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Prediction of Asphaltene Precipitation during Pressure Depletion and CO_ 2 Injection for Heavy Crude

机译:重质原油减压和注入CO 2期间沥青沉淀的预测

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In this work, a thermodynamic approach is used for modeling the phasebehavior of asphaltene precipitation. The precipitated asphaltene phase is represented by an improved solid model, and the oil and gas phases are modeled with an equation of state. The Peng-Robinson equation of state (PR-EOS) was used to perform flash calculations. Then, the onset point and the amount of precipitated asphaltene were predicted. A computer code based on the solid model was developed and used for predicting asphaltene precipitation data reported in the literature as well as the experimental data obtained from high-pressure, high-temperature asphaltene precipitation experiments performed on Sarvak reservoir crude, one of Iranian heavy oil reserves, under pressure depletion and CO_2injection conditions. The model parameters, obtained from sensitivity analysis, were applied in the thermodynamic model. It has been found that the solid model results describe the experimental data reasonably well under pressure depletion conditions. Also, a significant improvement has been observed in predicting the asphaltene precipitation data under gas injection conditions. In particular, for the maximum value of asphaltene precipitation and for the trend of the curve after the peak point, good agreement was observed, which could not be found in the available literature.
机译:在这项工作中,使用热力学方法来模拟沥青质沉淀的相行为。沉淀的沥青质相用改进的固体模型表示,油气相用状态方程建模。 Peng-Robinson状态方程(PR-EOS)用于执行快速计算。然后,预测起始点和沉淀的沥青质的量。开发了基于实体模型的计算机代码,并将其用于预测文献中报道的沥青质沉淀数据,以及从对伊朗重油之一的萨尔瓦克油藏原油进行的高压高温沥青质沉淀实验获得的实验数据压力消耗和CO_2注入条件下的储量。通过灵敏度分析获得的模型参数被应用到热力学模型中。已经发现,固体模型结果在压力耗尽条件下相当好地描述了实验数据。另外,在预测气体注入条件下的沥青质沉淀数据时,已观察到显着改善。特别是,对于沥青质沉淀的最大值和峰点之后的曲线趋势,观察到了很好的一致性,这在现有文献中找不到。

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