Characterization and Determination of CO2-Reservoir Oil Miscibility
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-95546-9_2
Reference88 articles.
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3. Ahmadi K, Johns RT, Mogensen K et al (2011) Limitations of current method-of-characteristics (MOC) methods using shock-jump approximations to predict MMPs for complex gas/oil displacements. Soc Pet Eng. https://doi.org/10.2118/129709-PA
4. Ali MT, El-Banbi AH (2015) EOS tuning—comparison between several valid approaches and new recommendations. Soc Pet Eng. https://doi.org/10.2118/175877-MS
5. Alomair OA, Garrouch AA (2016) A general regression neural network model offers reliable prediction of CO2 minimum miscibility pressure. J Petrol Explor Prod Technol 6:351. https://doi.org/10.1007/s13202-015-0196-4
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