Cambridge
Academy
In London

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