Hybrid connectionist model determines CO2–oil swelling factor
投稿时间:2017-10-17  
英文关键词:CO2 injection, CO2 swelling, Genetic algorithm, Predictive model, Least-squares support vector machine
基金项目:The financial support from Natural Sciences and Engineering Research Council of Canada (NSERC), InnovateNL, and Statoil Canada is greatly appreciated.
作者单位
Mohammad Ali Ahmadi Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada 
Sohrab Zendehboudi Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada 
Lesley A. James Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada 
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英文摘要:
      In-depth understanding of interactions between crude oil and CO2 provides insight into the CO2-based enhanced oil recovery (EOR) process design and simulation. When CO2 contacts crude oil, the dissolution process takes place. This phenomenon results in the oil swelling, which depends on the temperature, pressure, and composition of the oil. The residual oil saturation in a CO2-based EOR process is inversely proportional to the oil swelling factor. Hence, it is important to estimate this influential parameter with high precision. The current study suggests the predictive model based on the least-squares support vector machine (LS-SVM) to calculate the CO2–oil swelling factor. A genetic algorithm is used to optimize hyperparameters (γ and σr2) of the LS-SVM model. This model showed a high coefficient of determination (R2 = 0.9953) and a low value for the mean-squared error (MSE = 0.0003) based on the available experimental data while estimating the CO2–oil swelling factor. It was found that LS-SVM is a straightforward and accurate method to determine the CO2–oil swelling factor with negligible uncertainty. This method can be incorporated in commercial reservoir simulators to include the effect of the CO2–oil swelling factor when adequate experimental data are not available.
Mohammad Ali Ahmadi,Sohrab Zendehboudi,Lesley A. James,2018.Hybrid connectionist model determines CO2–oil swelling factor.Petroleum Science,15(3):591~604.
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