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Работы, цитирующие эту работу

Работ: 20

Работа: Modeling apparent viscosity of waxy crude oils doped with polymeric wax inhibitors

  1. Estimation of nitrogen-crude oil interfacial tension: Application of hybrid machine learning algorithms

    Jian Shen, Anupam Yadav, Farag M. A. Altalbawy +11

    СтатьяHydrocarbon exploration and reservoir analysisPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

  2. 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

  3. Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data

    Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya +9

    СтатьяReservoir Engineering and Simulation MethodsScientific Reports2025Цитирований: 0
    ABI

  4. Robust development of data-driven models for methane and hydrogen mixture solubility in brine

    Kashif Saleem, Abhinav Kumar, KDV Prasad +7

    СтатьяAtmospheric and Environmental Gas DynamicsGeomechanics and Geophysics for Geo-Energy and Geo-Resources2025Цитирований: 0
    ABI

  5. Robust forecasting of packaging chemical migration into water and food

    Chuan'an Wei, Farag M. A. Altalbawy, Dharmesh Sur +8

    СтатьяAdvanced Chemical Sensor TechnologiesInternational Journal of Food Properties2025Цитирований: 0
    ABI

  6. Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis

    Guoliang Hou, Ahmed Alkhayyat, Ahmad Almalkawi +8

    СтатьяThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing2025Цитирований: 0
    ABI

  7. 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

  8. Carbon dioxide solubility in polyethylene glycol polymer: an accurate intelligent estimation framework

    Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

    СтатьяPolymer Foaming and CompositesScientific Reports2025Цитирований: 0
    ABI

  9. 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

  10. Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods

    Abhinav Kumar, Paul Rodrigues, Ali Kamil Kareem +7

    СтатьяHydrocarbon exploration and reservoir analysisScientific Reports2025Цитирований: 0
    ABI

  11. Permeability reduction prediction in low-salinity water flooding of clay-rich sandstones through machine learning

    Yifan Li, Farag M. A. Altalbawy, Hardik Doshi +9

    СтатьяHydraulic Fracturing and Reservoir AnalysisPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

  12. Accurate Estimation of Density of Liquid Siloxanes Via Robust Machine Learning Methods

    Huan Liu, Ayat Hussein Adhab, G. PadmaPriya +11

    СтатьяPhase Equilibria and ThermodynamicsSilicon2025Цитирований: 0
    ABI

  13. 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

  14. Application of hybrid gradient boosting machine to reliably predict rate of penetration

    Jianing Zhang, Farag M. A. Altalbawy, Tarak Vora +10

    СтатьяHigh-Velocity Impact and Material BehaviorPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

  15. 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

  16. Insightful frameworks for zeta potential of various clays in different brine compositions

    Junhou Wang, Farag M. A. Altalbawy, Suranjana V. Mayani‎ +9

    СтатьяElectrokinetic Soil Remediation TechniquesPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

  17. Robust classification frameworks for oxide nanomaterials assisted by machine learning

    Wei Ju, Usama S. Altimari, Raman Kumar +9

    СтатьяNanoparticles: synthesis and applicationsChemical Papers2025Цитирований: 0
    ABI

  18. Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

    Farag M. A. Altalbawy, Shoira Formanova, Ahmad Almalkawi +7

    СтатьяWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society2025Цитирований: 0
    ABI

  19. 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

  20. New insights into residue formation due to oxidation of crude oil via data-driven methods

    Mohammad Abushuhel, Ibrahim Khersan, Tariq Abdulkader Alrihaim +7

    СтатьяPetroleum Processing and AnalysisGeosystem Engineering2025Цитирований: 0
    ABI