The role of Gemini surfactant and SiO2/SnO/Ni2O3 nanoparticles as flow improver of Malaysian crude oil

Vijayakumar, Shamala Devi; Zakaria, Junaidi; Ridzuan, Norida

doi:10.1016/j.jksues.2021.03.009

Cited by 8 publications

(9 citation statements)

References 29 publications

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“…Low nanoparticle concentration guarantees high dispersion and hence superior availability of surface-active sites for the interaction of the wax fractions within the nanomaterials . The increase in the nanoparticle concentration is associated with an increase in the particle packing factor causing nanoparticle aggregation and reducing the interaction energy among the wax crystals . The aggregation of nanoparticles leads to a reduction in the effective surface area of the nanomaterials and thus affects the interaction with the wax crystals, showing no improvement in the WAT value.…”

Section: Resultsmentioning

confidence: 99%

SiO₂-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines

López,

Ríos,

Marín

et al. 2023

ACS Omega

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Wax deposition in high-wax (waxy) crude oil has been an important challenge in the oil and gas industry due to the repercussions in flow assurance during oil extraction and transportation. However, the nanotechnology has emerged as a potential solution for the optimization of conventional wax removal and/or inhibition processes due to its exceptional performance in the alteration of wax morphology and co-crystallization behavior. In this sense, this study aims to study the performance of two commercial wax inhibitor treatments (WT1 and WT2) on the wax formation and crystallization due to the addition of SiO 2 nanoparticles. Differential scanning calorimetry experiments and cold finger tests were carried out to study the effect of the WT on wax appearance temperature (WAT) and the wax inhibition efficiency (WIE) in a scenario with an initial temperature difference. In the first stage, the behavior of both WT in the inhibition of wax deposition was achieved, ranging in the concentration of the WT in the waxy crude (WC) oil from 5000 to 50,000 mg•L −1 . Then, NanoWT was prepared by the addition of SiO 2 nanoparticles on WT1 and WT2 for concentrations between 1000 and 500 mg•L −1 , and the performance of the prepared NanoWT was studied at the best concentration of WIT in the absence of nanoparticles. Finally, the role of the nanofluid concentration in wax inhibition was accomplished for the best NanoWT. Selected NanoWT with nanoparticle dosage of 100 mg•L −1 added to WC oil at 5000 mg•L −1 displays reductions in WAT and WIE of 15.3 and 71.6 for NanoWT1 and −2.2 and 42.5% for NanoWT2. In flow loop experiments for the crude oil at temperatures above (30 °C) and below (16 °C), the WAT value indicates an increase of 8.3 times the pressure drops when the crude oil is flowing at a temperature below the WAT value. Therefore, when NanoWT1 is added to the crude oil, a reduction of 31.8% was found in the pressure drop in comparison with the scenario below the WAT value, ensuring the flow assurance in the pipeline in an unfavorable environment. Based on the pressure-drop method, a reduction greater than 5% in the wax deposit thickness confirms the wax deposition inhibitory character of the designed NanoWT.

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Section: Resultsmentioning

confidence: 99%

SiO₂-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines

López,

Ríos,

Marín

et al. 2023

ACS Omega

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“…In addition, nanoparticles further improve the behaviour of wax crystallization and reduce the structural strength of waxy crude oil at minimum temperature. The addition of the nanoparticle to the PPD plays a notable role in changing the solubility of the wax crystals in the fluid (Makwashi et al 2021;Vakili et al 2021;VijayaKumar et al 2021). Further studies have been performed to obtain the optimum concentration combination for the wax inhibitor selected.…”

Section: Effect Of Saba Concentration/sio2 Concentration On the Wax Depositionmentioning

confidence: 99%

“…In addition, it alters the crystallization of wax, impeding growing wax deposition by as long as most of the structures overlap and combine with the wax crystal brink. Meanwhile, various concentrations of PPD can be affected by the van der Waals interaction between crystals of wax in the fluid, which principally sets the crystallinity of wax in crude oil (Li et al 2021;VijayaKumar et al 2021).…”

Section: Effect Of Saba Concentration/sio2 Concentration On the Wax Depositionmentioning

confidence: 99%

Application of full factorial design to screen the factors influencing the wax deposition of Malaysian crude oil

