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Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration

  • Miras Issakhov
  • , Maral Khanjani
  • , Adiya Muratkhozhina
  • , Peyman Pourafshary
  • , Saule Aidarova
  • , Altynay Sharipova
  • Kazakh-British Technical University
  • Nazarbayev University
  • Satbayev University

Research output: Contribution to journalArticlepeer-review

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Abstract

Application of surfactant-based foam flooding is an effective approach to reduce mobility and control early breakthrough. Despite the proper performance of surfactant-based foams in decreasing the channeling of the flooded gas and water, high pressure, high temperature, and high salinity of the reservoirs put some limitations on the foam flooding efficiency. Nanoparticles are used to improve the quality of the foams, enhance stability, and transcend the limitations. Although there are many benefits of using nanoparticles in foam flooding, their performance at surfactant critical micelle concentration (CMC) is not fully investigated and the optimum nanoparticle concentration is not specified. In this study, an experimental investigation using nanosilica with surfactants at CMC to improve the stability (half-life) and mobility reduction factor (MRF) has been conducted. Furthermore, data from the literature were collected and analyzed to evaluate the change in MRF and stability for a nanofluid-based foam at CMC. Both experimental results and literature data showed that application of nanofluid-based foam is a successful approach to develop a more stable foam with lower mobility. Nanoparticle (NP) concentration is the dominant parameter at different salinities and temperatures that affects foam flow through porous media. The range of 0.2–0.4 wt% is the optimum nanoparticle concentration to develop a strong foam with acceptable performance in controlling mobility.

Original languageEnglish
Article number7856
JournalScientific Reports
Volume14
Issue number1
DOIs
Publication statusPublished - Dec 2024

Funding

The authors would like to thank the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan for supporting this research (Grant Number: AP14869372). The research is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant Number: AP14869372).

FundersFunder number
Ministry of Education and Science of the Republic of KazakhstanAP14869372

    ASJC Scopus subject areas

    • General

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