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Работы, цитирующие эту работу

Работ: 7

Работа: Modeling of CO<sub>2</sub>-brine interfacial tension: Application to enhanced oil recovery

  1. Predictive modeling of oil rate for wells under gas lift using machine learning

    Fang Ma, Farag M. A. Altalbawy, Pinank Patel +9

    СтатьяReservoir Engineering and Simulation MethodsScientific Reports2025Цитирований: 0
    ABI

  2. Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones

    Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora +10

    СтатьяHydraulic Fracturing and Reservoir AnalysisJournal of Petroleum Exploration and Production Technology2025Цитирований: 0
    ABI

  3. Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations

    Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora +9

    СтатьяDrilling and Well EngineeringScientific Reports2025Цитирований: 0
    ABI

  4. Mitigating fines migration in low salinity water flooding of clay rich sandstones using TiO2 Saponin Zr nanocomposites

    Yifan Li, Farag M. A. Altalbawy, Nikunj Rachchh +9

    СтатьяEnhanced Oil Recovery TechniquesScientific Reports2025Цитирований: 0
    ABI

  5. Predicting filter cake thickness in drilling fluids using machine learning techniques

    Minghui OU, Mohammed Al-Bahra, Raman Kumar +10

    СтатьяDrilling and Well EngineeringPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

  6. Accurate Data-Driven Frameworks to Estimate Solubility of Ammonia in Ionic Liquids

    Tao Xu, Ahmad Alkhayyat, Zainab Ahmed Hamodi +9

    СтатьяIonic liquids properties and applicationsJOURNAL OF CHEMICAL ENGINEERING OF JAPAN2025Цитирований: 0
    ABI

  7. Hybrid gradient boosting machine for precise prediction of biomass net output power in terms of proximate analysis

    L W Zhang, Ahmad Alkhayyat, Ahmad Almalkawi +8

    СтатьяThermochemical Biomass Conversion ProcessesEnergy Exploration & Exploitation2025Цитирований: 0
    ABI