Prediction of Volumetric Properties and (Multi-) Phase Behaviour of Asphaltenic Crudes

Szewczyk, V.; Thomas, M. Joy; Béhar, E.

doi:10.2516/ogst:1998008

Cited by 11 publications

(13 citation statements)

References 11 publications

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“…With this procedure, asphaltenes are gradually precipitated out of solution as the polarity of the surrounding medium is changed. Other fractionation procedures have also been reported in the literature and, although the procedures vary, the characteristics of asphaltenes from different subfractions have been observed to be distinctly different [6][7][8][9][10][11][12][13][14]. It has, for example, been shown that the metal content and the dissolution rate of asphaltenes that were fractionated by methylene chloride/ n-pentane extraction varied depending on the subfraction studied [15].…”

Section: Introductionmentioning

confidence: 95%

Characterization of fractionated asphaltenes by UV–vis and NMR self-diffusion spectroscopy

Östlund

Wattana

Nydén

et al. 2004

Journal of Colloid and Interface Science

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Section: Introductionmentioning

confidence: 95%

Characterization of fractionated asphaltenes by UV–vis and NMR self-diffusion spectroscopy

Östlund

Wattana

Nydén

et al. 2004

Journal of Colloid and Interface Science

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“…The density, viscosity, and other properties of this phase for use in the compositional simulation are part of the computations. The fact that the asphaltene phase is not pure is supported by theoretical analysis and experimental data. − …”

Section: Numerical Modelmentioning

confidence: 83%

New Three-Phase Multicomponent Compositional Model for Asphaltene Precipitation during CO₂ Injection Using CPA-EOS

2016

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Numerical modeling of asphaltene precipitation in petroleum reservoirs is important in relation to possible precipitation around the wellbore in the producing well. Production from some reservoirs results in asphaltene precipitation in the wellbore region, leading to productivity loss and need for cleanup. Fluid injection even when there is asphaltene precipitation may not lead to injectivity loss. There are desirable processes in which precipitation of asphaltenes can lead to “in situ” upgrading of heavy oil recovery. Reservoir compositional models that are currently in use rely on cubic equations of state for asphaltene precipitation. The cubic equations, despite their relative reliability in describing reservoir fluids’ phase behavior, become unreliable in asphaltene-rich phase description. A number of noncubic equations of state have been introduced to overcome the shortcomings of cubic equations. The cubic-plus-association equation of state (CPA-EOS) is perhaps the method of choice in representing asphaltenes in compositional modeling. When the hydrocarbon fluids do not contain asphaltenes, CPA-EOS reduces to the standard cubic equation. In this work, we implement CPA-EOS in compositional modeling and introduce a simple technique to speed up considerably the root finding of the CPA-EOS. Our efficient algorithm reduces significantly the additional computational cost from the incorporation of the CPA-EOS. We also derive the basic equations for the total compressibility and total partial molar volume in our implementation of the CPA-EOS compositional modeling. We present three numerical examples for CO2 injection in 2D and 3D domains saturated with Weyburn oil and show results of asphaltene-rich phase saturation among other predictions. This work introduces a general framework for widespread use of CPA-EOS in compositional modeling in three-phase flows of gas, light liquid, and asphaltene-rich phases.

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“…R values in the range from 20 to 32 Å correspond to the aggregate radii of 32−51 Å (Table ) and are in line with spectroscopic observations for asphaltenic particles. , With these values and a 0 = 40 Å 2 we conclude that v R must lie in the interval 1000−1600 Å 3 . To the best of our knowledge, the only estimates of this latter quantity that can be made using the literature data are v R = 1167 Å 3 (ρ = 1.21 g/cm 3 , MW r = 850) 35 and v R = 1093 Å 3 (ρ = 1.013 g/cm 3 ; MW r = 665), both of them lying within the estimated interval. The center of this interval (i.e., v R ≅ v a ≅ 1300 Å 3 ) can be taken as a rough estimate for resin molecular volume.…”

Section: Distribution Of Aggregates Over Their Sizementioning

confidence: 83%

Thermodynamic Model of Petroleum Fluids Containing Polydisperse Asphaltene Aggregates

Victorov

Smirnova

1998

Ind. Eng. Chem. Res.

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New version of thermodynamic aggregation model of asphaltene-containing crude is formulated and analyzed with regard to characteristics of resin molecule shape and deformation of the resin shell of the asphaltene aggregates. The relation between the shape factors and elastic constants is discussed, and their effect on the size distribution of asphaltenic aggregates is considered. The model is applied to describe asphaltene precipitation from petroleum fluid upon its dilution with a liquid alkane. The effect of dilution on the asphaltene particle size distribution is studied. The model calculation has shown that the behavior of asphaltenic crude varies dramatically with the change of molecular characteristics of resins.

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Prediction of Volumetric Properties and (Multi-) Phase Behaviour of Asphaltenic Crudes

Cited by 11 publications

References 11 publications

Characterization of fractionated asphaltenes by UV–vis and NMR self-diffusion spectroscopy

Characterization of fractionated asphaltenes by UV–vis and NMR self-diffusion spectroscopy

New Three-Phase Multicomponent Compositional Model for Asphaltene Precipitation during CO₂ Injection Using CPA-EOS

Thermodynamic Model of Petroleum Fluids Containing Polydisperse Asphaltene Aggregates

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Prediction of Volumetric Properties and (Multi-) Phase Behaviour of Asphaltenic Crudes

Cited by 11 publications

References 11 publications

Characterization of fractionated asphaltenes by UV–vis and NMR self-diffusion spectroscopy

Characterization of fractionated asphaltenes by UV–vis and NMR self-diffusion spectroscopy

New Three-Phase Multicomponent Compositional Model for Asphaltene Precipitation during CO2 Injection Using CPA-EOS

Thermodynamic Model of Petroleum Fluids Containing Polydisperse Asphaltene Aggregates

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New Three-Phase Multicomponent Compositional Model for Asphaltene Precipitation during CO₂ Injection Using CPA-EOS