چکیده :

The CO 2 based enhanced oil recovery methods (EORs) in the petroleum industry are considered as one of the efficient technologies for further production where the natural driving forces become weak. To determine which EOR method is more appropriate for a targeted reservoir, there is a need to develop a reliable and fast tool to predict the performance of the EOR methods due to assumptions and central processing time (CPU) time of reservoir simulations. We develop a promising approach for predicting the ultimate oil recovery factor of the miscible CO 2 injection processes. To attain this goal, the least square support vector machine is used to build the proxy model. The Box-Behnken design as a branch of response surface methods is employed to design simulation runs for miscible CO 2 injection processes, and the leverage method is applied to validate the proxy model in terms of statistical perspective. An …

کلید واژگان :

CO2 Injection; Proxy Model; EOR



ارزش ریالی : 600000 ریال
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