PARAMETRIC INVESTIGATION OF HPAM/GO-SIO2 THROUGH EXPERIMENTAL AND MACHINE LEARNING MODELING
In this paper, we focus on a conventional chemical enhanced oil recovery method, partially hydrolyzed polyacrylamide polymer flooding, augmented by SiO2 and graphene oxide nanoparticles to create a hybrid polymeric nanofluid to observe its effects on reducing interfacial tension in an oil-nanofluid...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/id/eprint/25645/1/48_UTP21-3_PE48.pdf http://utpedia.utp.edu.my/id/eprint/25645/ |
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| Summary: | In this paper, we focus on a conventional chemical enhanced oil recovery method, partially hydrolyzed polyacrylamide polymer flooding, augmented by SiO2 and graphene oxide nanoparticles to create a hybrid polymeric nanofluid to observe its effects on reducing interfacial tension in an oil-nanofluid interface. |
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