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Assessment and Development of Heavy-Oil Viscosity Correlations

机译:评估和发展重型粘度相关性

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Heavy oil always poses a great challenge to production and transportation systems due to its high viscosity. This paper evaluates fourteen dead, eight saturated and nine under saturated live oil viscosity correlations against a databank consisting of heavy oil data from various parts of the world with wide ranges of temperature, pressure and fluid compositions. The existing empirical viscosity correlations were mostly developed for significantly lighter oils. Most of them cannot reasonably predict the heavy oil viscosity at low temperatures. Three new empirical correlations for dead, saturated and under saturated oils are developed that are applicable for the heavy oils with API gravity ranging from 10 to 22.3. When compared with the databanks, the new dead oil, saturated and under saturated oil viscosity correlations showed 3 to 50%, 3 to 13% and 22 to 27% improvement over the existing best correlations, respectively. Saturated, Aromatics, Resin and Asphaltenes (SARA) data of some heavy oils were also analyzed to understand the role of the asphaltene and resins in heavy oil viscosity.
机译:重油总是造成生产和运输系统一个很大的挑战,由于其高粘度。本文评估14死,八饱和和下针对由选自有温度,压力和流体组合物的宽范围的世界各地重油数据的一个数据库饱和活油粘度相关性9。现有的实证粘度相关大多为显著轻油开发的。他们中的大多数无法合理地预测在低温下的重油粘度。死,饱和和下饱和油三个新的经验关系都开发了适用于重油与API比重从10到22.3不等。当与资料库相比,新的死油,饱和的和饱和的下油的粘度相关性分别显示3〜50%,3至13%和22至27%的改善在现有的最好的相关性。饱和,芳烃,树脂和沥青质(SARA)一些重油的数据进行了分析,以了解沥青质和树脂的重油粘度的作用。

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