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Advancements in Drilling and Data Acquisition: Case Studies and Modeling Approaches

Monday, 5 May
312
Technical Session
This session explores advancements in drilling techniques, data acquisition, and modeling technologies, focusing on practical applications and innovative approaches. Industry experts will present case studies and research from diverse regions, showcasing solutions to complex challenges in modern drilling operations. Topics include underbalanced drilling, advanced logging techniques, hybrid bit optimization, and numerical modeling for conductor casing. Attendees will also explore innovations like dual gradient mud cap systems, autonomous drilling performance metrics, microchip-based data acquisition, and analytical models for fishbone drilling. This session provides valuable insights into the interplay of technology, innovation, and operational efficiency in the energy sector.
Session Chairpersons
Carolina Barros - Kongsberg Digital
German Garcia - SLB 
  • 1030-1048 35682
    A Comprehensive Study On Underbalance Drilling- Insights From Four Wells In A Depleted Reservoir Of India’S Western Offshore
    J. Jose, N. Yahiya, Oil & Natural Gas Corp. Ltd.
  • 1050-1108 35816
    Exceeding Expectations In Data Acquisition: A Case Study Of The Longest Logging While Drilling Bottom Hole Assembly Run In The Gulf Of Mexico
    A. Nunez+Davila, SLB
  • 1110-1128 35996
    Hybrid Bit Solution Optimization For Increasing Drilling Efficiency For Impact High Abrasion Tough Applications Using Advanced Simulation Modeling Technology
    K.M. Beheiry, Baker Hughes Intl Inc; G. Oliveira, Baker Hughes; J. Fairbairn, UN
  • 1130-1148 35984
    Numerical Modeling Of Conductor Casing Installation: Leveraging The Material Point Method
    B. Barboza, J. Melo, M.S. Correia Tenorio, E.T. de Lima Junior, J. Lima Santos, LCCV - UFAL; F. Cutrim, R. Dias, Petrobras
  • 1150-1208 35890
    Dual Gradient Mud Cap Technique And Monitoring System Developed To Manage Total Losses While Drilling In The Brazilian Pre-salt Carbonate
    F. Silva, V. Girardi Silva, C. Donatti, L. Rezende, ESSS; V.D. Carvalho, E. Barrios, R. Viali, Shell; S. Saber, Blade Energy Partners
  • 1210-1228 35560
    Quantifying Operational Effectiveness Of Autonomous Drilling Platforms: A Systematic Approach To Defining Measures Of Performance.
    R. Perdomo, C.A. Zapata, Halliburton
  • Alternate 35668
    Distributed Data Acquisition Using Drilling Microchips In Horizontal Wells
    V. Dokhani, YU Technologies Inc; Z. Shi, Tensing Technology
  • Alternate 35947
    An Analytical Model For Predicting Composite Inflow Performance Relationship (ipr) For Fishbone Drilling Technology With N- Number Of Ribholes.
    I.J. OJO, University of North Dakota
  • Alternate 35597
    Versatile Intelligent Circulating Tool To Mitigate Drilling Risks In Highly Depleted Well
    A.M. Mohamad Khalil, MIT Technologies; M.H. Tobiaany, S.N. Ishak, R. Radzlan, PETRONAS

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