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Applying Fuzzy c-means approach as a novel method for prediction of interfacial tension between carbon dioxide and hydrocarbons

机译:应用模糊C型方法作为预测二氧化碳与碳氢化合物之间界面张力的新方法

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摘要

The worldwide demand for energy increases and also the price of crude oil increases so these reasons have been caused the searchers have motivated to investigate enhanced of oil recovery (EOR) processes. The carbon dioxide injection is recognized as one of the favorable approaches of EOR because of high displacement efficiency, environmentally aspects and lower cost. The Interfacial tension between crude oil and carbon dioxide is known as one of the critical factors which affect the performance of injection. The main objective of the present investigation is development of Fuzzy c-means (FCM) approach as novel method to estimate interfacial tension between carbon dioxide and hydrocarbons as function of pressure, temperature, liquid and gas densities and molecular weight of alkane. The performance of predicting model was evaluated statistically and graphically and the results confirmed the ability of the model to predict interfacial tension between carbon dioxide and hydrocarbons.
机译:全球对能源的需求增加,也是原油价格的增加,因此导致搜索者有动力调查石油回收(EOR)流程的增强。 由于高位移效率,环保方面和更低的成本,二氧化碳注射被认为是EOR的有利方法之一。 原油和二氧化碳之间的界面张力被称为影响注射性能的关键因素之一。 本研究的主要目的是开发模糊C型(FCM)方法,作为新方法,以估算二氧化碳与烃类的界面张力作为压力,温度,液体和气密和烷烃的分子量的函数。 统计和图形评估预测模型的性能,结果证实了模型预测二氧化碳与烃之间的界面张力的能力。

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