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Optimizing Drilling and Monitoring Through Innovations in Digitization, AI, and Machine Learning

Monday, 5 May
606
Technical Session
This technical session will focus on innovative technologies in digitization, artificial intelligence, and machine learning aimed at improving drilling efficiency and monitoring operations. Key presentations will cover advanced techniques such as data-driven approaches for detecting energy loss from surface measurements and for classifying operations. Attendees will learn about automated systems for generating risk profiles and mud reports. The session will also explore machine learning methods for predicting rate of penetration and identifying carbonate reservoirs.
Session Chairperson(s)
Inchul Jang, Engineering Manager - MOOG Inc.
Vikramraja Janakiram Subramani, Facility Planning - TC Energy Corp
  • 1030-1048 35607
    Large Language Model-Based Workflow for Optimizing Offset Well Data Analysis and Generating Well Design Risk Profiles
    P. Kowalchuk, Microsoft; A. Grotte, Aker BP ASA; S. Brandsberg-Dahl, Microsoft; V. Sabharwal, Halliburton Landmark; U.V. Jensen, Informatiq
  • 1050-1108 35513
    Identification of Porous Systems in Complex Carbonates Using Artificial Intelligence
    L.A. Castellanos Bassoult, R. Alcantara Viruete, L.A. Perez Hernandez, R. Perez Vazquez, PEMEX E&P; A. Velasquez, IkalOilMx
  • 1110-1128 35929
    Optimizing Drilling Efficiency: A Fast Fourier Transform Approach to Energy Loss Detection From Surface Measurements
    F.J. Márquez Morales, T. Bajaj, C. Gil, Laversab
  • 1130-1148 35771
    A Hybrid Deep Learning Approach for Rate of Penetration Prediction in Deepwater Drilling
    W. Zhu, Y. Song, L. Zhang, M. Dong, Y. Liu, K. Chen, H. Zhu, China University of Petroleum (Beijing)
  • 1150-1208 35572
    Developing a Data-driven Operation Classifier and Stand Counter Tool to Improve Drilling Operations
    J. Santos, Radix Engenharia & Software; G. Payette, Exxon Mobil Corporation; K. Cotta, L. Vechi, M. Martuscelli, W. Rodrigues, R. Nobre, L. Florindo, C. Batista, H. Carminati, B. Machado, I. Ribeiro, Radix Engenharia & Software
  • 1210-1228 35625
    Automatic Daily Drilling Mud Report Processing Using Generative AI to Maximize the Operational Efficiency
    J. Wang, J. Yoon, A. Marzban, R. Castanos, N. Fruge, I. Holman, NOV

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