AI and Machine Learning
This session will explore the latest advancements in AI and machine learning applied to drilling operations. Presentations will cover automated assessments to prevent casing run failures and fleet-wide algorithms for detecting operational anomalies. The session will also discuss the generation of automated drilling control functions with built-in validation, as well as machine learning systems for optimizing drilling rates while addressing issues like hole cleaning and stick-slip. Other topics include improving procedural reviews for better risk management and using haptic feedback to enhance driller situational awareness.
The e-poster session will feature tools for real-time risk management, enhanced automation of drilling processes, and predictive maintenance systems utilizing AI and haptic feedback.
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1045-1110 223706Casing Run Failure Avoidance Through Automated Assessment of Borehole Quality
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1110-1135 223719Impacts On Tare Quality and Best Practices from Fleet-wide Breakover Detection Algorithm
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1135-1200 223716Code Generation of Automatic Drilling Control System Functions with Embedded Verification and Validation Functionalities
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1200-1225 223713System For Real-time Rate Of Penetration Optimization Using Machine Learning With Integrated Preventive Safeguards Against Hole Cleaning Issues And Stick-slip
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Alternate 223726Increasing Driller's Situational Awareness through Haptic Feedback