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1–3 March 2023
Bangkok, Thailand

2024 Technical Program

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113 Smart Energy Revolution: Unleashing the Potential of ML/AI

Wednesday, 14 February
Room 10
  • 1100-1120 23328
    Rapid Multiphase Production Forecasting For Large, Spatially Heterogeneous Unconventional Shale Reservoirs
    M.H. Elkady, S. Misra, Texas A&M University; U. Odi, N. Meehan, Aramco Americas; K. Reddy, C. Temizel, Saudi Aramco
  • 1120-1140 23239
    Impedance Model And Seismic Data Augmentation Algorithm For Multi Deep Learning Tasks
    T. Zhou, Aramco Research Center - Beijing, Aramco Asia; Y. Ma, Aramco Asia
  • 1140-1200 23235
    Automated Carbonate And Siliciclastic Core Lithotypes Classification With Convolutional Neural Networks
    E.E. Baraboshkin, Skolkovo Institute of Science and Technology, Digital Petroleum; A.E. Demidov, Digital Petroleum; E.A. Panchenko, Closed Joint-Stock Company Modeling and monitoring of geological objects named after V.A. Dvurechens; A.I. Koeshidayatullah, King Fahd University of Petroleum & Minerals; D.M. Orlov, D.A. Koroteev, Skolkovo Institute of Science and Technology, Digital Petroleum
  • 1200-1220 23310
    Smart Computational Algorithms For Determination Of Interfacial Tension (ift) Between Water And Hydrogen - Insights Into Underground Gas Storage
    M. Khan, SLB; S. Kalam, KFUPM
  • Alternate 23250
    Oil-water Layer Interpretation Based On Improved Bird Swarm Algorithm And Lstm Combinational Model
    M. Song, PetroChina Co. Ltd.
  • Alternate 23234
    New Dimension To Field Wide Cement Evaluation Based On AI & ML For Pro-active Well Integrity Management In Matured Oil And Gas Fields
    N. Reddicharla, D. Voleti, P. Vanam, A. ALSHKEILI, M. Ali Sultan Ali, ADNOC Onshore
  • Alternate 23296
    Machine Learning As A Human Independent Tool For Testing Alternative Interpretations For Reliability In Different Reservoir Locations
    V. Aham, Y. Melshakin, A. Tchistiakov, D.M. Orlov, D.A. Koroteev, Skolkovo Institute of Science and Technology
  • Alternate 23264
    A Comparative Study On Fluid Composition Determination From Near Infrared Spectra Using Deep Convolutional Neural Networks And Partial Least Squares Regression
    W. Weinzierl, A. Cartellieri, P. Schapotschnikow, Baker Hughes
  • Alternate 23308
    Ai Predication Tool And Advanced H2S Mitigation Approach In Oil And Gas Fields
    A. Bokhari, Saudi Aramco PE&D; M. rowaie, Saudi Aramco; M. Aljezan, M. Baabdullah, Saudi Aramco PE&D
  • Alternate 23274
    Machine Learning Application For Hydraulic Fracturing Optimization In Tight Gas Field In China
    T. Wang, K. Mullen, B. Audrey, G. Kartoatmodjo, SLB
  • Alternate 23244
    Innovative Method To Predict H2S Concentrations From Advanced Mud Logs
    K. Al-Qubaisi, Saudi Aramco PE&D

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