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R. Manjunatha

Работ: 8

Department of Data analytics and Mathematical Sciences, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India

  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. 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

  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. 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

  5. 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

  6. Synthesizing an Innovative Nanocomposite to Improve Polymer Gel Performance

    Huijun Qi, Farag M. A. Altalbawy, Tarak Vora +9

    Статьяbiodegradable polymer synthesis and propertiesAsia-Pacific Journal of Chemical Engineering2025Цитирований: 0
    ABI

  7. 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

  8. Predicting the Storage Modulus of Chromium‐Crosslinked Polymer Gels Through Advanced Machine Learning Techniques

    Farag M. A. Altalbawy, Raed H. C. Alfilh, Tarak Vora +8

    СтатьяMachine Learning in Materials SciencePolymers for Advanced Technologies2026Цитирований: 0
    ABI