Skip to main content
Loading

Technical Session 10: Artificial Intelligence

Thursday, 6 August
Orchid Room, Level 1
Technical Session
Session Chairpersons
Mark Rayfield - Baker Hughes
Matt Regan, VP Business Development - Exebenus
  • 1420-1440 233161
    Advanced Real Time and Multi Physics Engineered Bullheading of Sacti Resin for Sand Control in Ultra Complex Swamp Gas Wells
    R. Aditya, A. Suhartanto, A. Alzhafran, PT Pertamina Hulu Mahakam
  • 1440-1500 233074
    Intelligent Edge-enabled Real-time Drilling Optimization With Machine Learning And Multi-domain Data Fusion
    M. Omer, M. Duarte Ballesteros, Weatherford International
  • 1500-1520 233133
    Achieving Zero Stuck Pipe Incidents In Horizontal Wells Through AI-based Real-time Risk Mitigation And ROP Optimization: A Story From BHA Graveyard In Offshore East Java Indonesia
    Y. Yusicha, M. Akbar, J. Tobing, F. Ardhiansyah, D. Kusumawardhani, Petronas Carigali Ketapang II Ltd; N. Hanafiah, M. Regan, Exebenus
  • Alternate 233083
    Reservoir Performance Management through Physics-Constrained Machine Learning and Bayesian Inference
    A. Aladasani, Consultant; Q. Okasha, Kuwait Oil Company
  • Alternate 233089
    Physics-informed Machine Learning Model For Real-time Prediction And Optimization Of Annular Pressure Loss In HPHT Wells
    S. Kumar, A. Sharma, A. Raj, S.K. PRASAD, Rajiv Gandhi Institute of Petroleum Technology
  • Alternate 233045
    Ai/ml-based Algorithm For Enhancing Drilling Efficiency, Optimal Hole Cleaning, And Ilt Mitigation In Highly Deviated Boreholes
    R. Ashena, Oklahoma Department of Commerce
  • Alternate 233155
    Machine Learning-based Rate Of Penetration Prediction Using Multi-well Field Data In Deviated Wells
    N. Ahmed, University of Oklahoma MPGE; R. Ahmed, University of Oklahoma; V. Soriano, UNNA Energía; R. Elgaddafi, Australian University – Kuwait

Countdown