AI Applications in Well Construction and Economic
Wednesday, 30 September
Room 2
Technical Session
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1200-1230 232114Enhancing Drilling Performance Using Real-time Machine Learning Models: A Framework for Predicting Formation Transitions during Drilling Operations
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1230-1300 232257Enhancing Drilling Efficiency and Precision through Downhole Directional Drilling Automation in 12 ¼” Deviated Section, A Case Study in Offshore Abu Dhabi
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1300-1330 232241Data-Driven Autonomous Gas-Lift Optimization: Leveraging IoT, Edge Computing, and Machine Learning
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Alternate 232034Machine Learning Application for Reciprocating Compressor Performance Prediction Under Varying Suction Pressures: A Case Study on Gas Pipeline Pump-back Operations
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Alternate 232116Research and Application of Intelligent Diagnosis and Decision Technology for Cementing: a Case Study of Deep Coal Rock Gas Gt1h Well in Dagang Oilfield, China
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Alternate 232264Bridging the Gap Between Seismic and Well-Derived Porosity in Stacked Carbonate Reservoirs: Lessons from a Mature Oil Field
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Alternate 232767Continual Compositionality as a Scalable Ai Framework for Adaptive Oil and Gas Operations

