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AI-Driven Production Optimisation and Reservoir Management II

Wednesday, 14 January
Technical Session Room 1
Technical Session
  • 1100-1120 25205
    Successful Application Of Machine Learning To Generate Petrophysically-consistent Acoustic Slowness During Logging While Drilling
    L. Wu, A. Hanif, Baker Hughes
  • 1120-1140 25238
    Integrated ML Workflow For Joint Fault And Horizon Extraction On Mega Seismic Surveys In The Middle East
    G. Loginov, Viridien; K.A. Obaid, Abu Dhabi National Oil Company; A. Triki, S. Hou, VIRIDIEN
  • 1140-1200 25217
    Machine Learning Based Automated Pressure Testing In Carbonate Formations Of Uae
    M. Sarili, SLB Middle East; T. Pillai, S. Bose, Occidental; O. Soare, Occidental of Oman Inc.; A. Kumar, SLB Middle East; M. Butler, SLB
  • 1200-1220 25252
    Hydrocarbon Identification Using Supervised Machine Learning: Seismic Image Segmentation And Multi-attribute Analysis Validated By Production And Log Data
    O. Al-Farisi, M. Gibrata, G. Ameish, Y. Djanuar, J. Lozano, L. Rouis, Dragon Oil PLC.
  • Alternate 25191
    Hybrid AI Framework For Predicting Geomechanical Risks And Hole Instability During Well Planning
    S. Abaalharith, B. Zomarah, B. Otaibi, Saudi Aramco
  • Alternate 25234
    A Self-correcting, Physics-informed Neural Network For Robust Petrophysical Interpretation With Learnable Physical Parameters
    S. Acharya, Norwegian University of Science & Technology; K. Fabian, Norwegian University of Science and Technology; A. Yazidi, Oslo University; K. Westeng, Aker BP ASA
  • Alternate 25198
    Deep Learning-based Deghosting In Marine Seismic Data Processing
    R. Van Borselen, Shearwater Geoservices
  • Alternate 25257
    A New Well Testing Interpretation Method Based On Artificial Neural Network And Iterative Closest Point For Multi-stage Fracturing Horizontal Wells
    X. Guo, C. Zhiming, X. Sun, C. Huang, J. Xin, China University of Petroleum, Beijing; K. Sepehrnoori, The University of Texas At Austin
  • Alternate 25219
    Ai - Powered Fracture Gradient And Caprock Evaluation To Define Optimal Plug Depths For Efficient Well Abandonment
    A. Dahlan, PETRONAS (Kuala Lumpur); H. Harris Lee, PETRONAS; J. Mohd Shah, Petronas Carigali Sdn Bhd
  • Alternate 25179
    Perfecting The Data, Not The Model: Interactive Multi-volume Deep Learning For Complex 3d Geobody Interpretations
    S. Salamoff, Bluware, Inc; E. Holtar, Bluware Inc

The IPTC Excellence Awards celebrate excellence and achievements in major technological, humanitarian, safety, environmental, and leadership contributions to the industry.