Drilling Automation
Tuesday, 4 March
Room 1
Technical Session
This session will cover various applications within drilling automation. The digital drilling program will be revisited, with discussions around recent developments. One presentation will address the automatic classification of drilling activities and the resulting improvements in operational efficiency. Another paper will focus on the automated correction of drillstring data, aimed at enhancing the reliability of physics-based models used in Drilling Advisory Systems. Additionally, the session will explore time series pattern recognition techniques for detecting drilling and production events.
The e-poster session will feature an early warning system for diesel engine failure, a probabilistic framework for risk-based evaluation of drilling plans, and a cloud-enabled transient wellbore simulation workflow designed for testing operations
The e-poster session will feature an early warning system for diesel engine failure, a probabilistic framework for risk-based evaluation of drilling plans, and a cloud-enabled transient wellbore simulation workflow designed for testing operations
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0345-0410 223774Drilling Automation: Revisiting The Digital Drilling Program
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0410-0435 223786Automated Correction Of Drillstring Data For Improved Reliability And Trust In Use Of Physics-based Models In Drilling Advisory Systems
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0435-0500 223782Automatic Online Classification Of Drilling Activities
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0500-0525 223795Automated Drilling And Production Event Detection Using Advanced Time-series Pattern Recognition Techniques
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Alternate 223787Early Warning System For Diesel Engine Failures In Drilling Operations Using Long Short-term Memory Network
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Alternate 223781A Probabilistic Framework For The Risk-based Evaluation Of Drilling Plans
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Alternate 223769A Cloud Enabled Transient Wellbore Fluid Simulation Workflow For Safer Deep Transient Testing Operations