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Survey: 2026 IADC Advanced Rig Technology Conference & Exhibition

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    Keynote Presentation: Michael Winiesdorffer, Chevron
    IADC Advanced Rig Technology (ART) Committee Update
    If You Give a Mouse a Cookie; from Process Automation to LLM’s: David Forrest, Precision Drilling
    A Hybrid Physics Based and Machine Learning Digital Twin Solution for Realtime Watch Circles and Drilling Operability of Dynamically Positioned Rigs: Kenneth Bhalla, Stress Engineering Services, Inc.
    Automating BOP Fault Tree Development Using AI-Driven P&ID Interpretation: Cody MacDonald, IPT Global
    A Multi-Agent Decision-Support System for Real-Time Operational Assurance in Offshore Drilling: Jose Meraz, Aquila Engineering
    Drilling Contractor Panel
    FlexRobotics- Permian Results: Andrew Rose, Helmerich & Payne Inc.
    Eliminating Downtime: Mini ROV Deployment 8r Diver Free Thruster Anode Exchange: William Ray, Transocean
    Minimizing Red-Zone Exposure and Enabling Autonomous Operations with Multi Grip Slip: Brandt Lanzet, NOV
    Exhibitor Showcase
    Managing Human Factors in Automated Drilling: A Systematic Framework to Detect and Mitigate Operator Disengagement: Leonardo Nascimento, NOV
    New Tech, Same Human: Lessons from Carrier Aviation for the Rig of the Future: Dell Bull, CAVU, The RelyOn Leadership Academy
    Automation Without Isolation: Preserving Human Performance in Remote Drilling Operations: Matthew Kvalo, Stasis Drilling Solutions
    Remote Operations as a Catalyst for Technology Reliability and Drilling Performance: Nathan Reese, Precision Drilling
    From Data Visibility to Decision Competency: Preparing the Workforce for the Next Era of Sensor-Driven Operations: Michael Fry, Corekognition Global
    Enabling Shallow Water Drilling Using a Cloud-Based Digital Decision-Support for Dynamic Positioning and Watch Circle Management: Rohit Shankaran, Seadrill
    Technology Roadmap to Achieve Hands-Free Control Line Clamp Installation and Zero Red-Zone Entries during Upper Completion Operations – Validated by Case Study: Neil Alleman, Expro
    Virtual Reality Based Training for Catline Operations: Enhancing Safety on the Drillfloor: Leonardo Albuquerque dos Santos, Constellation Oil Services
    Stackout Protection System: David Siljeg, Nabors
    Enhancing Safety and Efficiency in Drill Floor Operations: The Role of the Rotary Multi-tool (RMT): Odd Arne Edvardsen, NOS
    Rethinking How the Oilfield Deploys Innovation
    Keynote Presentation: Katy Dickson, Patterson-UTI Drilling
    AI and Closed-loop Drilling Systems Panel
    Advancing BOP Reliability Through an AI-Driven Digital Platform for Condition-Based Elastomer Integrity Assessments: John Dady, Seadrill
    Using Advanced Offsite AI Models to Directly Control Drilling Rigs: Andy McMillan, Helmerich & Payne
    Enabling Automated Casing Running Through Integration of Tubular Running Technologies Into Rig Control Systems: Joshua Thibodeaux, Expro
    Case-study: Fleet Wide Platform Connecting Operators Well Programs to Rig Operations & Reporting: Derek Davis, Noble Corporation
    Data-Sharing Made Easy with Intellilift’s SmartConnect: Joacim Dybedal, Intellilift
    The End of Training as We Know It: How Hybrid Intelligence Will Redefine the Rig Floor: Kevin Anderson, XALTER
    Using High-Fidelity Simulation to Study Time-Dependent Drilling Risk Behavior & Validating Digital Twin–Driven Drilling and Well Control Workflows Using High-Fidelity Simulation: Samer Shiblaq, Endeavor Technology
    Readiness Assessment of a Closed-Loop Drilling Automation System Based on Digital Twin: Vinicius Girardi, ESSS Energy
    Subsea Equipment Panel
    AI vs Traditional Fatigue Damage Modelling: Robert Van Kuilenburg, Noble Drilling
    Context-Rich Analytics for Rig Equipment Health: Linking Sensor Data, Maintenance and Operations: Flavio Teures, Transocean, Joyce Ferreira, Intelie
    A Deep Learning Failure Model for Rotary Steerable Systems: Kartik Chaudhari, Prescient Devices Inc
    From Reactive to Predictive: AI-Driven Uptime for Rig Equipment Using Operational + Legacy Data: David Smith, Cognite, Tommy Gordon Haaheim, HMH
    Region-Based Gain Scheduling for Auto Drillers: A Field-Proven Path to Stable, Scalable Control: Raymond Fischer, Patterson-UTI Drilling Company
    Case Study: Increased Mud Pump Demands in Eagle Ford and Haynesville Shales: Clifton Wade, NOV
    RAPTR – Optimizing Drilling Performance by Unlocking Untapped Standpipe Pressure: Jason Clark, E3
    Re-Thinking MPD: An Integrated, On-Demand Hardware and Digital Solution: Calvin Crowdis, HMH, Jason Hannam, SafeKick
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