Application of Grid partitioning based Fuzzy inference system method as a novel approach for prediction of interfacial tension of hydrocarbon and carbon dioxide |
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| Authors: | Houman Darvish Hamed Raji Asadabadi Ashkan Maleki Sadeghi karim Rouhibakhsh |
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| Affiliation: | 1. Department of Petroleum Engineering, Marvdasht branch, Islamic Azad University, Marvdasht, Iran;2. Science and research Branch, Islamic Azad University, Tehran, Iran;3. Department of Petroleum Engineering, School of chemical, Petroleum and Gas Eng., Shiraz University, Shiraz, Iran |
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| Abstract: | Nowadays the importance of enhanced oil recovery (EOR) processes increases because of increasing demand of energy and declination of oil reservoirs. Due to this fact the researchers attracted to study performance of EOR methods. one of the high efficient methods is carbon dioxide injection which is favorable because of low cost and environmental friendly viewpoints. One of important parameters which have straight effect on recovery of injection is interfacial tension between carbon dioxide and hydrocarbons. In the present investigation the main objective is proposing the Grid partitioning based Fuzzy inference system method as novel approach to predict interfacial tension of carbon dioxide and hydrocarbon in terms of temperature, pressure, liquid and gas densities and molecular weight of alkane. The coefficients of determination for different datasets of training and testing of estimating algorithm are determined as 0.9919 and 0.9899. This results express the algorithm has potential of estimating interfacial tension of hydrocarbons and carbon dioxide. |
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| Keywords: | carbon dioxide injection EOR hydrocarbon interfacial tension predicting algorithm |
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