Inhibition of asphaltene precipitation using hydrophobic deep eutectic solvents and ionic liquid

Sanati, Ali; Malayeri, M.R.; Busse, Oliver; Weigand, Jan J.

doi:10.1016/j.molliq.2021.116100

Cited by 36 publications

(26 citation statements)

References 48 publications

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“…Additionally, the combination of ILs and DESs can add benefits of both chemicals, such as the hydrophobic attraction of ILs to asphaltenes via their alkyl tail and the electron transfer ability of DESs with asphaltenes, to the asphaltene inhibition systems. In this regard, the idea of combining ILs and DESs was investigated, for the first time, in recent papers published by the present authors in which the efficacy of an IL-based HDES, methyltrioctylammonium chloride:glycerol (1:2), as asphaltene precipitation inhibitor was characterized. , It should be pointed out that this HDES was screened out of several HDESs and ILs which their performance against only inhibition of precipitation has been reported. , This study discerns the application of the same HDES as a green inhibitor , of asphaltene deposition on a dolomite rock surface from a surface energy viewpoint. As far as the present authors are aware, there are no other studies concerning asphaltene deposition from a surface energy perspective using the concept of extended DLVO (XDLVO) theory.…”

Section: Introductionmentioning

confidence: 83%

“…IL-based HDES, methyltrioctylammonium chloride:glycerol (1:2), was prepared by mixing methyltrioctylammonium chloride (Aliquat 336) (≥98%, Acros Organics, USA) as IL with glycerol (≥99 wt %, Sigma-Aldrich) at a specified temperature (90 °C) until a transparent liquid was formed . The prepared HDES could be considered environmentally friendly since it is nontoxic, biodegradable, with no bioaccumulation; hence it can be called a green inhibitor. ,,, Figure shows the chemical structure of HDES. The synthesized HDES showed strong hydrophobic properties, as discussed in other studies. , …”

Section: Methodsmentioning

confidence: 99%

“…9 The prepared HDES could be considered environmentally friendly since it is nontoxic, biodegradable, with no bioaccumulation; 22 hence it can be called a green inhibitor. 9,19,20,23 Figure 1 shows the chemical structure of HDES. The synthesized HDES showed strong hydrophobic properties, as discussed in other studies.…”

Section: Methodsmentioning

confidence: 99%

“…In this regard, the idea of combining ILs and DESs was investigated, for the first time, in recent papers published by the present authors in which the efficacy of an IL-based HDES, methyltrioctylammonium chloride:glycerol (1:2), as asphaltene precipitation inhibitor was characterized. 9,19 It should be pointed out that this HDES was screened out of several HDESs and ILs which their performance against only inhibition of precipitation has been reported. 9,19 This study discerns the application of the same HDES as a green inhibitor 9,20 of asphaltene deposition on a dolomite rock surface from a surface energy viewpoint.…”

Section: Introductionmentioning

confidence: 99%

“…9,19 It should be pointed out that this HDES was screened out of several HDESs and ILs which their performance against only inhibition of precipitation has been reported. 9,19 This study discerns the application of the same HDES as a green inhibitor 9,20 of asphaltene deposition on a dolomite rock surface from a surface energy viewpoint. As far as the present authors are aware, there are no other studies concerning asphaltene deposition from a surface energy perspective using the concept of extended DLVO (XDLVO) theory.…”

Section: Introductionmentioning

confidence: 99%

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Study of Asphaltene Deposition in the Presence of a Hydrophobic Deep Eutectic Solvent Using XDLVO Theory

et al. 2021

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This study aims to theoretically investigate the performance of an ionic liquid-based hydrophobic deep eutectic solvent (HDES), methyltrioctylammonium chloride:glycerol (1:2), as an asphaltene deposition inhibitor. To do so, the concept of surface energy was implemented by applying the extended DLVO (Derjaguin–Landau–Verwey–Overbeek) theory. Accordingly, the impact of surface energy components in terms of electrostatic (EL), acid–base (AB), Lifshitz–van der Waals (LW), and Brownian (Br) interactions on the deposition process has been examined. In addition, the works of cohesion and adhesion between different interacting bodies involved in the deposition process have been determined. The results revealed that AB interactions played an essential role in the inhibition of asphaltene deposition by reducing the propensity of asphaltene toward the dolomite surface. The total interaction energy also showed that the presence of HDES would take the interaction energy of asphaltene-dolomite from attraction toward the repulsive state as much as 125%. Furthermore, the calculated works of cohesion/adhesion proved that the addition of HDES to the model oil could retard asphaltene particles’ cohesion, thus preventing them from aggregation and subsequent deposition onto the dolomite surface. It was also shown that HDES, dissolved in the model oil, would primarily be attracted by asphaltene rather than its own molecules, hence producing HDES-asphaltene conjugates in the medium. Finally, the lower affinity of asphaltenes toward the dolomite surface in the presence of HDES was confirmed using the work of adhesion. The theoretical approach, proposed in this study, can provide a guideline to evaluate the intermolecular interactions between interacting bodies during the asphaltene deposition process, including asphaltene, inhibitor, reservoir rock, and oleic medium.

