纳米二氧化硅形态评估:对纳米流体稳定性以及与碳酸盐岩表面相互作用的影响

IF 2.7 4区 化学 Q2 CHEMISTRY, INORGANIC & NUCLEAR
Seyyed Hadi Riazi, Elnaz Khodapanah, Seyyed Alireza Tabatabaei-Nezhad
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引用次数: 0

摘要

二氧化硅纳米粒子因其易于生产和可调整的特性,正在被研究用于提高石油采收率(EOR)。然而,有关纳米颗粒形态对其 EOR 效果影响的研究还很有限。本研究调查了两种不同形态(球形和杆状)的二氧化硅纳米粒子的合成和表征,以及它们在碳酸盐岩表面的吸附情况。采用了各种分析技术,包括 FESEM、EDS、FTIR、TGA、BET 和 XRD,对纳米颗粒进行表征。研究还考察了用这些纳米粒子制备的纳米流体在不同盐溶液中的稳定性和 zeta 电位。结果表明,与球形纳米粒子相比,棒状纳米粒子表现出更高的热稳定性和更高的zeta电位,从而提高了纳米流体的稳定性。此外,还评估了纳米粒子在碳酸盐岩表面的吸附行为,与球形纳米粒子相比,棒形纳米粒子显示出更高的吸附量。吸附过程遵循伪二阶动力学,并受到颗粒内和薄膜扩散机制的影响。二氧化硅纳米粒子的平衡吸附数据由 Langmuir 等温线模型精确描述。此外,人工神经网络(ANN)和最小二乘支持向量机(LSSVM)也被用来模拟纳米粒子的吸附行为。高 R2 值表明,这些模型能有效预测纳米粒子在碳酸盐岩上的吸附。研究还观察到,与球形纳米粒子相比,棒形纳米粒子会对岩石表面的粗糙度造成更显著的改变,从而在 EOR 过程中对多孔介质中的油流产生潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of Nanosilica Morphology: Effects on Nanofluid Stability and Interaction with Carbonate Rock Surfaces

Evaluation of Nanosilica Morphology: Effects on Nanofluid Stability and Interaction with Carbonate Rock Surfaces

Silica nanoparticles are being studied for enhanced oil recovery (EOR) due to their ease of production and tunable characteristics. However, limited research has explored the impact of nanoparticle morphology on their effectiveness in EOR. This study investigates the synthesis and characterization of silica nanoparticles in two distinct morphologies: spherical and rod-shaped and their adsorption onto carbonate rock surfaces. Various analytical techniques, including FESEM, EDS, FTIR, TGA, BET, and XRD, were employed to characterize the nanoparticles. The study also examined the stability and zeta potential of nanofluids prepared with these nanoparticles in different salt solutions. The results revealed that rod-shaped nanoparticles exhibited greater thermal stability and higher zeta potential than spherical nanoparticles, contributing to the improved stability of the nanofluids. Additionally, the adsorption behavior of the nanoparticles on carbonate rock surfaces was assessed, with rod-shaped nanoparticles showing higher adsorption quantities compared to their spherical counterparts. The adsorption process followed pseudo-second-order kinetics and was influenced by both intraparticle and film diffusion mechanisms. The equilibrium adsorption data for silica nanoparticles was accurately described by the Langmuir isotherm model. Moreover, artificial neural networks (ANN) and least-squares support-vector machines (LSSVM) were utilized to model the adsorption behavior of nanoparticles. The high R2 values indicated that these models effectively predicted nanoparticle adsorption on carbonate rock. The study also observed that rod-shaped nanoparticles caused more significant alterations in the roughness of the rock surface than spherical nanoparticles, potentially influencing oil flow in the porous medium during the EOR process.

Graphical Abstract

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来源期刊
Journal of Cluster Science
Journal of Cluster Science 化学-无机化学与核化学
CiteScore
6.70
自引率
0.00%
发文量
166
审稿时长
3 months
期刊介绍: The journal publishes the following types of papers: (a) original and important research; (b) authoritative comprehensive reviews or short overviews of topics of current interest; (c) brief but urgent communications on new significant research; and (d) commentaries intended to foster the exchange of innovative or provocative ideas, and to encourage dialogue, amongst researchers working in different cluster disciplines.
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