Areas of expertise
- Energy Asset Management
- Oil and Gas
- Process Systems Engineering
- Safety, Resilience, Risk & Reliability
Sunday obtained his BEng degree in Electrical Engineering from Ahmadu Bello University, Zaria, Nigeria in 2005. He has worked as a Safety Engineer within the oil and gas industry. He took leave from industry and obtained his MSc in Safety and Reliability Engineering in Oil and Gas at the University of Aberdeen, Scotland in 2014. His MSc thesis, which was a collaboration between the University of Aberdeen and Rawwater Engineering Company Limited, was on the development of a reliability prediction methodology for a novel permanent well abandonment plug. The dissertation received an award from the Safety and Reliability Society (SaRS), North of Scotland Chapter in 2015.
Sunday returned to industry and has been engaged in Asset Integrity Management for different assets. His oil and gas experience covers Risk-Based Inspections (RBI), Incident Management, Process Safety and Regulatory Compliance. He has again taken a break from industry and returned to academia in 2018; he is currently conducting his PhD research in the area of prognostics and health management (PHM) with a view towards applying the principles to life-extension of energy assets.
Sunday is a PhD Researcher in Risk, Reliability and Safety within the Energy and Power Department at the Centre for Renewable Energy Systems, Cranfield University. He is working in the area of prognostics and health management (PHM). His research involves using advanced analytics techniques, adapted from machine learning and artificial intelligence applications, to manage asset life-extension.
Articles In Journals
- Ochella S, Shafiee M & Sansom C (2021) Adopting machine learning and condition monitoring P-F curves in determining and prioritizing high-value assets for life extension, Expert Systems with Applications, 176 (August) Article No. 114897.
- Ochella S & Shafiee M (2021) Performance metrics for artificial intelligence (AI) algorithms adopted in prognostics and health management (PHM) of mechanical systems, Journal of Physics: Conference Series, 1828 Article No. 012005.