首页> 外文期刊>Iranian Journal of Chemistry and Chemical Engineering >Applying the PR-EOS to Predict the Onset of Asphaltene Precipitation from n-Alkane Diluted Bitumens
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Applying the PR-EOS to Predict the Onset of Asphaltene Precipitation from n-Alkane Diluted Bitumens

机译:应用PR-EOS预测正构烷烃稀释沥青中沥青烯沉淀的开始

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Asphaltenes are the n-pentane or n-heptane insoluble fractions of crude oil that remain in solution under reservoir temperature and pressure conditions. They are destabilized and start to precipitate when the pressure, temperature and/or composition changes occur during primary production. The precipitated asphaltene particles will then grow in size and may start to deposit onto the production string and/or flowlines, causing operational problems. In this paper, a combination of the modified Peng-Robinson (PR) EOS and regular solution theory is used to estimate the onset of asphaltene precipitation of some oils. The PR EOS was modified using contribution methods for the asphaltenes which are assumed to be polymeric-like compounds consisting of aggregates of monodisperse asphaltene monomers. The modified EOS with the Peneloux correction was used to estimate the molar volumes and solubility parameter of the four solubility classes (Saturates, Aromatics, Resins, Asphaltenes) of bitumens. The predicted parameter of EOS was used to determine the onset of asphaltene precipitation from bitumen upon the addition of heptane and predictions were compared with measured onsets. Liquid-Liquid equilibrium was assumed between an oil phase and an asphaltene-rich phase. The asphaltene were divided into several pseudo components based on the Schultz-Zimm distribution function. Application of this model will help operators to better forecast the onset of asphaltene precipitation as it relates to flow rate history of the well and the pace of plugging induced by asphaltenes, and thus better plan remedial measures. The agreement between the predicted and measured onsets is very good.
机译:沥青质是原油的正戊烷或正庚烷不溶级分,可在储层温度和压力条件下保留在溶液中。当一次生产中压力,温度和/或组成发生变化时,它们不稳定并开始沉淀。然后,沉淀的沥青质颗粒尺寸将增大,并可能开始沉积到生产管柱和/或流水线上,从而引起操作问题。在本文中,结合改进的Peng-Robinson(PR)EOS和常规溶液理论来估计某些油中沥青质沉淀的开始。 PR EOS使用对沥青质的贡献方法进行了改性,假定这些沥青质是由单分散沥青质单体的聚集体组成的聚合物状化合物。带有Peneloux校正的改良EOS用于估算沥青的四个溶解度类别(饱和,芳香族,树脂,沥青质)的摩尔体积和溶解度参数。 EOS的预测参数用于确定加入庚烷后沥青中沥青质沉淀的发生,并将预测与测得的发生进行比较。假定在油相和富含沥青质的相之间存在液-液平衡。根据Schultz-Zimm分布函数,将沥青质分为几个假组分。该模型的应用将有助于操作人员更好地预测沥青质降水的发生,因为它与井的流量历史以及沥青质引起的堵漏速度有关,从而更好地计划了补救措施。预测的发作与测量的发作之间的一致性非常好。

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