Compositional model for predicting asphaltenes flocculation

Szewczyk, V.; Béhar, E.

doi:10.1016/s0378-3812(99)00107-7

Cited by 22 publications

(20 citation statements)

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“…) greater than the fluid saturation pressure and that maximum flocculation occurs at the saturation pressure (Jamaluddin et al, 2001;Hammami et al, 2000;Jiang et al, 1990). Kabir and Jamaluddin (1999), Edmonds et al (1999), Szewczyk and Béhar (1999) determined experimentally the percentage of soluble asphaltenes in a reservoir fluid during depletion and obtained the graph shown on Figure 5, extracted from studies conducted by Kabir and Jamaluddin (1999). Jamaluddin et al (2001Jamaluddin et al ( , 1998) observe a slight pressure drop after which the flocculation point appears when the temperature increases (see Table 7) and a reduction in the quantities of flocculated asphaltenes (see Fig.…”

Section: Discussionmentioning

confidence: 99%

“…We will now give a brief description of the model developed at the Institut Français du Pétrole by Szewczyk and Béhar (1999). It belongs to the group of solubility models and is designed to satisfy three observations: -reversibility of the flocculation phenomenon; -flocculation considered as liquid-liquid demixing; -presence of all the oil constituents in the flocculated phase.…”

Section: The Szewczyk and Béhar Model And Its Integration In Athos Somentioning

confidence: 99%

“…The impact of adding a good/poor solvent is also discussed. The second part of this review is dedicated to modelling.We first examine the various models in the literature before describing the Szewczyk and Béhar (1999) model and its integration in a reservoir simulator. The models available still require experimental data which is difficult to collect and further research is needed to improve this situation.…”

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Characterisation of Asphaltenes and Modelling of Flocculation – State of the Art

Pina¹,

Mougin²,

Béhar³

2006

Oil & Gas Science and Technology - Rev. IFP

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Résumé -Caractérisation des asphaltènes et modélisation de la floculation -État de l'Art -Ce travail présente un état de l'art concernant la floculation des asphaltènes avec deux grands items : la caractérisation des asphaltènes dans différents milieux et la modélisation de la floculation. Cette revue commence par une caractérisation des asphaltènes proprement dite puis des caractérisations de ces derniers dans des solvants synthétiques ou des bruts. Nous insistons sur les techniques de détermination de masses molaires et de diffraction. L'incidence d'un ajout de bon/mauvais solvant est également discutée. La seconde partie de cette revue concerne la modélisation de la floculation. Elle examine les différents modèles de la littérature avant de présenter celui de Szewczyk et Béhar (1999) et son intégration dans un simulateur de réservoir. Les modèles disponibles requièrent encore des données expérimentales délicates à acquérir et un effort de recherche doit être réalisé pour améliorer cet état de fait. Abstract -Characterisation of Asphaltenes and Modelling of Flocculation -State of the Art -This document describes a state of the art concerning the flocculation of asphaltenes with two major sections: characterisation of asphaltenes in various environments and modelling of flocculation. This review starts with the characterisation of asphaltenes as such, then their characterisation in synthetic solvents or crudes. Emphasis is placed on molar mass determination and diffraction techniques. The impact of adding a good/poor solvent is also discussed. The second part of this review is dedicated to modelling.We first examine the various models in the literature before describing the Szewczyk and Béhar (1999) model and its integration in a reservoir simulator. The models available still require experimental data which is difficult to collect and further research is needed to improve this situation.Petroleum Industry Applications of Thermodynamics Applications de la thermodynamique dans l'industrie pétrolière

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Section: Discussionmentioning

confidence: 99%

Section: The Szewczyk and Béhar Model And Its Integration In Athos Somentioning

confidence: 99%

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confidence: 99%

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Characterisation of Asphaltenes and Modelling of Flocculation – State of the Art

