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CODE: NOG04
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course offers a practical and forward-looking exploration of predictive maintenance in oilfield operations, focusing on how Internet of Things (IoT) technologies and Artificial Intelligence (AI) are transforming the reliability, safety, and cost efficiency of equipment management. Through a blend of case studies, industry best practices, and hands on demonstrations, participants will gain insights into data-driven strategies for anticipating equipment failures, reducing unplanned downtime, and optimizing maintenance schedules.
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:
Understand the principles and applications of IoT and AI in predictive maintenance.
Analyze equipment data to identify early warning signs of potential failures.
Develop predictive maintenance models to improve reliability and operational safety.
Implement digital tools to optimize maintenance planning and minimize downtime.
Evaluate the ROI and performance impact of predictive maintenance strategies.
Integrate real-time monitoring systems to enable proactive asset management.
At the end of this course, you’ll understand:
The course is intended for oilfield engineers, maintenance managers, asset integrity specialists, operations supervisors, reliability engineers and technology professionals seeking to enhance their knowledge of digital maintenance strategies. It is also beneficial for decision makers and project managers responsible for operational efficiency, cost reduction and the adoption of emerging technologies in oilfield operations.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
