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Wettability Alteration Modeling for Oil-Wet Calcite/Silica Nanoparticle System Using Surface Forces Analysis: Contribution of DLVO versus Non-DLVO Interactions
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-10-18 , DOI: 10.1021/acs.iecr.8b01918
Abolfazl Dehghan Monfared 1, 2, 3 , Mohammad Hossein Ghazanfari 1 , Mohammad Kazemeini 1 , Mohammad Jamialahmadi 2 , Abbas Helalizadeh 2
Affiliation  

In this work, application of silica nanoparticles for wettability alteration of initially oil-wet calcite was investigated through analysis of surface forces and DLVO theory. Doing so, the wettability and zeta potential of calcite surfaces were measured through the sessile drop method and an in-house experimental setup, respectively. Primary evaluation indicated that incorporating DLVO terms in the Frumkin–Derjaguin model was not sufficient to describe the wettability in an oil-wet calcite/nanofluid system. Sensitivity analysis showed that calculating the double-layer interaction using constant potential-constant potential boundaries along with structural hydrophobic forces (non-DLVO interaction) incorporation improved the modeling performance. Considering hydrophobic interactions through linear correlation between hydrophobicity and wettability change for both single-exponential and harmonic equations provided some confidence on the modeling approach. Moreover, structural forces were suggested to be introduced as a combination of hydrophobic/hydrophilic interactions corresponding to stearic acid-coated/silica nanoparticle-covered sites, respectively; which in turn demonstrated a successful prediction of measured wettability data.

中文翻译:

使用表面力分析的油湿方解石/二氧化硅纳米粒子系统的润湿性变化建模:DLVO与非DLVO相互作用的贡献

在这项工作中,通过表面力分析和DLVO理论研究了二氧化硅纳米粒子在改变初始油湿方解石的润湿性中的应用。这样做,分别通过无滴法和室内实验装置测量了方解石表面的润湿性和ζ电势。初步评估表明,在Frumkin-Derjaguin模型中纳入DLVO术语不足以描述在油湿方解石/纳米流体系统中的润湿性。敏感性分析表明,使用恒定电势-恒定电势边界以及结构疏水力(非DLVO相互作用)的结合来计算双层相互作用可改善建模性能。对于单指数方程和谐波方程,通过疏水性和润湿性变化之间的线性关系来考虑疏水性相互作用,为建模方法提供了一定的信心。此外,建议将结构力引入为分别对应于硬脂酸涂层/二氧化硅纳米颗粒覆盖位点的疏水/亲水相互作用的组合。反过来证明了对测得的润湿性数据的成功预测。
更新日期:2018-10-19
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