AI Enabled Solution for Spares Criticality Reclassification
Abstract The objective of this paper is to highlight our Operation/Maintenance excellence division initiative to embrace AI technology approach to develop a solution tool to reclassify the spares criticality (VED Analysis). This novel approach is first of its kind in our company aimed at Classify & Prioritize spares by its importance to govern the risk of nonavailability. This includes enhancing efficiency, focusing on data accuracy, accurate results, and eliminating manual processes. The paper also aims to address the challenges that arise when the task is handled manually. The approach involves developing an AI algorithm-based solution tool to reclassify the spare part criticality. We are leveraging modern technology to usher in an era of unprecedented progress, unlocking endless possibilities to build a better future for everyone. Our objective is to deliver excellence while steadfastly adhering to our commitment to 100% Health, Safety, and Environment (HSE), which is integral to nurturing our high-performance culture. The effective collaboration and dedication among the Operation Excellence, Digital Oil Field, and Offshore Digital departments have led to attaining new levels of success.
Authors
- Ahmed Al-Ali
- Hamda Majed Al Mansoori
- Rajamani Sathanantham
- Sunil Koshy
- Mohammed Al Marzooqi
- Mohammed Saleh Al Messabi
- Sumit Neeraj Kochhar
- Sukant Bansal
- Batoul Ahmed Albashr
Institutions
- Abu Dhabi National Oil (United Arab Emirates) (AE)
Publication Details
- Published
- 2025-04-21
- DOI
- https://doi.org/10.2118/224643-ms
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00