 15 pseudo‐components were used.…”

Section: Modified Regular Solution Model: Updatesmentioning

confidence: 99%

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Regular solution theory applied to asphaltene related phase behaviour

Yarranton

Ramos-Pallares

2021

Can J Chem Eng

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Asphaltenes are the least soluble fraction of crude oil and they can phase separate from the oil upon a change in temperature, pressure, or composition. This phase separation, often described as precipitation, may be beneficial (eg, in a partial deasphalting process) or detrimental (eg, in pipeline and surface equipment fouling). A phase behaviour model that can predict the onset and amount of asphaltene precipitation and is compatible with process simulators is desirable for the design and operation of these processes. This brief review focuses on the regular solution modelling approach. The regular solution model is based on activity coefficients and therefore is well suited for liquid‐liquid phase separations such as asphaltene precipitation. The model and its internal correlations are presented and its performance on asphaltene phase separation from mixtures of heavy oils and solvent is demonstrated. Recent updates to this approach are presented and potential future applications are discussed. The strengths and limitations of this approach for oilfield applications are highlighted.

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Section: Modified Regular Solution Model: Updatesmentioning

confidence: 99%

“…Asphaltene and pitch* yields for seven other oils from different disparate geographical locations were matched with overall AAD, MAD, and bias of 2, 11, and 0.2 wt%, respectively. [ 71 ]…”

Section: Modified Regular Solution Model: Updatesmentioning

confidence: 99%

Regular solution theory applied to asphaltene related phase behaviour

Yarranton

Ramos-Pallares

2021

Can J Chem Eng

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“…Teja and Tarlneu introduced an effective carbon number concept to calculate the thermal conductivity of pure liquids and liquid mixtures. Ramos-Pallares et al , applied the expanded fluid theory to the thermal conductivity of defined and undefined hydrocarbon systems. Rokni et al used a residual entropy scaling based thermal conductivity correlation of Hopp and Gross and the Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) (EoS) …”

Section: Introductionmentioning

confidence: 99%

Friction Theory Model for Thermal Conductivity

2021

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Thermal conductivity is an important transport property in nonequilibrium processes, for example, heat transfer between bodies. Compared to viscosity, there are relatively few experimental studies, and a model of engineering accuracy is needed to calculate the thermal conductivity in the absence of these experiments. This model also needs to apply to mixtures at conditions relevant to industrial processes. Numerous thermal conductivity correlations are available in the literature. However, most of them are for specific single fluids and cannot be extended to the prediction of mixture thermal conductivity. A new approach of a general nature, based on nonequilibrium properties and a common cubic equation of state, is presented in this investigation. This new approach delivers accurate and straightforward wide-range correlations for pure compounds and good predictions of mixture thermal conductivity (based on the studied test cases).

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“…The accuracy of these CFD models depends on accurate representation of the thermophysical fuel properties, especially viscosity and thermal conductivity, often up to extreme pressure conditions. Various viscosity [1,11,12] and thermal conductivity [2,13,14] models have been proposed for fuels in the literature. These models range from empirical [15][16][17][18][19][20][21][22] to mixture [23] and pseudo-component models [1,2,13,14,[24][25][26][27][28][29][30][31][32][33][34][35], such as expanded fluid theory (EFT) [13,14,[25][26][27][28], friction theory (FT) [29][30][31][32][33], and free volume theory (FVT) [34,35].…”

Section: Introductionmentioning

confidence: 99%