Prediction of molecular-type analysis of petroleum fractions and coal liquids

M. Riazi, T. Daubert
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引用次数: 76

Abstract

Different sets of correlations for prediction of composition of petroleum fractions and coal liquids in terms of readily available parameters are proposed. Paraffinic, naphthenic, and aromatic portions of olefin-free fractions can be predicted from the knowledge of either specific gravity, refractive index, and viscosity or molecular weight, refractive index, and carbon to hydrogen weight ratio. The proposed correlations may be used for fractions with molecular weights of 70-600. For coal liquids or highly aromatic fractions, correlations in terms of molecular weight, refractive index, and density are proposed to predict monoaromatic and polyaromatic portions of the fraction. These correlatlons are applicable to fractions with molecular weights up to 250. Petroleum fractions are mixtures of different hydrocarbons from different homologous groups. When the pseudocompound method is used for prediction of thermophysical properties of undefined petroleum fractions (Huang and Daubert 1974; Riazi, 1979), knowledge of the paraffin, olefin, naphthene, and aromatic content of the fraction is necessary. However, most petroleum fractions for which data on their composition are available are free from olefins, and most coal liquids are highly aromatic (80-90% aromatic). The n-d-M method of Van Nes and Van Westen (1951) for estimating the percentage carbon as an aromatic, naphthenic, or paraffinic structure from measured values of density, refractive index, and molecular weight is based on limited and mainly saturated data. Riazi (1979) has shown that the method gives high errors in the prediction of the composition of petroleum fractions. Riazi and Daubert (1980) developed a set of correlations for molecular-type analysis which required viscosity, specific gravity, density, and refractive index as input parameters. The fractions were divided into light (M C 200) and heavy (M > 200) molecular weight ranges, and the correlations were in terms of the refractivity intercept (RI) and viscosity gravity relation (VG). These two characterizing parameters were defined as
石油馏分和煤液分子型分析的预测
提出了不同的关联集,用于预测石油馏分和煤液的组成,根据现成的参数。无烯烃馏分的石蜡、环烷和芳烃部分可以从比重、折射率和粘度或分子量、折射率和碳氢质量比的知识来预测。所提出的相关性可用于分子量为70-600的分数。对于煤液或高芳香族馏分,提出了分子量、折射率和密度方面的相关性来预测馏分的单芳香族和多芳香族部分。这些相关性适用于分子量高达250的分数。石油馏分是来自不同同源基团的不同碳氢化合物的混合物。当拟复合方法用于预测未定义石油馏分的热物理性质时(Huang and Daubert 1974;Riazi, 1979),了解馏分的石蜡、烯烃、环烷和芳烃含量是必要的。然而,大多数石油馏分的成分数据是不含烯烃的,大多数煤液体是高度芳香族的(80-90%芳香族)。Van Nes和Van Westen(1951)通过密度、折射率和分子量的测量值来估计芳香、环烷或石蜡结构碳的百分比的n-d-M方法是基于有限的、主要是饱和的数据。Riazi(1979)表明,该方法在预测石油馏分组成时误差很大。Riazi和Daubert(1980)开发了一套用于分子型分析的相关性,该相关性需要粘度、比重、密度和折射率作为输入参数。馏分分为轻分子量(M - C - 200)和重分子量(M > 200),并根据折射率截距(RI)和粘度重力关系(VG)进行相关性分析。这两个表征参数定义为
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