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STATION 1: Knowledge Sharing ePosters III

09 Mar 2022
Grand Ballroom Foyer - Station 1
E-poster
Session Chairs
Jimena Cardozo - Schlumberger

Site Sort Order

PS 05

Proposal

  • 1000-1015208760A Hybrid Physics-Based and Machine-Learning Approach for Stick/Slip Prediction
    P. Sheth, I. Roychoudhury, C. Chatar, J.R. Celaya Galvan, Schlumberger
  • 1000-1015208778Prediction of Stuck Pipe Incidents Using Models Powered by Deep Learning and Machine Learning
    A. Mal, S. Ødegård, S. Helgeland, S.Z. Sinaga, M. Svendsen, eDrilling
  • 1000-1015208743How Deep Learning Can Provide Consistent Improvement on ROP Through Different Drilling Environments
    D.A. Junca Rivera, J. Bohorquez Gutierrez, E. Dontsova, J. Estrada-Giraldo, J. Martinez Ferreira, J. Webb, Enovate Upstream

Proposal JSON

[{"proposaltitle":"A Hybrid Physics-Based and Machine-Learning Approach for Stick/Slip Prediction","TechnicalDiscipline1":"8. Data Science and Engineering Analytics","proposalnumber":208760,"SessionRoleStatus":"Primary","proposaltime":"1000-1015","authorblock":"P. Sheth, I. Roychoudhury, C. Chatar, J.R. Celaya Galvan, Schlumberger"},{"proposaltitle":"Prediction of Stuck Pipe Incidents Using Models Powered by Deep Learning and Machine Learning","TechnicalDiscipline1":"8. Data Science and Engineering Analytics","proposalnumber":208778,"SessionRoleStatus":"Primary","proposaltime":"1000-1015","authorblock":"A. Mal, S. Ødegård, S. Helgeland, S.Z. Sinaga, M. Svendsen, eDrilling"},{"proposaltitle":"How Deep Learning Can Provide Consistent Improvement on ROP Through Different Drilling Environments","TechnicalDiscipline1":"1. Drilling","proposalnumber":208743,"SessionRoleStatus":"Primary","proposaltime":"1000-1015","authorblock":"D.A. Junca Rivera, J. Bohorquez Gutierrez, E. Dontsova, J. Estrada-Giraldo, J. Martinez Ferreira, J. Webb, Enovate Upstream"}]

Host Organisation

Equinor

Diversity and Inclusion Session Co-Sponsor

 

 

NOV