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Digitalization - Rig Performance

09 Mar 2022
Grand Ballroom C
Technical Session
Session Chairs
Khaydar Valiullin - WellsX
Bruce Kitchel - ConocoPhillips

Site Sort Order

12

Proposal

  • 0800-0830208764A Better Set of Eyes: Computer Vision Technology To Automate Drill Pipe Tally and Monitor Safety Zones
    D. Watson, Helmerich & Payne; K. Morton, CoVar Applied Technologies; S. Kern, Helmerich & Payne
  • 0830-0900208773Vision Analytics for Decreasing HSE Risk and Improving Worksite Efficiency
    C. Chatar, A.S. Konchenko, Schlumberger; M. Goncharov, Cherry Labs
  • 0900-0930208741Towards A Practical, Generally-Applicable Condition-Based Maintenance (CBM) System for Mud Pumps
    D. Yoon, S. Gul, P. Ashok, E. van Oort, The University of Texas At Austin
  • 0930-1000208755Rules Engine Exchange: Driving Operational Excellence Through an Advanced Real-Time Alerting System
    A. Groh, T.K. Olson, C. Nenninger, A. Godumagadda, E. Corne, Patterson-UTI Drilling Company
  • 208767Digitalized Operation Procedures Provide Rig Automation System With Context To Manage Longer and Broader Sequences of Activities
    P. Farmanbar, A. Berge, O. Revheim, A. Chekushev, S. Schaefer, Exebenus
  • 208779Event Detection in Drilling Remarks Using Natural Language Processing
    Z. Zhang, T. Hou, J. Kherroubi, D. Khvostichenko, Schlumberger

Proposal JSON

[{"proposaltitle":"A Better Set of Eyes: Computer Vision Technology To Automate Drill Pipe Tally and Monitor Safety Zones","TechnicalDiscipline1":"8. Data Science and Engineering Analytics","proposalnumber":208764,"SessionRoleStatus":"Primary","proposaltime":"0800-0830","authorblock":"D. Watson, Helmerich & Payne; K. Morton, CoVar Applied Technologies; S. Kern, Helmerich & Payne"},{"proposaltitle":"Vision Analytics for Decreasing HSE Risk and Improving Worksite Efficiency","TechnicalDiscipline1":"8. Data Science and Engineering Analytics","proposalnumber":208773,"SessionRoleStatus":"Primary","proposaltime":"0830-0900","authorblock":"C. Chatar, A.S. Konchenko, Schlumberger; M. Goncharov, Cherry Labs"},{"proposaltitle":"Towards A Practical, Generally-Applicable Condition-Based Maintenance (CBM) System for Mud Pumps","TechnicalDiscipline1":"8. Data Science and Engineering Analytics","proposalnumber":208741,"SessionRoleStatus":"Primary","proposaltime":"0900-0930","authorblock":"D. Yoon, S. Gul, P. Ashok, E. van Oort, The University of Texas At Austin"},{"proposaltitle":"Rules Engine Exchange: Driving Operational Excellence Through an Advanced Real-Time Alerting System","TechnicalDiscipline1":"1. Drilling","proposalnumber":208755,"SessionRoleStatus":"Primary","proposaltime":"0930-1000","authorblock":"A. Groh, T.K. Olson, C. Nenninger, A. Godumagadda, E. Corne, Patterson-UTI Drilling Company"},{"proposaltitle":"Digitalized Operation Procedures Provide Rig Automation System With Context To Manage Longer and Broader Sequences of Activities","TechnicalDiscipline1":"1. Drilling","proposalnumber":208767,"SessionRoleStatus":"Alternate","proposaltime":" ","authorblock":"P. Farmanbar, A. Berge, O. Revheim, A. Chekushev, S. Schaefer, Exebenus"},{"proposaltitle":"Event Detection in Drilling Remarks Using Natural Language Processing","TechnicalDiscipline1":"8. Data Science and Engineering Analytics","proposalnumber":208779,"SessionRoleStatus":"Alternate","proposaltime":" ","authorblock":"Z. Zhang, T. Hou, J. Kherroubi, D. Khvostichenko, Schlumberger"}]

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Equinor

Diversity and Inclusion Session Co-Sponsor

 

 

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