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有机溶剂中沥青质的介观聚集行为——布朗动力学研究

Asphaltene Mesoscale Aggregation Behavior in Organic Solvents-A Brownian Dynamics Study.

作者信息

Ahmadi Mohammad, Hassanzadeh Hassan, Abedi Jalal

机构信息

Department of Chemical and Petroleum Engineering, Schulich School of Engineering , University of Calgary , 2500 University Drive NW , Calgary , Alberta , Canada T2N 1N4.

出版信息

J Phys Chem B. 2018 Sep 6;122(35):8477-8492. doi: 10.1021/acs.jpcb.8b06233. Epub 2018 Aug 28.

DOI:10.1021/acs.jpcb.8b06233
PMID:30106586
Abstract

Significant advances have been achieved in understanding the main molecular mechanisms leading to asphaltene aggregation. However, the existing computational deficiency of molecular dynamics simulations did not allow full reproduction of the complex aggregation behavior of asphaltene in the past. In this work, we use the Brownian dynamics simulation to investigate asphaltene aggregation behavior on larger length and time scales that have not been previously accessed by molecular simulations. This enabled us to completely render the formation of clusters of asphaltene nanoaggregates and the resulting fractal or network of aggregates during the aggregation process. Asphaltene aggregation is studied at several volume fractions (ϕ = 1-7%) of asphaltene nanoaggregates in two solvents including heptane and heptol (i.e., a mixture of heptane and toluene). Our simulation results support the aggregation hierarchy proposed in the Yen-Mullins model (Mullins, Annu. Rev. Anal. Chem. 2011, 4, 393-418.) by demonstrating that asphaltene nanoaggregates form small clusters with an aggregation number of 7-8 and an average gyration radius of ∼4.0 nm capable of forming either fractal aggregates with a fractal dimension of 1.93-2.04 at low ϕ or percolating networks of aggregates at high ϕ. Percolating structures are observed at ϕ = 7% in both solvents. In heptol, the structures mainly percolate along two directions, whereas in heptane, they can percolate along three directions (i.e., x, y, and z). The self-diffusion coefficient ( D) significantly decreases as ϕ increases. Generally, D is larger in heptol than in heptane, but this difference diminishes as ϕ increases, approaching to almost the same value at ϕ = 7%.

摘要

在理解导致沥青质聚集的主要分子机制方面已经取得了重大进展。然而,过去分子动力学模拟存在的计算缺陷使得无法完全重现沥青质复杂的聚集行为。在这项工作中,我们使用布朗动力学模拟来研究沥青质在更大长度和时间尺度上的聚集行为,而这些尺度是之前分子模拟未曾涉及的。这使我们能够完整呈现沥青质纳米聚集体簇的形成以及聚集过程中由此产生的分形聚集体或聚集体网络。在两种溶剂(庚烷和庚醇,即庚烷和甲苯的混合物)中,研究了几种体积分数(ϕ = 1 - 7%)的沥青质纳米聚集体的聚集情况。我们的模拟结果通过证明沥青质纳米聚集体形成聚集数为7 - 8且平均回转半径约为4.0 nm的小簇,这些小簇在低ϕ时能够形成分形维数为1.93 - 2.04的分形聚集体,在高ϕ时能够形成聚集体渗流网络,从而支持了Yen - Mullins模型(Mullins,《分析化学年度评论》,2011年,第4卷,393 - 418页)中提出的聚集层次结构。在两种溶剂中,当ϕ = 7%时均观察到了渗流结构。在庚醇中,结构主要沿两个方向渗流,而在庚烷中,它们可以沿三个方向(即x、y和z)渗流。自扩散系数(D)随着ϕ的增加而显著降低。一般来说,D在庚醇中比在庚烷中更大,但随着ϕ的增加,这种差异减小,在ϕ = 7%时接近几乎相同的值。

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