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Section: Introductionmentioning

confidence: 83%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Study of Asphaltene Deposition in the Presence of a Hydrophobic Deep Eutectic Solvent Using XDLVO Theory

et al. 2021

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Controlling the asphaltene precipitation behaviors by changing the position and number of nitrogen in the aromatic heterocyclic pendant of polymers with the assistance of DFT calculations

Jia,

Sun,

Wei

et al. 2024

J of Applied Polymer Sci

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As the largest component in crude oil, asphaltenes are apt to settle out and result in the blockage of pipeline during production and transportation, which largely reduces the safety and economic benefits. In this study, a series of poly(maleic anhydride‐octadecene)s (PMO) amidated by pyrimidine (MD), pyrazine (BQ), pyrazole (BZ), triazole (3DZ), triazine (6J3Q), phenyl triazine (6B3Q) and pyrazolo pyridine (ZBD) were synthesized. The interaction energies between the different polymers and asphaltene were calculated by using density functional theory (DFT). It shows that the greater the number of nitrogen‐containing groups and rings, the higher the interaction energy. Moreover, the position of the nitrogen on the aromatic ring also impacts the interaction energy. The interaction energy between asphaltene and polymer with adjacent N (PMO‐BZ) is larger than that with para‐N (PMO‐BQ) and interstitial N (PMO‐MD). In addition, the performance of polymers on asphaltene precipitation from model oil and crude oil is explored by UV–Vis spectroscopy, turbidity, dynamic light scattering (DLS) and rheological methods. The performance of polymers follows the sequence of PMO‐BZ > PMO‐6J3Q > PMO‐BQ > PMO‐MD > PMO‐6B3Q > PMO‐ZBD, which is not consistent with the change of interaction energy. Apparently, the efficiency of the polymer increases and then declines with the increase of interaction energy. Notably, the polymer (PMO‐BZ) containing monocyclic ring with adjacent N increased the IPP of asphaltenes from 0.363 to 0.800 and reduced the particle size from 1527.2 to 99.7 nm. The interaction energies of PMO‐BZ and PMO‐6J3Q with asphaltene are in the range of 15.87–17.04 KJ/mol, and the polymers with interaction energies in this range are more effective on asphaltene inhibition than the others. Consequently, the interaction energies obtained from DFT calculations can be used to guide the design and synthesis of polymers with nitrogen‐containing heterocyclic pendant for asphaltene inhibition.

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Prediction of asphaltene adsorption capacity of clay minerals using machine learning

et al. 2022

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A thorough understanding of asphaltene adsorption on clay minerals is particularly important in oil production and contaminated soil remediation using claybased adsorbents. In this paper, we introduced a machine learning approach as a reliable alternative for commonly used adsorption isotherms that suffer from inherent limitations in the prediction of asphaltene adsorption onto clay minerals. Machine learning (ML) models, namely multilayer perceptron (MLP), support vector machine (SVM), decision tree (DT), random forest (RF), and committee machine intelligent system (CMIS) combined with two optimizers were used. Experimental data (142 data points for six different clay minerals) was used for the modelling. To improve the accuracy of the smart models, a comprehensive data preparation such as outlier removal and feature selection was carried out. The results showed that relatively all the proposed models predict asphaltene adsorption on clay minerals with acceptable precision. Nevertheless, the MLP model showed superior performance compared with other models in which the overall root mean square error (RMSE) and coefficient of determination (R 2 ) values of 6.72 and 0.93 were obtained, respectively. Finally, the developed MLP model was compared with the well-known adsorption isotherms of Langmuir and Freundlich and exhibited superior performance.

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Inhibition of asphaltene precipitation using hydrophobic deep eutectic solvents and ionic liquid

Cited by 36 publications

References 48 publications

Study of Asphaltene Deposition in the Presence of a Hydrophobic Deep Eutectic Solvent Using XDLVO Theory

Study of Asphaltene Deposition in the Presence of a Hydrophobic Deep Eutectic Solvent Using XDLVO Theory

Controlling the asphaltene precipitation behaviors by changing the position and number of nitrogen in the aromatic heterocyclic pendant of polymers with the assistance of DFT calculations

Prediction of asphaltene adsorption capacity of clay minerals using machine learning

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