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MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

SPE Logo

MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

Technical Programme

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036 AI and Machine Learning Applications III

Tuesday, 16 September
Room 19
Technical Session
Session Chairpersons
Rajesh Sharma - Schneider Electric
Klemens Katterbauer - Saudi Aramco PE&D
  • 1530-1550 227659
    Well Network-fracture Network Coupling Optimization Method For Tight Oil Reservoirs Based On The Sade-sammon Algorithm
    J. Chen, Unconventional Petroleum Research Institute; D. WANG, K. SONG, National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum
  • 1550-1610 227369
    Reserve Estimation Based On Post-stack Seismic Inversion Using Multilayer Perceptron, Random Forest, And Extra Tree Regression Algorithms
    L.M. Surachman, Geoscience Department-CPG-KFUPM; A. Abdulraheem, Petroleum Engineering Department-CPG-KFUPM; A. Al-shuhail, S.I. Kaka, Geoscience Department-CPG-KFUPM
  • 1610-1630 226993
    Mitigating Phase-Redistribution Effects In Pressure Transient Analysis Using Physics-guided Neural Networks
    M. Corrales, S. Asnin, M. Ravasi, H. Hoteit, King Abdullah University of Science & Technology (KAUST); Q. Sahu, H. Qanadeely, M. Al-Odah, R. Phillips Guerrero, EXPEC ARC, Saudi Aramco
  • 1630-1650 227181
    Revolutionizing Lower Completions Design Through Unsupervised Machine Learning Clustering: An Integration Of Well Construction Data And Reservoir Characteristics
    B. Mutairi, Saudi Aramco; Y. Wang, M. Alahmadi, Saudi Aramco PE&D; E.Z. Ferreira, Baker Hughes Do Brasil Ltda; A. Vianna, BAKER HUGHES; S. Alsurayie, Baker Hughes Co. Saudi Arabia
  • Alternate 227767
    Enhancing Seismic Feature Quality With Transformer-based Models For Mud Weight Prediction
    K.A. Khemraev, N. Zinovich, G.A. Peshkov, Aramco Innovations; N. Bukhanov, Aramco
  • Alternate 227255
    Machine Learning-based Fault Detection And Diagnosis In Distillation Column Scanning
    S.M. Ebrahim, Kuwait Institute for Scientific Research- Petroleum Research Center (PRC)
  • Alternate 227205
    A Data-driven Model To Predict Competitive Adsorption Of CH4 And CO2 During CO2-Enhanced Coal Bed Methane Process
    I. Spivakova, S. Kalam, P. Pourafshary, Nazarbayev University
  • Alternate 227013
    Distributed Machine Learning Training In Oil And Gas Industry Via Federated Learning
    Z. Bayraktar, N. Baklanov, M. Abuhaikal, SLB