A machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach

Fuel(2021)

引用 42|浏览3
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摘要
•The main control factors of the MMP model are firstly screened.•Multiple verification methods are firstly used to verify the prediction model.•An accurate and comprehensive model of MMP based on SVM method is established.•The influence of 9 main factors on the MMP of CO2 crude oil system is obtained.
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关键词
Machine learning,Minimum miscible pressure,Prediction model,Support vector machine,The impure CO2
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