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Leveraging AI, Machine Learning, and Twins in the Oil and Gas Digital Transformation

2022 Technical Program


Leveraging AI, Machine Learning, and Twins in the Oil and Gas Digital Transformation

Monday, 2 May
Technical / Poster Session
So what is the digital transformation? Are you tired of hearing “digitalization” buzz words but not understanding how the application of data analysis and modeling techniques can provide actual, real-life benefits? This session aims to help by spotlighting the commonalities among industries in regard to digital transformation, and how the underlying technical expertise is being shared inside and outside of the oil and gas industry. The selected papers have a particular focus on artificial intelligence, machine learning, and digital twins. Learn how these techniques can be used to predict pump failures, classify complex downhole and surface physical processes, and improve safety and profitability of operations—and perhaps they may apply to your current role!
Michael Romer - Exxon Mobil Corporation
Abram Hudson - Barrios Technology
Sponsoring Societies:
  • Institute of Electrical and Electronics Engineers, Oceanic and Engineering Society (IEEE-OES)
  • Society of Petroleum Engineers (SPE)
  • 0930-0952 31892
    Classification Of Wireline Formation Testing Responses Using Unsupervised Machine Learning Methods.
    P. Srivastava, M. Bandyopadhyay, S. Chakraborty, RIL; S. Patwardhan, MIT; H. Tran, SPE
  • 0952-1014 31852
    Case Study: Predicting Electrical Submersible Pump Failures Using Artificial Intelligence
    S. Silvia, M. Prior, Y. Baime-Gilad, Baker Hughes
  • 1014-1036 32018
    Artificial Intelligence For Automating And Monitoring Safety, Efficiency And Productivity In Industrial Facilities
    H.A. Shaji, S.K. Bishnu, N. Krishna, T.K. Mishra, M. Ramakrishna, R. Thomas K, D. David, Detect Technologies Pvt Ltd
  • 1036-1058 32123
    Rapid Decarbonization Through Maximizing Gains From Process Improvements
    M.A. Nakatsuka, B.K. Ghahremani, P. Dinh, S.S. Thapa, A.D. Ventura, V. Veedu, Oceanit
  • 1058-1120 31773
    Combining The Process And Maintenance Digital Twin To Create An Autonomous Production Platform
    B. Okhuijsen, Siemens Energy BV
  • 1120-1142 31874
    A Data Centric Digital Platform For Rigid Pipeline Engineering
    M. Minguez, K. Le Prin, S. Truche, M. Ben Abdallah, SEAL Engineering (TechnipFMC Subsidiary)
  • 1142-1204 31975
    Digital Requirement Development: Three Years Of Using Digital Methods To Improve Standardization Of Procurement Specifications
    P. Machin, M.C. Sanchez, Aker Solutions



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