1–3 March 2023
Bangkok, Thailand

IPTC Programme Schedule

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TS37 Technical Session 37: Big Data Applications and AI

Friday, 3 March
Lotus Suite 7
Technical Session
Jason Kok - GRIT Energy
Cao Gang - RIPED, CNPC
  • 1100-1130 23028
    CO2 Prediction of the Undrilled Prospects of the Arthit Field via Geological-informed Machine Learning
    N. Dendumrongsup, PTTEP
  • 1130-1200 23064
    Data-driven Modelling to Predict Poisson's Ratio and Maximum Horizontal Stress
    M. Shreif, Lebanese American U.; S. Kalam, King Fahd U. of Petroleum and Minerals; M.R. Khan, Schlumberger
  • 1200-1230 23049
    A Hybrid Physics and Active Learning Model for CFD-based Pipeline CO2 And O2 Corrosion Prediction
    H. Yang, L. Lu, K. Tsai, Shell International Exploration and Production Inc.; M. Sidahmed, Shell Global Solutions International BV
  • Alternate 23022
    AI Edge Computing for Logging while Drilling
    K. Katterbauer, S.M. Ma, A.A. Alshehri, Saudi Aramco PE&D
  • Alternate 23026
    Unlocking the Potential of Unlabeled Data in Building Deep Learning Model for Dynamometer Cards Classification by Using Self-supervised Learning
    R.A. Wibawa, R. Rosyadi, N. Maulirany, PT Pertamina Hulu Rokan; R. Fulki, PT Inconis Nusa Jaya
  • Alternate 23067
    Benchmarking of Hook-up and Commissioning Activities Using Machine Learning Pipeline on Unstructured Data
    F. Baillard, Iraya Energies; M. Azman, PETRONAS; P. Lucanas, Iraya Energies; S. Yousif, PETRONAS
  • Alternate 23013
    Research and Application of Big Data Production Measurement Method for SRP Wells Based on Electrical Parameters
    S. Chen, F. Deng, G. Chen, J. Shi, W. Jiang, RIPED, PetroChina; C. Liu, CNPC National Engineering Research Center for Oil & Gas Drilling Equipment Co., Ltd.; H. Liu, Beijing Limecho Technology Co., Ltd.
  • Alternate 23027
    Intelligent Prediction of Downhole Drillstring Vibrations in Horizontal Wells by Employing Artificial Neural Network
    H. Gamal, King Fahd U. of Petroleum and Minerals

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