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Artificial Intelligence, Machine Learning, and Advanced Analytics for Enhanced Operations and Recovery

Thursday, 9 May
Technical / Poster Session
This session is dedicated to the transformative role of advanced analytics in offshore industries. Explore pioneering research in flow assurance, resource recovery, drilling, well management, and production. Learn how artificial intelligence, machine learning, and data analytics can be applied to tackle complex engineering challenges.
Ahmed Tahoun, Chief Executive Officer - MIT Technologies
Jerry Swearingen, Global Manager - Production Chemistry Services - SGS
Sponsoring Society:
  • Institute of Electrical and Electronics Engineers, Oceanic and Engineering Society (IEEE-OES)
  • 0930-0948 35362
    Physics-Informed Neural Networks for Gas Hydrate Plugging Risk Assessment Using Intrinsic Kinetics and Flowloop Data
    S.D. Dale, Colorado School of Mines; D. Turner, S. Afra, ExxonMobil Upstream Integrated Solutions; A. Teixeira, L. Saraiva Valim, Petrobras; C. Koh, D. Mehta, Colorado School of Mines
  • 0950-1008 35244
    Enhancing Value Generation From Reservoir Brine Via an AI-Driven Lithium Recovery Optimization Methodology - A Volve Field Reservoir Benchmark Analysis
    K. Katterbauer, P. Patil, A. Alshehri, A. Yousef, Saudi Aramco PE&D
  • 1010-1028 35395
    Data Integration Enabling Advanced Machine Learning ROP Predictions and its Applications
    J. Wang, University of Tulsa; C. Li, P. Cheng, J. Yu, C. Cheng, CNPC USA; E. Ozbayoglu, S. Baldino, University of Tulsa
  • 1030-1048 35276
    Development of Machine Learning Models for Predicting Bubble-Point Pressure of Crude Oils
    P. Nekekpemi, M. Totaro, O. Olayiwola, P. Esenenjor, University of Louisiana At Lafayette
  • 1050-1108 35332
    Well Design Process Supported by Artificial Intelligence
    A.C. Ramos Junior, C.B. da Cunha, C.d. Santos, Petrobras; J. Anjos, Petrobras -Petroleo Brasileiro; M. Marques, M.F. Leal, P.S. da Fonseca, R. Da Cunha Pereira Pinto, Petrobras; F.B. Oliveira, Centro de Estudos Avançados do Recife
  • 1110-1128 35437
    Real-Time Choke Erosion Prediction Using Real-Time Advisory Tool
    M. Al-Kadem, M. Daanyal, R. Bayounis, A. Alghamdi, Saudi Aramco
  • 1130-1148 35230
    Application of Neural Operator Technique for Rapid Forecast of CO2 Pressure and Saturation Distribution
    Y. Falola, Texas A&M University; P.S. Rathore, G. Nair, J. Toms, Halliburton
  • Alternate 35168
    Generative Human-Machine Interaction in Oil and Gas
    S. Gonzalez, Microsoft
  • Alternate 35433
    Novel Machine Learning Approach for Predicting the Gel Strength of the Drilling Fluid While Drilling
    A. Gowida, S. Elkatatny, King Fahd University of Petroleum & Minerals

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