Pina¹,

Mougin²,

Béhar³

2006

Oil & Gas Science and Technology - Rev. IFP

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“…Of the many thermodynamic approaches to modelling asphaltene precipitation (6) , the two most prevalent are equations of state (7)(8)(9) and regular solution theory (2,6,(10)(11)(12) . Cubic equations of state (CEOS) such as the Soave-Redlich-Kwong (SRK) (13) equation of state and the Peng-Robinson (PR) (14) equation of state are used to predict the phase behaviour of hydrocarbon gases and light hydrocarbon liquids.…”

Section: Introductionmentioning

confidence: 99%

Estimation of SARA Fraction Properties With the SRK EOS

Greaves

Ayatollahi

Moshfeghian

et al. 2004

Journal of Canadian Petroleum Technology

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One approach to modelling asphaltene solubility is regular solution theory. The key parameters for this approach are the molar volume and solubility parameters of each constituent. However, these parameters are largely unknown for crude oils. Some authors have used cubic equations of state (CEOS) to estimate the solubility parameters and molar volumes of solvents and C 7 + fractions, but CEOS have yet to be applied in this way to asphaltenes due to their high molar mass and unknown critical properties.In this work, a modified Soave-Redlich-Kwong EOS with the Peneloux correction is used to estimate the molar volumes and solubility parameter of the four solubility classes (saturates, aromatics, resins, and asphaltenes) of bitumens. The EOS is modified for the asphaltenes, which are assumed to be polymeric-like compounds consisting of aggregates of monodisperse asphaltene monomers. Correlations are developed for the critical properties and acentric factor of each solubility class. The EOS-predicted properties are tested against density measurements of SARA fractions from several bitumens. The predicted parameters are used to determine the onset of asphaltene precipitation from bitumen upon the addition of heptane and the predictions are compared with measured onsets.

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“…The qualitative and mechanistic understanding gained from these studies can be applied to the development of phase diagrams for systems of practical interest. However, it is important to recognize that the reversibility of phase behavior of some components particularly asphaltenes remains a subject of some debate (Szewczyk and Behar, 1999). 776 Shaw and Zou…”

Section: Development Of Predictive Deposition Tools 775mentioning

confidence: 99%

Challenges Inherent in the Development of Predictive Deposition Tools for Asphaltene Containing Hydrocarbon Fluids

Shaw

Zou

2004

Petroleum Science and Technology

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The correlation and prediction of deposit formation are at the core of flow assurance, risk assessment, and other reservoir fluid management issues and are equally important for heavy oil or bitumen partitioning and upgrading. Asphaltene deposition in particular is a key topic in both sectors. Hydrocarbons from condensaterich reservoir fluids to bitumen þ diluent mixtures share constituents, from asphaltenes and resins to pentane, and can all be classified as asymmetric from a phase behavior perspective. The phase diagrams for these asymmetric fluids are characterized by zone of fourphase behavior surrounded by three-phase and two-phase regions in both pressure-composition at constant temperature, and pressuretemperature at constant composition diagrams. Adherent asphaltenic ORDER REPRINTS solid and liquid deposits only arise within some multiphase zones. Zones such as the SL1, SL1V, L1L2V, and L1L2 are prone to the production of adherent asphaltenic deposits particularly when combined with intermittent or laminar flow. By incorporating incomplete approaches prevalent in both sectors into qualitative four component phase diagrams, one can illustrate key aspects of the phase diagrams for the entire range of fluids, as well as the challenges faced with respect to the prediction of specific phase behaviors. In this article we present and illustrate some of these challenges and propose a path toward their resolution.

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Compositional model for predicting asphaltenes flocculation

Cited by 22 publications

References 5 publications

Characterisation of Asphaltenes and Modelling of Flocculation – State of the Art

Characterisation of Asphaltenes and Modelling of Flocculation – State of the Art

Estimation of SARA Fraction Properties With the SRK EOS

Challenges Inherent in the Development of Predictive Deposition Tools for Asphaltene Containing Hydrocarbon Fluids

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