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Application of cubic equations of state to solid-liquid phase equilibrium of mixtures of hydrocarbons and related materials.

机译:立方状态方程在碳氢化合物及相关物质混合物固液相平衡中的应用。

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The application of cubic equations of state (CEOSs) for the prediction of solid-liquid phase equilibria of hydrocarbon mixtures is presented. Crude oil and fuels are examples of mixtures of light and heavy hydrocarbon components. The light hydrocarbon components in oil keep the heavy components soluble in solution. However, the cooling of oil during transportation, processing or use, below the solidification point of the heavy components leads to the formation of a solid wax phase. A number of approaches have been proposed for the prediction of solid phase mixtures in both crude oils and fuels. Some of these models assume ideal liquid solution while others modify the regular solution theory or the Flory-Huggins model, with varying degrees of success. The absence of a usable thermodynamic model in the petroleum industry to describe both the liquid phase as well as solid phase non-idealities of mixtures of hydrocarbons with large size differences is still a major problem.; In this study a new cubic equation of state solid phase alpha function has been developed. The new alpha function when used in the TST/TSTSLE EOS model and together with the Twu vapor-liquid alpha function predicts reasonably good solid vapor pressures and solid molar densities, particularly for light molecular weight compounds. The solid phase thermodynamic properties, H and Cp from the TSTSLE equation agree reasonably well with experimental data for light molecular weight components at the melting point temperature. The TST infinite pressure mixing rules were found to predict and correlate the solubilities of binary alkane mixtures within acceptable tolerances. The optimum SLE value for the NRTL alpha parameter was found to be alpha12 = 0.2.; The new equation of state model was applied to binary mixtures and was shown to predict, with good accuracy, the solid solubility of heavy hydrocarbons in light hydrocarbon solvents over the whole composition range. For ternary and multi-component mixtures composed of library components of the normal paraffins up to nC30, the TST infinite pressure mixing rule (TSTMR)/TSTSLE model predicts reasonably well the solubility, the phase fraction, the wax appearance temperature and the fraction of paraffins crystallized in different solvents. For mixtures with compounds where the heat of fusion, the melting point temperature and the solid transition properties need to be estimated, a simple linear expression in molecular weight was found to estimate the combined transition enthalpies of heavy hydrocarbons reasonably well. In addition to the accurate property estimates provided by this new expression, the use of the new correlation in the TSTMR/TSTSLE model resulted in good temperature predictions at the cloud point (CPT) and the correct trends that are characteristic of the complex bimodal synthetic wax mixtures. The Won-Hansen correlations when used in the TSTMR/TSTSLE model provided good CPT predictions at elevated pressures for dead and live oils. (Abstract shortened by UMI.)
机译:提出了应用状态立方方程(CEOSs)预测烃混合物的固液相平衡的方法。原油和燃料是轻烃组分和重烃组分的混合物的实例。油中的轻质烃组分使重组分可溶于溶液。然而,在运输,加工或使用期间油的冷却,低于重组分的凝固点会导致形成固体蜡相。已经提出了许多方法来预测原油和燃料中的固相混合物。其中一些模型采用理想的液体溶液,而另一些模型则修改了常规溶液理论或Flory-Huggins模型,并获得了不同程度的成功。石油工业中缺乏描述液相和固相非理想混合物的热力学模型仍然是一个主要问题,烃混合物的液相和固相不理想。在这项研究中,开发了一个新的状态固相α函数的立方方程。在TST / TSTSLE EOS模型中使用了新的alpha函数,并与Twu气液α函数一起预测了相当不错的固体蒸气压和固体摩尔密度,特别是对于轻分子量化合物。 TSTSLE方程的固相热力学性质H和Cp与熔点温度下轻分子量组分的实验数据相当吻合。发现TST无限压力混合规则可以预测并关联可接受范围内的二元烷烃混合物的溶解度。发现NRTL alpha参数的最佳SLE值为alpha12 = 0.2。将新的状态方程模型应用于二元混合物,结果表明,该方程能够以较高的精度预测整个组成范围内重烃在轻烃溶剂中的固溶度。对于正构烷烃直至nC30的三元和多组分混合物,TST无限压力混合法则(TSTMR)/ TSTSLE模型可以很好地预测溶解度,相分数,蜡的出现温度和石蜡分数在不同溶剂中结晶。对于需要熔融热,熔点温度和固体转变性质的化合物的混合物,发现分子量的简单线性表达式可以合理地估计重烃的合并转变焓。除了此新表达式提供的准确属性估算值之外,在TSTMR / TSTSLE模型中使用新的相关性还可以在浊点(CPT)上获得良好的温度预测以及复杂的双峰合成蜡所具有的正确趋势混合物。当在TSTMR / TSTSLE模型中使用时,Won-Hansen相关性在死油和活油的高压下提供了良好的CPT预测。 (摘要由UMI缩短。)

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