Day 1:
- Industry value chain and operating models
- HSE expectations and process safety
- Baseline assessment and learning goals
Day 2:
- Production operations and optimization
- Asset integrity and inspection planning
- Tools, checklists and practical templates
Day 3:
- Data quality, governance and storytelling with data
- Regulatory environment and compliance
- Case study workshop and facilitated practice
Day 4:
- Data literacy, dashboards and decision-making
- Performance reporting and continuous improvement
- Advanced applications and performance measurement
Day 5:
- Capstone simulation / group project
- Personal action plan (90‑day) and stakeholder commitments
- Knowledge check and course close‑out
This 5‑day program, “Maintenance Scheduling using Big Data, IoT and Agent Based Simulation”, provides a structured, practice‑led learning journey covering the core concepts, best‑practice frameworks, and hands‑on applications in Oil and Gas. The course blends expert instruction, case discussions, guided exercises, and peer learning to ensure transfer to the workplace. Key themes include industry value chain and operating models, production operations and optimization, and maintenance strategies and reliability basics. Participants will leave with practical tools, templates, and a 90‑day action plan to apply immediately in their roles. Ideal for professionals, supervisors, and managers seeking measurable improvement in performance and decision quality.