Artificial Intelligence (AI) for
Enhanced Shutdown / Turnaround Planning

Shutdowns and turnarounds (SD/TAR) represent some of the most complex and costly activities in industrial facilities. Successful execution depends on careful planning, effective coordination, and strong collaboration among engineering, maintenance, operations, procurement teams, and contractors. Although traditional planning approaches remain important, they often face challenges such as expanding scope, schedule delays, resource conflicts, and unexpected risks.

Recent advances in Artificial Intelligence (AI) provide new opportunities to enhance shutdown and turnaround management. AI technologies can examine historical turnaround data, support smarter planning decisions, anticipate potential risks, and assist teams with real-time monitoring and control during execution.

This 5-day training course offers a practical and comprehensive overview of how AI technologies can support and improve shutdown and turnaround planning. Participants will learn how tools such as machine learning, predictive analytics, and intelligent automation can strengthen areas including scope management, scheduling, cost forecasting, contractor coordination, and risk control.

Through real industry case studies, guided exercises, and scenario-based discussions, this training course helps participants understand how AI-driven insights can reduce uncertainty, increase planning accuracy, and improve safety, schedule performance, and cost outcomes. The training course is particularly valuable for organizations aiming to modernize their SD/TAR processes and prepare their workforce for a more data-driven and digitally enabled approach to turnaround management.

This Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course will cover:

• Core principles of Artificial Intelligence and their application to shutdown and turnaround planning
• Machine learning techniques for optimizing turnaround scope and predicting operational risks
• AI-supported scheduling, workforce planning, and cost forecasting
• Predictive analytics to assess contractor productivity and performance
• The use of digital twins to simulate turnaround scenarios and evaluate different planning strategies
• Integration of AI tools with CMMS, EAM platforms, planning systems, and data historian environments
• Real-time monitoring and decision support using AI combined with IoT data
• Industry examples from oil & gas, petrochemical, mining, and power generation sectors

By completing this Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course, participants will be able to:

• Evaluate shutdown and turnaround data using AI-based analytical methods
• Anticipate potential risks, schedule disruptions, and cost increases before they occur
• Apply AI techniques to improve scope definition, scheduling accuracy, and resource planning
• Utilize digital twin models to test and compare turnaround scenarios
• Design AI-enabled dashboards to support real-time monitoring and decision-making
• Develop a structured improvement plan for SD/TAR processes supported by AI technologies

This PetroKnowledge Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course is relevant to a broad range of industry professionals, including:

• Shutdown and turnaround planners and coordinators
• Maintenance and reliability engineers
• Project and engineering managers
• Operations and production supervisors
• CMMS and EAM system specialists
• Procurement professionals and contractor management teams
• Digital transformation and Industry 4.0 specialists

The Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course is delivered through a blend of instructor-led presentations, live demonstrations, guided exercises, and real-world case studies. Participants will work with actual AI tools, explore practical engineering scenarios, and complete hands-on activities that reinforce learning. The training is structured to be interactive, engaging, and immediately applicable to workplace challenges.

Organizations participating in this training course can expect:

• Shorter shutdown and turnaround durations with better schedule reliability
• Reduced overall turnaround costs through improved planning accuracy
• Stronger safety performance and lower operational risks
• Improved contractor management and more effective resource utilization
• Better alignment with asset management frameworks and governance practices
• Faster progress toward digital transformation in turnaround management

Participants attending this training course will gain:

• Improved expertise in AI-supported shutdown and turnaround planning
• Enhanced analytical thinking and decision-making capabilities
• The ability to lead improvement initiatives in SD/TAR management
• Greater familiarity with digital tools and predictive analytics techniques
• Increased confidence when managing complex maintenance projects
• Expanded career opportunities in maintenance, reliability, and project management