Modeling high‐pressure wax formation in petroleum fluids

Sansot, Jean-Marc; Pauly, Jérôme; Daridon, Jean-Luc; Coutinho, João A. P.

doi:10.1002/aic.10434

Cited by 26 publications

(29 citation statements)

References 39 publications

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“…In addition, the results for polar (symmetric and asymmetric) high pressure systems are at least as good as those of MHV2 and the WS mixing rules. Other researchers 75 have also applied LCVM with success, for example, in high pressure wax formation for petroleum fluids. Soon it became apparent that the success of LCVM could not be attributed to coincidence or cancellation of errors.…”

Section: Industrial and Engineering Chemistry Researchmentioning

confidence: 99%

Thirty Years with EoS/G^E Models—What Have We Learned?

Kontogeorgis

Coutsikos

2012

Ind. Eng. Chem. Res.

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Thirty years of research and the use of EoS/G E mixing rules in cubic equations of state are reviewed. The most popular approaches are presented both from the derivation and application points of view and they are compared to each other. It is shown that all methods have significant capabilities but also limitations which are discussed. A useful approach is presented for analyzing the models by looking at the activity coefficient expression derived from the equations of state using various mixing rules. The size-asymmetric systems are investigated in detail, and an explanation is provided on how EoS/G E mixing rules should be developed so that such asymmetric mixtures are adequately represented.

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Section: Industrial and Engineering Chemistry Researchmentioning

confidence: 99%

Thirty Years with EoS/G^E Models—What Have We Learned?

Kontogeorgis

Coutsikos

2012

Ind. Eng. Chem. Res.

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“…where β is a proportionality coefficient, assumed to be pressure-independent (β = 0.9 [21]), and γ iS is the solid activity coefficient, calculated from the predictive Wilson equation [35]; the interaction between molecule chain ends is taken into account by an adjustable bending parameter ξ [23], which is used to match the wax appearance temperature at low pressures. The total enthalpy can be written as the sum of two contributions, the ideal-gas enthalpy and the enthalpy departure,…”

Section: Thermodynamic Modelmentioning

confidence: 99%

“…The pressure effect has, thus, also to be well-described by a thermodynamic model in order to predict the risk of waxy solid deposits between bottom holes and surface facility conditions. Recently, the development of predictive local composition models for the description of wax formation in hydrocarbon fluids led to a highly successful tool for the simulation of wax formation in diesels, fuels, and dead and live oils [21][22][23][24][25].…”

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confidence: 99%

Joule–Thomson Inversion in Vapor–Liquid–Solid Solution Systems

2009

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Solid phase precipitation can greatly affect thermal effects in isenthalpic expansions; wax precipitation may occur in natural hydrocarbon systems in the range of operating conditions, the wax appearance temperature being significantly higher (as high as 350 K) for hyperbaric fluids. Recently, methods for calculating the Joule-Thomson inversion curve (JTIC) for two-phase mixtures, and for three-phase vapor-liquid-multisolid systems have been proposed. In this study, an approach for calculating the JTIC for the vapor-liquid-solid solution systems is presented. The JTIC is located by tracking extrema and angular points of enthalpy departure variations versus pressure at isothermal conditions. The proposed method is applied to several complex synthetic and naturally occurring hydrocarbon systems. The JTIC can exhibit several distinct branches (which may lie within two-or three-phase regions or follow phase boundaries), multiple inversion temperatures at fixed pressure, as well as multiple inversion pressures at given temperature.Keywords Equation of state · Inversion curve · Isenthalpic expansion · Joule-Thomson effect · Multiphase system · Solid precipitation · Wax List of Symbols a Attractive term in the cubic EoS, mixture a i Attractive term in the cubic EoS, component i b Co-volume in the cubic EoS, mixture b i Co-volume in the cubic EoS, component i f i Fugacity, component i

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“…The development of predictive local composition models for the description of wax formation in hydrocarbon fluids [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] lead to a highly successful tool for the description of wax formation in diesels and fuels [7][8][9][10]15,16] and dead and live oils [11,13,14,17,19]. Yet the time and experience of various users brought to light some limitations and some behaviors not always well understood.…”

Section: Introductionmentioning

confidence: 99%