Course Description
Introduction
Drilling operations generate massive data. AI helps optimize drilling performance, predict equipment failures, and reduce operational costsCourse Objectives
By the end of this course, participants will be able to:
· Understand AI in drilling operations.
· Apply AI for well design and drilling optimization.
· Use AI to prevent stuck pipes and drilling hazards.
· Enhance well engineering efficiency with predictive analytics.
Target Audience
This course is designed for:
· Drilling engineers
· Well design specialists
· Drilling supervisors
· Oilfield operations managers
Course Outlines
Day 1: AI in Drilling Operations
· Introduction to AI in well engineering
· AI vs. conventional drilling optimization
· Tools: Halliburton iEnergy, NOV Max Platform
· Case study: AI in drilling performance improvement
· Discussion: AI adoption in drilling
Day 2: Predictive Drilling Optimization
· AI in drill bit performance prediction
· Optimizing drilling parameters with ML algorithms
· Real-time monitoring using AI dashboards
· Workshop: AI well trajectory optimization
· Simulation: AI-assisted drilling workflow
Day 3: Hazard & Risk Prediction with AI
· AI in stuck pipe prediction
· AI-assisted pore pressure and kick prediction
· AI in lost circulation prevention
· Demo: AI wellbore stability monitoring
· Group activity: Build AI drilling risk model
Day 4: AI in Well Engineering Design
· AI in casing & cementing optimization
· Predicting well integrity issues with AI
· AI in directional & horizontal drilling design
· Case study: AI well placement optimization
· Workshop: AI-based well design exercise
Day 5: Future of AI in Drilling
· Autonomous drilling rigs with AI
· Digital twins for drilling optimization
· Group project: AI drilling optimization case study
· Peer feedback & expert review
· Wrap-up & certification
