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2024-10-03
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References

  1. [1]E.Manrique, M.Ahmadi, and S.Samani, “Historical and recent observations in polymer floods: An update review,” CTyF- Ciencia, Tecnol. yFutur., vol. 6–6, no. 5–5, pp. 17–48, 2017. doi: 10.29047/01225383.72.
    https://doi.org/10.29047/01225383.72 [Google Scholar]
  2. [2]E.Manrique and VAlvarado, “Enhanced oil recovery: An update review,” Energies, vol. 3, pp. 1529–1575,2010.
    [Google Scholar]
  3. [3]M.Zeynalli, U.Alfazazi, M.Mushtaq, E. W.Al-Shalabi, and W.AlAmeri, “Recent Advancements in Viscoelastic Polymer Flooding EOR Applications in Carbonates and Sandstones,” Soc. Pet. Eng. - ADIPEC2022, 2022. doi: 10.2118/211481‑MS.
    https://doi.org/10.2118/211481-MS [Google Scholar]
  4. [4]U.Alfazazi, N. C.Thomas, W.AlAmeri, E. W.Al-Shalabi, and A. R.Shaik, “An experimental investigation of polymer performance in harsh carbonate reservoir conditions,” Soc. Pet. Eng. - SPE Gas Oil Technol. Showc. Conf. 2019, GOTS2019, 2019. doi: 10.2118/198607‑ms.
    https://doi.org/10.2118/198607-ms [Google Scholar]
  5. [5]A.Skauge, N.Zamani, J. G.Jacobsen, B. S.Shiran, B.Al-Shakry, and T.Skauge, “Polymer flow in porous media: Relevance to enhanced oil recovery,” Colloids and Interfaces, vol. 2, no. 3, 2018. doi: 10.3390/colloids2030027.
    https://doi.org/10.3390/colloids2030027 [Google Scholar]
  6. [6]B.Jiang, D. J.Keffer, B. J.Edwards, and J. N.Allred, “Modeling shear thickening in dilute polymer solutions: Temperature, concentration, and molecular weight dependencies,” J. Appl. Polym. Sci., vol. 90, no. 11, pp. 2997–3011, 2003. doi: 10.1002/app.12950.
    https://doi.org/10.1002/app.12950 [Google Scholar]
  7. [7]O. A.Magbagbeola, “Quantification of the Viscoelastic Behavior of High Molecular Weight Polymers used for Chemical Enhanced Oil Recovery,” University of Texas at Austin, 2008.
    [Google Scholar]
  8. [8]M.Delshad, D. H.Kim, O. A.Magbagbeola, C.Huh, G. A.Pope, and F.Tarahhom, “Mechanistic interpretation and utilization of viscoelastic behavior of polymer solutions for improved polymer-flood efficiency,” Proc - SPESymp. Improv. Oil Recover., vol. 2, pp. 1051–1065, 2008. doi: 10.2118/113620‑ms.
    https://doi.org/10.2118/113620-ms [Google Scholar]
  9. [9]K. S.Sorbie and L. J.Roberts, “A Model for Calculating Polymer Injectivity Including the Effects of Shear Degradation,” inAllDays, Apr. 1984. doi: 10.2118/12654‑MS.
    https://doi.org/10.2118/12654-MS [Google Scholar]
  10. [10]K. C.Taylor and H. A.Nasr-El-Din, “Water-Soluble Hydrophobically Associating Polymers for Improved Oil Recovery: A Literature Review,” 2007, doi: 10.2523/29008‑ms.
    https://doi.org/10.2523/29008-ms [Google Scholar]
  11. [11]K. C. NúñezCarrero, C.Velasco-Merino, M.Asensio, J.Guerrero, and J. C.Merino, “Rheological Method for Determining the Molecular Weight of Collagen Gels by Using a Machine Learning Technique,” Polymers (Basel)., vol. 14, no. 17, 2022. doi: 10.3390/polym14173683.
    https://doi.org/10.3390/polym14173683 [Google Scholar]
  12. [12]E.Pérez, D.Alviso, E.Manrique, and G.Artana, “Estimation of the rheological curve of HPAM solutions from measurements using the Brookfield viscometer,” J. Pet. Sci. Eng., vol. 216, 2022. doi: 10.1016/j.petrol.2022.110793.
    https://doi.org/10.1016/j.petrol.2022.110793 [Google Scholar]
  13. [13]S.Jouenne and B.Levache, “Universal viscosifying behavior of acrylamide-based polymers used in enhanced oil recovery,”J.Rheol. (N.Y.N. Y)., vol. 64, no. 5, pp. 1295–1313, 2020. doi: 10.1122/8.0000063.
    https://doi.org/10.1122/8.0000063 [Google Scholar]
  14. [14]E.Pérez, D.Alviso, E.Manrique, and G.Artana, “Estimation of the rheological curve of HPAM solutions from measurements using the Brookfield viscometer,” J. Pet. Sci. Eng., vol. 216, p. 110793, Sep. 2022, doi: 10.1016/j.petrol.2022.110793.
    https://doi.org/10.1016/j.petrol.2022.110793 [Google Scholar]
  15. [15]T.Duriez, S. L.Brunton, and B. R.Noack, Machine Learning Dynamics and Taming Nonlinear Control -Turbulence,vol.33,no.8.2013.
    [Google Scholar]
  16. [16]A. S.Alqahtani, “New Polymer Rheology Models Based on Machine Learning,” 2
    [Google Scholar]
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