沥青烯纳米聚集体与多糖动态异聚集过程中的平衡与时间演化

IF 5.3 3区 工程技术 Q2 ENERGY & FUELS Energy & Fuels Pub Date : 2025-02-03 DOI:10.1021/acs.energyfuels.4c05668
Wenying Li, Jingchun Feng, Kexuan Wu, Si Zhang, Yuelu Jiang and Guozhong Wu*, 
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引用次数: 0

摘要

油管中的沥青质堵塞和微生物引起的腐蚀(MIC)给流动保障带来了巨大挑战,尽管进行了大量的个人研究,但人们对它们之间的相互关系仍知之甚少。本研究利用分子动力学模拟和机器学习技术来阐明与MIC相关的典型生物膜多糖海藻酸盐对沥青质聚集的影响。结果强调海藻酸盐能够将大的沥青质纳米聚集体分散成更小的聚集体,并且在更高的浓度下分散效果更明显。这是通过形成沥青质-海藻酸盐异质聚集体实现的,其中沥青质纳米聚集体被Na+桥接稳定的交联藻酸盐链紧密包裹。海藻酸盐的存在显著增加了沥青烯的溶剂可及表面积(SASA),而异聚集过程导致沥青烯纳米聚集体表面覆盖了丰富的羟基和羧基。此外,该研究还表明,利用从分子轨迹中提取的3636个数据集构建的优化随机森林模型,可以通过藻酸盐的结构特性准确预测沥青质的聚集参数,如纳米聚集数、分子间接触数和SASA (R2 = 0.9628-0.9827)。这使得在MIC过程中,当多糖组成和浓度发生变化时,可以快速预测沥青质聚集。这些发现为在生物膜多糖存在的情况下解决沥青质相关问题提供了理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Equilibrium and Temporal Evolution of Asphaltene Nanoaggregates during Dynamic Heteroaggregation with Polysaccharides

Asphaltene blockage and microbiologically induced corrosion (MIC) in oil pipes pose substantial flow assurance challenges, but their interrelationship remains poorly understood despite extensive individual research efforts. This study utilized molecular dynamics simulation and machine learning techniques to elucidate the effects of alginate, a representative biofilm polysaccharide associated with MIC, on asphaltene aggregation. Results underscored the ability of alginates to disperse large asphaltene nanoaggregates into smaller ones with more pronounced dispersion effects at higher concentrations. This was achieved through forming asphaltene–alginate heteroaggregates wherein asphaltene nanoaggregates were tightly wrapped by cross-linked alginate chains stabilized by Na+ bridging. The presence of alginates significantly increased the solvent accessible surface area (SASA) of asphaltenes, while the heteroaggregation process resulted in abundant hydroxyl and carboxyl groups coating the surface of the asphaltene nanoaggregates. Furthermore, this study showed that the time-varying asphaltene aggregation parameters such as nanoaggregate number, intermolecular contact number, and SASA could be accurately predicted by alginate structural properties using optimized random forest models built from 3636 data sets extracted from molecular trajectories (R2 = 0.9628–0.9827). This enabled fast prediction of asphaltene aggregation when the polysaccharide composition and concentration changed during the MIC process. These findings provided theoretical support for developing strategies to address asphaltene-related issues in the presence of a biofilm polysaccharide.

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来源期刊
Energy & Fuels
Energy & Fuels 工程技术-工程:化工
CiteScore
9.20
自引率
13.20%
发文量
1101
审稿时长
2.1 months
期刊介绍: Energy & Fuels publishes reports of research in the technical area defined by the intersection of the disciplines of chemistry and chemical engineering and the application domain of non-nuclear energy and fuels. This includes research directed at the formation of, exploration for, and production of fossil fuels and biomass; the properties and structure or molecular composition of both raw fuels and refined products; the chemistry involved in the processing and utilization of fuels; fuel cells and their applications; and the analytical and instrumental techniques used in investigations of the foregoing areas.
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