Organic Deposition From Reservoir Fluids: A Thermodynamic Predictive Technique

Kawanaka, Seido; Park, S.J.; Mansoori, G. Ali

doi:10.2118/17376-pa

Cited by 202 publications

(138 citation statements)

References 21 publications

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“…Since then, various modifications have been made to this approach: Mansoori and Jiang (1985) and Kawanaka et al (1991) proposed a form allowing a polydispersity of asphaltene molecules to be considered. In their approaches, the Flory-Huggins model is replaced by the Scott and Magat model, to take into account a polydiversity of asphaltenes.…”

Section: Solubility Modelsmentioning

confidence: 99%

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: Solubility Modelsmentioning

confidence: 99%

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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“…In the literature, there are several approaches for modeling asphaltene precipitation such as solid model, thermodynamic solubility model [9] [10] [11] [12] [13], thermodynamic colloidal model [14], and thermodynamic miscellization model [15]. In this work, we used solid model which can be described as below.…”

Section: Effect Of Pressure Changementioning

confidence: 99%

Investigation of Asphaltene Deposition and Precipitation in Production Tubing

Rastgoo¹,

Kharrat²

2017

IJCCE

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Asphaltenes are complex molecular entities, which together with resins, aromatic hydrocarbons and saturates forms the crude oil. Asphaltenes and resins are in the thermodynamic equilibrium at static reservoir condition. However, asphaltene can precipitate due to changes in thermodynamic condition. Asphaltene deposition in production tubings has been an outstanding problem with wide economic impact on the oil industry. Meanwhile, the use of real-time tools to monitor depositions along the well is of great difficulty. In this work, the asphaltene precipitation region in a single phase flow wellbore is predicted for an oil well of the Iranian oil field. Then, asphaltene deposition thickness along the well is predicted for three time intervals. The simulation results indicated that asphaltene thickness exceeded more than 50% of tubing radius; therefore, a reduction in flow rate, an increase in pressure drop and tubing blockage are expected. Moreover, it is shown the deposits thickness along the wellbore has approximately a skew normal distribution shape, which could be the result of increases in velocity and excess pressure drop.

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“…70 Mansoori and Jiang 71 were the first to apply Scott and Magat theory to formulate a model for predicting asphaltene precipitation. Kawanka et al 72 …”

Section: Kawanaka Et Al (Scott-magat Approach)mentioning

confidence: 99%

Asphaltene Precipitation Models: A Review

Subramanian

Simon

Sjöblom

2015

Journal of Dispersion Science and Technology

109

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Asphaltenes are the heaviest and the most polar fraction of crude oil and are defined as a solubility class (typically soluble in toluene but insoluble in n-alkanes like n-heptane).Precipitation and deposition of asphaltenes during production, processing and transportation of oil is a major challenge faced by oil industry. Over the last thirty years, a number of different models have been proposed for predicting the onset of asphaltene precipitation and also the amount of precipitated asphaltenes. This article reviews the different models that have been proposed for predicting asphaltene precipitation either at atmospheric pressure or under depressurization. A brief summary of the different modeling approaches is presented followed by description of work done by different research groups. Our focus will be on the description of the basic assumptions underlying different models and also the ability/performance of the model to match the experimental data. Finally, a comparison of models is presented and discussed along with suggestions for improvement. Keywords:Asphaltene precipitation, Thermodynamic models, Solubility models, Equation of state models, Colloidal models INTRODUCTIONAsphaltenes are considered to represent the most polar and the heaviest components in crude oil. 1 They are a solubility class and defined as the fraction that is insoluble in n-alkane (like n-heptane) but soluble in aromatic solvents (like toluene). [2][3] The precipitation and deposition of asphaltenes during production and transport of crude oil is recognized as a serious problem in the oil industry since it can lead to formation damage, plugging of wellbores and production facilities. [4][5] Asphaltene precipitation can be encountered during primary recovery of oil as well as during enhanced oil recovery operations like miscible flooding with CO 2 or natural gas. 6The precipitation of asphaltenes occurs due to a number of reasons. These include changes in pressure, temperature, chemical composition of crude oils, acid stimulation, mixing of oil with diluents, other oil and gas components like CO 2 . 4 Heavy crudes usually have a lower tendency to give asphaltene deposition problems inspite of their higher asphaltene content.This observation is normally attributed to their higher resin content and lower saturate content. 7Asphaltenes are generally assumed to be composed of fused ring aromaticity, small aliphatic side chains and heteroatom functional groups. 8 The molecular weight of asphaltenes has been a source of controversy for a very long time. 9 It is now recognized to be close to 750 g/mol with a factor of 2 in the width of the molecular weight distribution. Solubility ApproachThe solubility models are most commonly used for predicting asphaltene precipitation. These models make use of the concept of solubility parameter and assume that petroleum crude Models based on Solution theory and Flory-Huggins theory assume that asphaltenes have homogenous structure and properties while models based on Scott-Magat theory assum...

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Organic Deposition From Reservoir Fluids: A Thermodynamic Predictive Technique

Cited by 202 publications

References 21 publications

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

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

Investigation of Asphaltene Deposition and Precipitation in Production Tubing

Asphaltene Precipitation Models: A Review

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