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Multi-scale simulation of asphaltene aggregationand deposition in capillary flow

机译:毛细流中沥青质聚集与沉积的多尺度模拟

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摘要

Asphaltenes are known as the 'cholesterol' of crude oil. They form nano-aggregates, precipitate, adhere to surfaces, block rock pores and may alter thewetting characteristics of mineral surfaces within the reservoir, hindering oilrecovery efficiency. Despite a significant research effort, the structure,aggregation and deposition of asphaltenes under flowing conditions remainpoorly understood. For this reason, we have investigated asphaltenes, theiraggregation and their deposition in capillary flow using multi-scale simulationsand experiments. At the colloid scale, we use a hybrid simulation approach: forthe solvent, we used the stochastic rotation dynamics (also known as multiparticle collision dynamics) simulation method, which provides bothhydrodynamics and Brownian motion. This is coupled to a coarse-grained MDapproach for the asphaltene colloids. The colloids interact through a screenedCoulomb potential with varying well depth E. We tune the flow rate to obtainPe_(flow) 1 (hydrodynamic interactions dominate) andRe 1 (Stokes flow).Imposing a constant pressure drop over the capillary length, we observe that thetransient solvent flow rate decreases with increasing well depth e. The interactionsbetween the mesoscopic asphaltene colloids can be related to atomistic MDsimulations. Molecular structures for the atomistic calculations were obtainedusing the quantitative molecular representation approach. Using these structures,we calculate the potential of mean force (PMF) between pairs of asphaltenemolecules in an explicit solvent. We obtain a reasonable fit using a —1/r2attraction for the attractive tail of the PMF at intermediate distances. Wespeculate that this is due to the two-dimensional nature of the asphaltenemolecules. Finally, we discuss how we can relate this interaction to the mesoscopiccolloid aggregate interaction. We assume that the colloidal aggregates consist ofnano-aggregates. Taking into account observed solvent entrainment effects, wededuct the presence of lubrication layers between the nano-aggregates, whichleads to a significant screening of the direct asphaltene—asphaltene interactions.
机译:沥青质被称为原油的“胆固醇”。它们形成纳米聚集体,沉淀,粘附到表面,阻塞岩石孔隙,并可能改变储层内矿物表面的润湿特性,从而阻碍了采油效率。尽管进行了大量的研究工作,但在流动条件下沥青质的结构,聚集和沉积仍知之甚少。因此,我们使用多尺度模拟和实验研究了沥青质,它们的聚集及其在毛细管流中的沉积。在胶体规模上,我们使用混合模拟方法:对于溶剂,我们使用随机旋转动力学(也称为多粒子碰撞动力学)模拟方法,该方法同时提供了流体动力学和布朗运动。这与用于沥青质胶体的粗粒度MD方法耦合。胶体通过筛选的库伦电位以不同的阱深度E相互作用。我们调节流速以获得Pe_(flow) 1(流体动力相互作用占主导)和Re 1(Stokes流)。在毛细管长度上施加恒定的压降,我们观察到瞬态溶剂流速随井深e的增加而减小。介观沥青质胶体之间的相互作用可能与原子MD模拟有关。使用定量分子表示方法获得用于原子计算的分子结构。使用这些结构,我们可以计算在显式溶剂中的沥青质分子对之间的平均力(PMF)的潜力。对于中间距离的PMF的引人注目的尾部,我们使用-1 / r2引力来获得合理的拟合。我们推测这是由于沥青质分子的二维性质。最后,我们讨论如何将这种相互作用与介观胶体聚集体相互作用联系起来。我们假设胶体聚集体由纳米聚集体组成。考虑到观察到的溶剂夹带效应,我们推断出纳米聚集体之间存在润滑层,这导致对直接的沥青质-沥青质相互作用的显着筛选。

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