Elarbe

Elganidi

Ridzuan

et al. 2021

J Petrol Explor Prod Technol

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Wax deposition in production pipelines and transportation tubing from offshore to onshore is critical in the petroleum industry due to low-temperature conditions. The most significant popular approach to solve this issue is by inserting a wax inhibitor into the channel. This research aims to reduce the amount of wax formation of Malaysian crude oil by estimating the effective parameters using Design-Expert by full factorial design (FFD) method. Five parameters have been investigated, which are rotation speed (A), cold finger temperature (B), duration of experimental (C), the concentration of poly (stearyl acrylate-co-behenyl acrylate) (SABA) (D), and concentration of nano-silica SiO2 (E). The optimum conditions for reducing the amount of wax deposit have been identified using FFD at 300 rpm, 10 ℃, 1 h, 1200 ppm and 400 ppm, respectively. The amount of wax deposit estimated is 0.12 g. The regression model’s variance results revealed that the R2 value of 0.9876, showing 98.76% of the data variation, can be described by the model. The lack of fit is not important in comparison to the pure error, which is good. The lack of fit F value of 12.85 means that there is only a 7.41% probability that this huge can occur because of noise. The influence of cold finger temperature was reported as the main contributing factor in the formation of wax deposits compared to other factors. In addition, the interaction between factor B and factor C revealed the highest interaction effect on the wax deposition. In conclusion, the best interaction variables for wax inhibition can be determined using FFD. It is a valued tool to measure and detect the unique relations of two or more variables. As a result, the findings of this study can be used to develop a reliable model for predicting optimum conditions for reducing wax deposits and the associated costs and processing time.

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“…This could be due to GS's inclusion, which changes nanoparticle surfaces to improve surface adsorption onto wax molecules. 11 As a result, wax molecules will be less likely to clump together. Therefore, this study can conclude that the probability of the vdW interaction to control the solubility in the GS/NPs blend is higher than the secondary systems.…”

Section: Paraffin Inhibition Efficiencymentioning

confidence: 99%

“…8,9 According to the author's knowledge, little work has been done to study the paraffin inhibition performance of GS and nanoparticles. Previously, solely experimental lab work was the focus of the research 10,11 and has not comprehensively considered MD study to better understand the molecular level interaction. This paper investigates the relationship between wax molecules and GS and nanoparticles using MD simulation.…”

Section: Introductionmentioning

confidence: 99%

Molecular interaction study on Gemini surfactant and nanoparticles in wax inhibition of Malaysian crude oil

Vijayakumar

Ridzuan

2021

Asia-Pacific J Chem Eng

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Wax deposition can cause a slowdown in operation by restricting crude oil flow in the pipeline. Chemical inhibitors interact with the wax molecule in crude oil and prevent wax aggregation. The molecular dynamics (MD) simulation was used to analyze the intermolecular interaction between a wax molecule of n-icosane and a Gemini surfactant 2,5,8,11 tetramethyl 6 dodecyn-5,8 diol ethoxylate (GS) with three distinct nanoparticles: silicon dioxide (SiO 2 )(NP1), tin oxide (SnO)(NP2), and nickel oxide (Ni 2 O 3 )(NP3). The desired structural feature of the radial distribution function (rdf) was analyzed using the COMPASS force field. Weakest intermolecular interaction between n-icosane (highest rdf value of 5.25 Å), indicating high wax solubility, was achieved in the presence of GS/NP3 blend. In addition, GS/NP3 blend gave the strongest van der Waals (vdW) interaction with a hydrogen atom in n-icosane.The presence of the O carbonyl group in both GS and NP3 establishes a higher number of hydrogen bonds. Thus, the GS/NP3 blend acts as the best inhibitor compared to the individual GS and NP3. The simulation analysis on the degree of wax formation reduction using GS/NP3 blend correlated well with cold finger experiment that showed a wax formation reduction of 61.6%.

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The role of Gemini surfactant and SiO2/SnO/Ni2O3 nanoparticles as flow improver of Malaysian crude oil

Cited by 8 publications

References 29 publications

SiO₂-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines

SiO₂-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines

Application of full factorial design to screen the factors influencing the wax deposition of Malaysian crude oil

Molecular interaction study on Gemini surfactant and nanoparticles in wax inhibition of Malaysian crude oil

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The role of Gemini surfactant and SiO2/SnO/Ni2O3 nanoparticles as flow improver of Malaysian crude oil

Cited by 8 publications

References 29 publications

SiO2-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines

SiO2-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines

Application of full factorial design to screen the factors influencing the wax deposition of Malaysian crude oil

Molecular interaction study on Gemini surfactant and nanoparticles in wax inhibition of Malaysian crude oil

Contact Info

Product

Resources

About

SiO₂-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines

SiO₂-Based Nanofluids for the Inhibition of Wax Precipitation in Production Pipelines