Application of machine learning techniques to predict viscosity of polymer solutions for enhanced oil recovery
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Energy,Economics and Econometrics,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12667-023-00635-7.pdf
Reference31 articles.
1. Thomas, S.: Enhanced oil recovery—an overview. Oil Gas Sci. Technol. l’IFP. 63, 9–19 (2008)
2. Firozjaii, A.M., Saghafi, H.R.: Review on chemical enhanced oil recovery using polymer flooding: fundamentals, experimental and numerical simulation. Petroleum. 6, 115–122 (2020)
3. Shakeel, M., Pourafshary, P., RehanHashmet, M.: Hybrid engineered water-polymer flooding in carbonates: a review of mechanisms and case studies. Appl. Sci. 10, 6087 (2020)
4. Ulasbek, K., Hashmet, M.R., Pourafshary, P., Muneer, R.: Laboratory investigation of nanofluid-assisted polymer flooding in carbonate reservoirs. Nanomaterials 12, 4258 (2022)
5. Wang, J., Dong, M.: Optimum effective viscosity of polymer solution for improving heavy oil recovery. J. Pet. Sci. Eng. 67, 155–158 (2009)
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1. Laboratory Investigation and Empirical Modelling of Polymer Solution Viscosity;Materials Science Forum;2024-03-22
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