Cambridge
Academy
In London

Introduction

AI enables smarter production management by predicting equipment failures, optimizing flow rates, and reducing downtime. This course teaches how to improve production efficiency using AI.

Objectives

- Use AI for production optimization.

- Apply predictive maintenance with AI.

- Monitor and control production assets in real time.

- Reduce downtime and improve operational efficiency.

Audience

- Production engineers

- Asset managers

- Field operations supervisors

- Reliability engineers

5-Day Outline

Day 1: AI in Production Engineering

- AI in production monitoring systems

- Predictive analytics for oil & gas production

- Tools: C3.ai, AspenTech AI, AVEVA AI

- Case study: AI boosting production efficiency

- Discussion: AI as production enabler

Day 2: Predictive Maintenance with AI

- AI for rotating equipment failure prediction

- Predictive maintenance for pumps and compressors

- AI in pipeline and flowline monitoring

- Demo: Predictive maintenance dashboard

- Workshop: AI maintenance case study

Day 3: Production Optimization with AI

- AI in choke optimization and gas lift systems

- Well performance monitoring with AI

- AI in artificial lift optimization

- Case study: AI reducing production losses

- Exercise: AI-driven production optimization plan

Day 4: Asset Integrity with AI

- AI for corrosion and integrity monitoring

- Digital twin technology for asset management

- AI for life cycle prediction of production assets

- Group activity: AI pipeline integrity analysis

- Peer feedback session

Day 5: Future of AI in Production

- AI-enabled smart oil fields

- AI in sustainability and emissions reduction

- Group project: AI asset optimization strategy

- Presentations and feedback

- Wrap-up & certification