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Knowledge Sharing ePoster

Tuesday, 13 October
Room B2, Boulevard Level
Poster
  • 1315-1335 234555
    Evaluating the Carbon Impact of Aging Oil & Gas Infrastructure in Indonesia’s Upstream Sector
    D. Siregar, SKK Migas; W. Febrianto, PHE OSES
  • 1315-1335 234384
    A Self-powered Intelligent Water Distributor Enabled by a Magnetically Levitated Turbine Generator: Design and Field Trial
    T. Fu, Q. Yang, C. Liao, C. Yu, Research Institute of Petroleum Exploration and Development, PetroChina
  • 1315-1335 234428
    Pressure-Production Test Analysis (RTA) Using Python: Validation Against Specialised Commercial Software
    J.M. Rodriguez Mateos, O. Orozco Aguilar, G. Mares Marin, H.I. Ramos Hernandez, Pemex E&P; K. Zecua Cruz, Instituto Tecnológico y de Estudios Superiores de Monterrey
  • 1315-1335 234392
    Supervised Reservoir Facies Classification For Pre-Paleogene Buried Hill Formation and Hydrocarbon Geological Significance, Offshore South China
    B. Liu, Baker Hughes; J. Wu, Y. Gao, CNOOC - Zhanjiang Ltd.; L. Wang, M. Lang, Baker Hughes
  • 1315-1335 234546
    Unlocking New Potential in EOR: A Comprehensive Field Investigation to Implementation of Vibroseis EOR as a Low Cost EOR Innovation with Rapid Production Response in Pemburu Field, Indonesia
    V. Sitompul, A. Syarifudin, T. Diharja, D.T. Winata, PT Pertamina (Persero); A. Badril, PT Pertamina Hulu Rokan; H. Asy'ari, D.E. Putera, PT Elnusa; S. Paryoto, M. Yutaka, F. Maulana, F. Hutabarat, C. Nugraha, PT Pertamina (Persero)
  • 1315-1335 234385
    What Multi-PTA Surveillance Reveals About Flow Regime Evolution in a Fractured Well Completed in Near-Critical/Condensate System
    A.R. Alnasser, M. Sadah, H. Aloweiny, A. Alshuwaikhat, Saudi Aramco
  • 1315-1335 234540
    A Novel Hybrid Monitoring Method Combining Profiles of Inorganic Ions and Microbial DNA for Reservoir Flow Characterisation
    S. Watanabe, Y. Maeda, INPEX Corporation; Q. Ye, K. Sohara, H. Kobayashi, The University of Tokyo
  • Alternate 234337
    Real Time Wellbore Stability Prediction For The Natural Fractured Reservoir With Physical-based Machine Learning Techniques
    X. Shi, Q. Fang, W. Huang, X. Huang, Y. Xu, China University of Petroleum (East China); J. Cao, Shengli Oil Field, SINOPEC; A. Ramezanzadeh, Shahrood University of Technology
  • Alternate 234347
    Multiphase-Flow Physics-Informed Neural Network for Pressure Field Prediction in a Middle East Low-Permeability Carbonate Reservoir
    H. Zhang, C. Wei, Research Institute of Petroleum Exploration and Development, PetroChina; H. Chen, Xi'an Shiyou University; R. Han, Research Institute of Petroleum Exploration and Development, PetroChina; C. Yuan, Skolkovo Institute of Science and Technology; L. Sun, Research Institute of Petroleum Exploration and Development, PetroChina; B. Liang, Southwest Petroleum University; J. Yang, S. Jia, Research Institute of Petroleum Exploration and Development, PetroChina

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