Introduction

Drilling operations generate massive data. AI helps optimize drilling performance, predict equipment failures, and reduce operational costs.

Objectives

– 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.

Audience

– Drilling engineers

– Well design specialists

– Drilling supervisors

– Oilfield operations managers

5-Day Outline

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