AI-Driven Drilling: Providing Insights and Unlocking Performance
Tuesday, 21 October
Room 322
Technical Session
The drilling industry is rapidly evolving with the integration of Artificial Intelligence (AI) and Machine Learning (ML), enabling autonomous systems, real-time decision-making, and enhanced drilling performance. This session will explore the latest advancements in AI applications across the well life cycle, including autonomous drilling, geosteering, drill bit wear assessment, lost circulation prediction, and hybrid AI-physics modeling. Cutting-edge research on AI-driven drilling optimization, continuous learning algorithms, and intelligent data management frameworks will be presented. Attendees will gain insights into how AI is shaping the future of drilling, unlocking new levels of efficiency, safety, and precision.
Session Chairpersons
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0830-0855 227955First Global Deepwater Autonomous Drilling Project - Artificial Intelligence Application To Derive Optimal Drilling Parameters Within Integration Of Rig Orchestration System
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0855-0920 228168Drilling Health-driven Performance With Physics And AI At The Edge
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0920-0945 227868Well Life Cycle Data Management - From Portfolio Ranking, Design Concept Through Plug & Abandon.
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1015-1040 228017Continuous Learning Of The Ai Drilling Agent: Benchmark Results On Autonomous Drilling And Tripping Control
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1040-1105 227949Transformer Vs. Classical Machine Learning: Harnessing Normalization For Enhanced Asset Life Prediction
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1105-1130 227947Hybrid AI-Physics Framework For Lost Circulation Zone Diagnosis: A Data-driven Iterative Approach Integrating Drilling-logging Big Data With Theoretical Models
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Alternate 228117Building An Intelligent Research Assistant - Rag Isn’t All You Need
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Alternate 227995Geosteering: Continuous Surface Model Updates Using Gamma Log Data
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Alternate 228041Drill Bit Dull Grading Automated Damage Assessment Using U-net Semantic Segmentation