Modeling of Asphaltene Precipitation from Crude Oil with the Cubic Plus Association Equation of State

Arya, Alay; Solms, Nicolas von; Kontogeorgis, Georgios M.

doi:10.1021/acs.energyfuels.6b02767

Cited by 26 publications

(32 citation statements)

References 28 publications

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“…Hence, only the asphaltene monomer properties were defined. The asphaltene monomer molecular weight was set to 800 g/mol [12,16,38] and the monomer critical properties and acentric factor were obtained from Arya et al [27,28].…”

Section: Oil Characterization: Pseudo-components (Dataset 1)mentioning

confidence: 99%

“…The selfassociation volume parameters for the maltenes and solvents were all set to zero because they do not self-associate. The cross-association volume parameters for asphaltene/asphaltene, asphaltene/maltene, and asphaltene/solvent pseudo-pairs were all set to 0.05 as recommended by Arya et al [28]. from the Elliot mixing rule (Eq.…”

Section: Cpa Association Volume Parametersmentioning

confidence: 99%

“…These three energy parameters were adjusted to fit the CPA-EoS to asphaltene precipitation data as described below. There is not a unique set of energy parameters that fit the data; hence, they were constrained within the physically reasonable range from 500 K to 7500 K as recommended by Arya et al [28]. The parameters were optimized manually by setting the self-association parameter and optimizing the cross-association parameters.…”

Section: Cpa Association Volume Parametersmentioning

confidence: 99%

“…The self-association term within the SAFT model was not required or used in these studies. Similarly, CPA was used to model the onset of asphaltene precipitation during the depressurization of live oils with and without gas injection [26][27][28][29][30], and the onset and yield for n-alkane diluted bitumens [31]. The asphaltene self-association term of the CPA was used in these studies and was tuned to match onset and yields.…”

Section: Introductionmentioning

confidence: 99%

“…Two different characterization approaches were proposed, CPA-C5 and CPA-C3, where "C5" and "C3" denote the material insoluble in n-pentane and propane, respectively; that is, asphaltenes. The CPA-C5 approach is similar to previous characterizations [28]. The CPA-C3 approach was proposed because the CPA-C5 approach was unable to fit asphaltene yield data from propane diluted bitumen.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the phase behaviour of bitumen/n-alkane systems with the cubic plus association (CPA) equation of state

Zhang

Arya

Kontogeorgis

et al. 2019

Fluid Phase Equilibria

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The cubic-plus-association equation of state was applied to model the phase behaviour of bitumen/n-alkane systems including saturation pressures, liquid-liquid boundaries, yields, and phase compositions. Yield is defined here as the mass of bitumen in the heavy phase divided by the mass of bitumen in the feed. To implement the model, the bitumen was divided into a set of pseudo-components based on a distillation assay and either the n-pentane insoluble content of the oil (CPA-C5 approach) or the propane insoluble content (CPA-C3 approach). The pseudocomponents in the solvent insoluble part of the oil were defined as self-associating components, all other pseudo-components were non-associating. The critical properties and acentric factor for each pseudo-component were determined from established correlations. A set of CPA parameters was then developed to fit the available phase behavior data. The self-associating pseudocomponents were assigned a distribution of self-association energies in order to capture the sequential partitioning of asphaltenes to the heavy phase upon solvent addition or in different solvents.Both approaches matched the phase behavior data for mixtures of bitumen with n-pentane and higher carbon number n-alkanes almost to within the experimental error. The CPA-C3 approach also matched the phase behavior data for mixtures of propane and bitumen. The CPA-C5 approach could not match the yield data for propane diluted bitumen but was more straightforward to implement and was less computationally intensive because it employed fewer self-associating components. To apply either approach to another oil, only the self-association energy of the selfassociating pseudo-components need be adjusted. The cross-association energy between the solvent and the self-associating pseudo-components must be tuned for any new solvent.

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Section: Oil Characterization: Pseudo-components (Dataset 1)mentioning

confidence: 99%

Section: Cpa Association Volume Parametersmentioning

confidence: 99%

Section: Cpa Association Volume Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling the phase behaviour of bitumen/n-alkane systems with the cubic plus association (CPA) equation of state

Zhang

Arya

Kontogeorgis

et al. 2019

Fluid Phase Equilibria

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Successful approach to mitigate the asphaltenes precipitation problems in ESP oil wells

Abdelazim¹,

Ela

El-Banbi

et al. 2021

J Petrol Explor Prod Technol

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This study introduces a comprehensive and cost-effective approach to diagnose and treat the asphaltenes precipitation problems in different downhole conditions. The proposed approach has been successfully applied in two oil wells (Well-I, and Well-II) located in the Western Desert of Egypt. The two wells produce oil of moderate to high oil gravity with low asphaltenes content using Electrical Submersible Pumps (ESP). In such operating conditions, solid deposits caused blockage at the pump intake and within the pumping stages in the two wells. This blockage led to a sharp decrease in oil production rate and a significant increase in the operating cost. The existing failure analysis procedure was not able to accurately identify the reasons for the blockage; accordingly, the treatment operations were unsuccessful. On the contrary, applying the proposed approach accurately (1) identified the type of the solid deposits, (2) solved the problem using proper treatment option with minimum cost, and (3) improved the oil production rate. The laboratory tests of the fluid and solid deposits showed that (1) the asphaltenes were unstable in the crude oil and acted as a glue for other minerals, and (2) the blockage was successfully diagnosed to confirm that the two wells had asphaltenes precipitation problem. The laboratory tests were extended to select optimum asphaltene dispersant for wells treatments. The field application results showed a significant increase in the oil production rate from 700 to 1600 STB/D in Well-I and from 470 to 1500 STB/D in Well-II. Moreover, the operating cost decreased considerably from 2.01 to 0.43 $/STB in Well-I, and from 4.37 to 0.52 $/STB in Well-II after applying the proposed approach.

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An effective asphaltene precipitation modeling approach using PC-SAFT with detailed fluid descriptions for gas injection conditions

Nazari

Assareh

2021

Fluid Phase Equilibria

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Modeling of Asphaltene Precipitation from Crude Oil with the Cubic Plus Association Equation of State

Cited by 26 publications

References 28 publications

Modeling the phase behaviour of bitumen/n-alkane systems with the cubic plus association (CPA) equation of state

Modeling the phase behaviour of bitumen/n-alkane systems with the cubic plus association (CPA) equation of state

Successful approach to mitigate the asphaltenes precipitation problems in ESP oil wells

An effective asphaltene precipitation modeling approach using PC-SAFT with detailed fluid descriptions for gas injection conditions

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