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5 hasil untuk "Hashmet, Muhammad Rehan"

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  1. Artikel Jurnal Teks lengkap

    Investigation of Brine pH Effect on the Rheological and Viscoelastic Properties of HPAM Polymer for an Optimized Enhanced Oil Recovery Design

    Shakeel, Mariam; Pourafshary, Peyman; Hashmet, Muhammad Rehan

    ACS Omega · 2022 · Inggris · PubMed Central

    [Image: see text] A novel approach to improve viscous and viscoelastic properties by exploiting the pH and salinity sensitivity of HPAM polymer is proposed in this paper. Polymer flooding is a well-developed and effective enhanced oil recovery technique. The design of the makeup brine is one of the…

  2. Artikel Jurnal Teks lengkap

    Catalytic Effects of Temperature and Silicon Dioxide Nanoparticles on the Acceleration of Production from Carbonate Rocks

    Salaudeen, Ibraheem; Hashmet, Muhammad Rehan; Pourafshary, Peyman

    Nanomaterials (Basel) · 2021 · Inggris · PubMed Central

    The use of engineered water (EW) nanofluid flooding in carbonates is a new enhanced oil recovery (EOR) hybrid technique that has yet to be extensively investigated. In this research, we investigated the combined effects of EW and nanofluid flooding on oil-brine-rock interactions and recovery from…

  3. Artikel Jurnal Teks lengkap

    Laboratory Investigation of Nanofluid-Assisted Polymer Flooding in Carbonate Reservoirs

    Ulasbek, Kassymzhomart; Hashmet, Muhammad Rehan; Pourafshary, Peyman dkk.

    Nanomaterials (Basel) · 2022 · Inggris · PubMed Central

    In the petroleum industry, the remaining oil is often extracted using conventional chemical enhanced oil recovery (EOR) techniques, such as polymer flooding. Nanoparticles have also greatly aided EOR, with benefits like wettability alteration and improvements in fluid properties that lead to better…

  4. Artikel Jurnal Teks lengkap

    Unlocking the Power of Artificial Intelligence: Accurate Zeta Potential Prediction Using Machine Learning

    Muneer, Rizwan; Hashmet, Muhammad Rehan; Pourafshary, Peyman dkk.

    Nanomaterials (Basel) · 2023 · Inggris · PubMed Central

    Nanoparticles have gained significance in modern science due to their unique characteristics and diverse applications in various fields. Zeta potential is critical in assessing the stability of nanofluids and colloidal systems but measuring it can be time-consuming and challenging. The current…

  5. Artikel Jurnal Teks lengkap

    Comparative assessment of machine learning models for polymer solution viscosity prediction in enhanced oil recovery

    Belkhir, Sami Abderraouf; Pakeer, Altamish Ahmed; Shakeel, Mariam dkk.

    Sci Rep · 2026 · Inggris · PubMed Central

    Polymer flooding is among the most researched and utilized methods to improve oil recovery. Polymer solution viscosity is the primary governing parameter that aids in lowering the mobility of the injected fluid and augmenting the volumetric sweep efficiency. However, the design of a polymer…