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Artificial Intelligence, Machine Learning and Intelligent Drilling Systems

Monday, 16 October
Room 212 A-B
Technical Session
The rapid advances of Artificial Intelligence (AI) and Data Science (ML) led to the development of intelligent drilling models, software, and systems. This session showcases the applications of AI/ML and intelligent digital systems, including automatic driller optimization, automatic well-path generation, drilling advisory system, and various AI/ML-enabled models.
Session Chairperson(s)
David Gibson - Gibson Reports
  • 1400-1425 215087
    Automatic Driller Optimization Application Using Machine Learning And Artificial Intelligence Drives Consistent Performance In An Operator’s West Texas Drilling Program
    R. Abbas, Chevron; A. Simon, SLB; D. Dunbar, Patterson; R. Serrano, NOV; A. Creegan, E. Prochaska, NOV Inc.
  • 1425-1450 215132
    The Secrets To Successful Deployment Of AI Drilling Advisory Systems At A Rig Site: A Case Study
    M. Behounek, Apache Corp.; P. Ashok, Intellicess Inc.
  • 1450-1515 214943
    Improved Estimation Of Net Pay And Gas To Oil Ratio Using Intuition AI With Limited PVT Data
    R. Chakraborty, H. Elshahawi, M. Raghorte, Senslytics Corporation; M. Malik, Chevron Corporation; S. Hanson, Chevron; L. Samano, Chevron Products Co.; S. Dasgupta, Chevron
  • 1545-1610 214783
    Stuck Pipe Prediction in Utah FORGE Geothermal Wells
    A. Montes, P. Ashok, E. van Oort, The University of Texas At Austin
  • 1610-1635 214773
    Improving Velocity Modeling with Surface Drilling Data Using Machine Learning
    B. Gong, A. Hossain, K.A. Sanclemente, O.G. Alli, B. Harvey, K. Wang, Chevron
  • 1635-1700 215021
    A New Paradigm For Automatic Well Path Generation Using Multidisciplinary Constraints
    E. Cayeux, NORCE Norwegian Research Center; G. Pelfrene, R. Mihai, E. Dvergsnes, NORCE Norwegian Research Centre; B.P. Tjostheim, Equinor ASA; A. Baume, TotalEnergies; R. Khosravanian, Halliburton; T. Kristiansen, Aker BP ASA
  • Alternate 215063
    Closed-loop Digital Workflow To Drive Drilling Performance
    D. Li, A. Cherel, P. Zhang, K. Hoe Tang, C. Byrd, D. Mendoza, E. Procel, SLB
  • Alternate 214851
    Risk Assessment Of Drilling Tool Failure—A Data Driven Technique Assisted By Expert Knowledge
    J. Hutahaean, K. Simon, E. Sakautzky, Baker Hughes
  • Alternate 215046
    First Complete Digital Drilling Package Deployment For Risks Reduction And Performance Optimization: Africa Case History
    P. Ferrara, Eni; L. Dal Forno, Eni E&P; G. Magni, Eni; D. Santoro, ENI S.P.A.; C. Sanasi, eni; L. Mutidieri, ENI S.P.A.

Prepare for an Unforgettable Opening Session!

Through an insightful discussion, we aim to provide a comprehensive understanding of the past, present, and future of innovation within the Oil & Gas industry, inspiring a new era of energy professionals committed to shaping a resilient and sustainable energy landscape.


Moderator: Elena Melchert | Podcast Host and Consultant | Oil and Gas Global Network