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