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AI for Seismic Processing and Log Interpretation

Wednesday, 14 January
Technical Session Room 3
Technical Session
This session includes abstract-only submissions for 25238 and 25198. Abstract-only submissions denote that the author/speaker(s) have opted for abstract only submission, and these technical papers are not available in the Digital Proceedings/OnePetro.
Session Chairpersons
Song Hou - Viridien Group
Siddharth Misra - Texas A&M University
  • 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, A. Kumar, SLB Middle East; F. Ahmed, SLB; M. Yaacoub, SLB Middle East; E. Ravni, M. Butler, V. Kumar, SLB; T. Pillai, Occidental; K. Elaieni, Occidental Petroleum Corp.; S. Alsiyabi, Oxy Oil & Gas Corp; S. Bose, Occidental; O. Soare, Occidental of Oman Inc.; F. Dubost, Schlumberger Petrotechnical Services
  • 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, B. Rachman, Saudi Aramco
  • Alternate 25234
    Physics-informed Neural Network for Robust Petrophysical Interpretation with Learnable Physical Parameters
    S. Acharya, K. Fabian, Norwegian University of Science & Technology; 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, Q. Feng, China University of Petroleum, Beijing; K. Sepehrnoori, The University of Texas At Austin; X. Liao, J. Zhang, China University of Petroleum Beijing
  • Alternate 25219
    Ai - Powered Fracture Gradient and Caprock Evaluation to Define Optimal Plug Depths for Efficient Well Abandonment
    A. Dahlan, H. Harris Lee, J. Mohd Shah, R.N. Paramanathan, N. Abdul Wahab, PETRONAS
  • Alternate 25179
    Perfecting The Data, Not the Model: Interactive Multi-volume Deep Learning for Complex 3D Geobody Interpretations
    S. Salamoff, E. Holtar, Bluware Inc