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1–3 March 2023
Bangkok, Thailand

2024 Technical Program

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129 Seismic Intelligence: Unveiling Earth Secrets with ML/AI

Wednesday, 14 February
Room 11
  • 1400-1420 23444
    Seismic Fault Detection By Deep Learning: Scaling To Large Model
    B. Sun, Saudi Aramco
  • 1420-1440 23464
    Machine Learning Classifier For Detecting Non-1d Features Using Deep Directional Resistivity Measurements
    X. Zhong, J. Jith, Y. Chang, J. Gremillion, SLB
  • 1440-1500 23449
    Horizon Extraction Via Hybrid Machine Learning And Optimization Framework
    D. Thomas-Possee, G. Baines, Halliburton
  • 1500-1520 23436
    Artificial Intelligence Automates Static Model Building.
    A. Aravindhakshan, S. Bakdi, S. Singha Roy, S. Senapati, A. Mukherjee, B. Chennakrishnan, Telesto Energy
  • Alternate 23442
    Fault-transformer: A High-accuracy Neural Network For Seismic Fault Detection
    T. Zhou, Aramco Research Center - Beijing, Aramco Asia; Y. Ma, Y. Sui, Aramco Asia; N. AlBinHassan, Saudi Aramco PE&D
  • Alternate 23435
    Machine Learning Augments Quantitative Interpretation - A Crucial Guide To Static Model And Geomechanical Model Building
    A.K. Ray, R. Dandapani, Telesto Energy; S. Devulapalli, Blade Energy Partners; S. Biswal, GSPC
  • Alternate 23445
    Enhancing Reservoir Potential Assessment With Machine Learning Techniques: A Systematic Approach In The X Field
    A. Suwandi, A. Lumban Gaol, S. Chandra, Institut Teknologi Bandung
  • Alternate 23429
    Unsupervised Clustering On Paleochannel Detection With Curvature-based Attribute
    B. Hungund, F. JIANG, Halliburton
  • Alternate 23479
    Hierarchical Human Guided Intelligent Stratigraphic Cross-correlation
    S. Alshahrani, Saudi Aramco Exploration; Y. Li, Beijing Research Center of EXPEC ARC Saudi Aramco
  • Alternate 23451
    Visualizing Geoscience Data Interpretation Into Photorealistic Modern Analog Using Generative AI: A Preliminary Result From Carbonate Platform Environment
    A. Ramdani, King Abdullah University of Science and Technology; A. Perbawa, King Abdullah University of Science & Tech; V. Vahrenkamp, King Abdullah University of Science and Technology

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