A CPP Model to Asphaltene Precipitation; Mapping p-p Interactions onto an Equation of State

S. Alimohammadi, L. James, S. Zendehboudi
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Abstract

Asphaltene may destabilize during the oil recovery, transportation, and processing and cause significant flow assurance problems that negatively affect the operational expenditures (OPEX). Modeling investigation of asphaltene precipitation and consequently deposition is a vital research component in flow assurance requiring the accurate description of the phenomena under various operational conditions. The structure of asphaltene molecules and the presence of heteroatoms play a significant role in the intermolecular forces and the mechanism of asphaltene aggregation. Nevertheless, the intermolecular forces, e.g., polar forces, and their addition to thermodynamic modeling of asphaltene phase behavior still need investigation. While the traditional equation of state (EoS), e.g., cubic EoS, does not provide any special treatment to polar energy, the π-π interaction and polar effect can be mapped into the EoS using a separate polar term. In this research, we use cubic EoS, cubic plus polar (CPP) EoS, and molecular dynamics (MD) (three different modeling approaches) to analyze the effect of asphaltene structure and operational conditions on the precipitation phenomenon. Comparing the error associated with correlation and prediction results of the models, we show that the CPP approach using optimization to tune parameters of the EoS is the most reliable approach, followed by CPP EoS using MD to find dipole moment for the aryl-linked core asphaltene structure. The CPP EoS and MD optimizing island structure for asphaltene is the third-best model, and SRK EoS is a less efficient approach. Considering the values for dipole moment and molecular weight of asphaltene, along with correlation and prediction ability of the techniques, it is revealed that polar forces can be considered in a separate term in addition to van der Waals force to increase the model efficiency. Moreover, the aryl structure with a 750 g/mol molecular weight and one/two thiophene/pyridine group is the most proper asphaltene structure.
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沥青质沉淀的CPP模型将p-p相互作用映射到状态方程上
沥青质可能在采油、运输和加工过程中不稳定,并导致严重的流动保障问题,对运营支出(OPEX)产生负面影响。沥青质沉淀及其沉积的建模研究是流动保障研究的重要组成部分,需要准确描述各种操作条件下的现象。沥青质的分子结构和杂原子的存在对沥青质的分子间作用力和聚集机理起着重要的作用。然而,分子间作用力,如极性作用力,以及它们在沥青质相行为热力学模型中的作用仍需进一步研究。虽然传统的态方程(EoS),例如立方态方程,没有提供任何对极性能量的特殊处理,但π-π相互作用和极性效应可以使用单独的极性项映射到EoS中。在本研究中,我们使用立方EoS、立方正极性(CPP) EoS和分子动力学(MD)(三种不同的建模方法)来分析沥青质结构和操作条件对沉淀现象的影响。通过对比模型的相关误差和预测结果,我们发现使用优化方法来调整参数的CPP方法是最可靠的方法,其次是使用MD来寻找芳基连接的核心沥青质结构的偶极矩的CPP方法。CPP EoS和MD优化沥青质岛状结构是第三好的模型,而SRK EoS是效率较低的方法。考虑到偶极矩和沥青质分子量的值,以及这些技术的相关性和预测能力,表明除了范德华力之外,还可以单独考虑极性力,以提高模型效率。而分子量为750 g/mol的芳基结构和1 / 2噻吩/吡啶基团是最合适的沥青质结构。
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