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CODE: NOG18
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course is designed to equip participants with cutting edge tools, methodologies and strategies for identifying, evaluating and mitigating complex risks in upstream, midstream and downstream operations. The course emphasizes predictive analytics, scenario base modelling, and proactive management techniques to enhance operational reliability, reduce costly downtime and improve safety performance. By integrating industry best practices with factual case studies, the course enables delegates to anticipate threats, implement effective control measures and make informed decisions that strengthen resilience across the oil and gas value chain.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Develop the ability to identify, assess, and prioritize risks using advanced methodologies.
Apply predictive tools and analytics to forecast potential operational and safety threats.
Strengthen decision-making skills through scenario-based and data-driven approaches.
Enhance organizational resilience by integrating proactive risk management into operations.
Improve compliance, safety performance, and asset protection through best-practice frameworks.
Utilize real-time monitoring and AI insights to anticipate and mitigate emerging operational risks.
At the end of this course, you’ll understand:
This course is tailored for oil and gas professionals involved in safety, risk management, asset integrity, operations and project planning. It is particularly relevant for HSE managers, risk analysts, drilling and production engineers, operational leaders and decision makers who are responsible for managing uncertainty, safeguarding assets and ensuring compliance in high-risk environments.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
