AI-Driven Asset Management in Oil & Gas

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Start Date

26/01/2026

End Date

30/01/2026

Category

Artificial Intelligence & Emerging Tech

Country

Dubai

Course Overview

This course explores how artificial intelligence is revolutionizing asset management in the oil and gas sector. Participants will learn to apply AI for lifecycle management, predictive maintenance, and data-driven asset decision-making.

Course Objectives

• Understand AI’s role in asset integrity and reliability.
• Utilize AI tools for predictive asset lifecycle planning.
• Apply data analytics to reduce downtime and optimize performance.
• Integrate asset data with maintenance and financial systems.
• Improve ROI through smart asset strategies.

Course Outline

• Asset Management in the Digital Age
• AI Platforms and Tools for Asset Monitoring
• Predictive Models and Machine Learning
• Integration with ERP and CMMS Systems
• Lifecycle Cost Analysis and Optimization
• Case Studies from Oil & Gas Sector

Target Audience

Asset managers, maintenance engineers, data analysts, and digital transformation leads.

Methodology

Tech labs, dashboards, case studies, and predictive model building.

Conclusion

Participants will be empowered to deploy AI strategies for efficient and proactive asset management.

Daily Agenda

1 Day

AI & Asset Strategies

2 Day

Monitoring & Sensing

3 Day

Predictive Models

4 Day

System Integration

5 Day

Optimization & ROI