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CODE: NOG12
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course explores AI-driven analytics, predictive modelling and machine learning and its ability to enhance decision making, improve operational resilience, and optimize project outcomes. The course has been curated to equip professionals with advanced knowledge and practical tools for leveraging artificial intelligence in assessing, mitigating and managing risks throughout the life cycle of oil and gas projects. Through practical examples and global case studies, participants will gain insights into real world applications, case studies and cutting-edge technologies shaping the future of risk management in the energy sector.
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:
Apply AI-driven tools to identify, evaluate, and mitigate project risks.
Develop data-informed strategies for complex decision-making in oil and gas projects.
Integrate predictive analytics into project planning and execution.
Enhance operational efficiency and resilience through AI-enabled risk frameworks.
Leverage real-time insights to optimize safety, performance, and profitability.
Apply scenario-based simulations to anticipate project challenges and support strategic planning.
At the end of this course, you’ll understand:
This course is tailored for oil and gas professionals, project managers, risk analysts, engineers, data scientists, strategists and decision makers involved in project planning, operations and management. It is also valuable for executives and policymakers seeking to integrate AI into corporate strategies and ensure sustainable, efficient, and risk aware project execution.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
