IADC/SPE International Drilling Conference and Exhibition
Applied Digital Rig Automation
Tuesday, 17 March
Grand Ballroom C
Technical Session
This session will explore the integration of various automated modeling and monitoring solutions centered on improving Rig Efficiency. Presenters will detail how hybrid models, pattern recognition algorithms, deep reinforcement and unsupervised learning have produced gains through consistency and quality in operations.
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1015-1040 230671Physics-based And Data-driven Models: Blending The Best Of Two Worlds To Enable Seamless Well Protection
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1040-1105 230680Large Scale Impacts And Key Insights From Implementing Pattern Recognition Algorithms To Automated Taring Process
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1105-1130 230679Predictive Generator Management For Drilling Operations: A Deep Reinforcement Learning Framework
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1130-1155 230672Real-time Detection Of Mud Pump Failures Using Unsupervised Learning On High-frequency Rig Data
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Alternate 230681An Integrated Data-driven Workflow For Optimizing Drilling Design In Brazilian’S Offshore Wells
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Alternate 230683Safer And More Efficient Managed Pressure Tripping Operations