Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem

R. Manjunatha

8 works

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

    ArticleReservoir Engineering and Simulation MethodsScientific Reports20250 citations
    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

    ArticleReservoir Engineering and Simulation MethodsScientific Reports20250 citations
    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

    ArticleDrilling and Well EngineeringScientific Reports20250 citations
    ABI

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

    Abhinav Kumar, Paul Rodrigues, Ali Kamil Kareem +7

    ArticleHydrocarbon exploration and reservoir analysisScientific Reports20250 citations
    ABI

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

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

    ArticleHigh-Velocity Impact and Material BehaviorPhysics and Chemistry of the Earth Parts A/B/C20250 citations
    ABI

  6. Synthesizing an Innovative Nanocomposite to Improve Polymer Gel Performance

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

    Articlebiodegradable polymer synthesis and propertiesAsia-Pacific Journal of Chemical Engineering20250 citations
    ABI

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

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

    ArticleElectrokinetic Soil Remediation TechniquesPhysics and Chemistry of the Earth Parts A/B/C20250 citations
    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

    ArticleMachine Learning in Materials SciencePolymers for Advanced Technologies20260 citations
    ABI