Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
← Назад к работе

Работы, цитирующие эту работу

Работ: 7

Работа: Theoretical and numerical methods for predicting the structural stiffness of unbonded flexible riser for deep-sea mining under axial tension and internal pressure

  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. 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

  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. 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

  7. Data-driven prediction of oil well production rates using reservoir fluid and electrical submersible pump parameters

    Zan Li, Barno Abdullaeva, Amit Ved +11

    СтатьяOil and Gas Production TechniquesPhysics and Chemistry of the Earth Parts A/B/C2026Цитирований: 0
    ABI