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29 September – 1 October 2026 | Dubai World Trade Centre, Dubai, United Arab Emirates

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Conference Programme 2026

gotech

  • NEW DATES | 29 September – 1 October 2026

 

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Knowledge Sharing ePoster - Station 2 - Thursday, 1 October 2026

Thursday, 1 October
Knowledge Sharing ePoster Station 2
Poster
Knowledge Sharing Technical Conference ePosters allow one-on-one interactions with presenters and opportunities to study a particular concept at an appropriate level of detail. Subject matter varies, but topics are consistent with the other technical sessions.
  • 1030-1045 232277
    Stopping Corrosion Before It Starts: Real-time Multisensor Ai Forecasting For Hydroprocessing Units
    T. Guha, ENGINEERS INDIA LIMITED
  • 1045-1100 232066
    Real‑Time DTS‑Guided Two‑Stage Stimulation In Horizontal Carbonates Using Advanced Diverters
    A. Algora, A. Abdulrasool, Kuwait Energy Basra Limited; A. Keong, A. Elkaragi, A. Al-Ali, A. Al-Hilo, M. Muthfar, A. Sherik, T. Siregar, SLB
  • 1100-1115 232064
    Continuity-Constrained Hybrid Kinetic and Machine-Learning Forecasting of Nanofluid-Conditioned Shale Swelling
    A.H. Hassnain, Y.B. Arif, NED University of Engineering & Technology; U. Naveed, DigiTech Excellence Solutions; S.M. Lalji, NED University of Engineering & Technology; A. Misbah, China University Of Petroleum, Beijing; O. Tahir, Hunting PLC
  • 1115-1130 231995
    Strategic Pressure Management Strategies in Producing Wells to Offset Adverse Production Impact During Pigging Operations
    R. Aljarwan, M. Fiaz, K. Almaeeni, M. Alshehhi, Dragon Oil Holdings Ltd.; M. Abdellatif, Dragon Oil Limited; A. Reda, Gulf of Suez Petroleum Co.; M. DASHTBAYAZ, Dragon Oil Limited
  • 1230-1245 232127
    Metadata-driven Automation Of Corporate Business Intelligence Systems Using AI And Python Pipelines
    S. Tharayil, N.F. Alzahrani, A. SYED, A.M. ZulQarnain, B. Koppuravuri, Saudi Aramco
  • 1245-1300 232103
    Electrical Submersible Pump Failure Classification Using Machine Learning Models with Advanced Data Splitting Techniques for Field Application
    M. Sobhy, American University in Cairo; H. Elnaggar, University of Wyoming; K. Raslan, BADR Petroleum Co.; H. Alhashmi, Abu Dhabi National Oil Company; A. El-banbi, The American University In Cairo
  • 1300-1315 232266
    Physics-simulated Zero-shot Artificial Intelligence Model For ESP Failure Prediction
    T. Zharkynbek, S. Caicedo, C. Hernandez Labrador, U. Asif, L. ZHANG, W. Almadhoun, ADNOC AIQ; K. Alsaeedi, M. Alqaydi, M. AL RADHI, A. Abdelkerim, ADNOC Offshore; J. Padron, M. Alkatheeri, ADNOC Al Dhafra Petroleum
  • 1315-1330 232836
    An Integrated Machine Learning-Enabled Workflow for Seismic-Driven Reservoir Characterization Using AVO Attributes, Extended Elastic Impedance, Colored Inversion, and Non-Stationary Property Modeling
    Y. Goraya, M. AYA Nashaat, A. Al Hamoudi, H. Buhindi, ADNOC Offshore
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