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International Drilling Conference and Exhibition 2023

International Drilling Conference and Exhibition 2023

2023 Conference Program

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14 Real Time Signal Interpretation

Wednesday, 8 March
Lysefjorden A
Technical Session
New developments in data analytics paired with solid domain understanding present an opportunity to develop new interpretation methods with Realtime data. This unearths opportunity to gain new perspectives with old data. This session covers a wide range of topics from interpretation of these signals to how to use this data to describe the drilling process. Interoperability of real time signals is also covered. This session is sure to capture the imagination of anyone interested in using real time data to generate insight in their operations.
Session Chairperson(s)
Crispin Chatar - SLB
Khaydar Valiullin - WellsX
  • 1345-1415 212537
    A General Framework to Describe Drilling Process States
    E. Cayeux, Norwegian Research Centre; J.D. Macpherson, Baker Hughes; D. Pirovolou, Weatherford; M. Laing, Halliburton; F. Florence, Rig Operations
  • 1415-1445 212472
    Interoperability of Real-time Drilling Signals at the Rig Site: An Example Based on Mechanical Specific Energy
    E. Cayeux, B. Daireaux, Norwegian Research Centre; J.D. Macpherson, Baker Hughes; F. Florence, Rig Operations; E. Solbu, NOV
  • 1445-1515 212509
    Towards the Correct Interpretation of Real-time Signals on the Well-site
    B. Daireaux, NORCE; H. Brackel, Baker Hughes Company; R. Ewald, NORCE; P. Markussen, Prediktor AS; M.D. Johansen, Sekal; M. Parak, G. Yadav, Halliburton; A. Ismayilov, TotalEnergies
  • Alternate 212457
    Automatic Determination of Drill-string Geometry for Numerical Drilling Models
    B. Daireaux, L. Carlsen, E.W. Dvergsnes, NORCE; M.D. Johansen, Sekal; M. Balov, Equinor
  • Alternate 212476
    Cloud-Based Real-Time Well Engineering - Coupling Torque-and-Drag and Uncertainty Modeling
    Y. Chi, V. Kemajou, A. Rajan, R. Samuel, Halliburton
  • Alternate 212486
    Field Deployment of a LSTM Neural Network Approach for the Rock Formation Consolidation Inference of Brazilian Sandstone Reservoirs
    F. Rodrigues Gonçalves da Silva, V.H. Ribeiro Carriço, Engineering Simulation and Scientific Software; A. Zacarias Ignácio Pereira, A.L. Martins, Petrobras
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