Abstract

Use of nanoparticles can effectively inhibit asphaltene precipitation. The present study aims to explore the role of polythiophene-coated Fe3O4 nanoparticles in both asphaltene precipitation and surface topography alteration. Topography information of the surface is obtained through employing atomic force microscopy (AFM) imaging technique. Fractal theory, Gaussian theory, and statistical parameters (e.g., skewness and kurtosis parameters) are used to analyze the surface topography in the presence and absence of nanoparticles. The mono-fractal theory does not adequately describe the irregularity of the surface. Thus, the bi-fractal approach is utilized for investigating the topography alteration of the glass substrate as a result of asphaltene precipitation in the presence and absence of nanoparticles in both light and heavy oil samples. In this theory, the asperity of the surface is divided into two categories: micro- and macro-asperity; the fractal dimensions are calculated for each surface separately. Also, this work employs the bi-Gaussian theory for the first time to study characteristics of a surface that consists of summits. The results of the bi-Gaussian theory are in acceptable agreement with those obtained using the bi-fractal theory. It is found that nanoparticles greatly affect the surface topography. The results also confirm that asphaltene can be adsorbed more on nanoparticles in heavy synthetic oil, compared to light synthetic oil. The fractal theory is more accurate than the bi-Gaussian and statistical approaches as the fractal theory considers all scales/dimensions while other methods take into account only the height of asperity. According to the modeling results, the nanoparticles have potential to considerably lower asphaltene precipitation. This study can provide useful guidelines/tips for inhibiting the wettability alteration of the surface upon asphaltene precipitation over production and transportation processes while using nanoparticles.

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