Integrating AI with CMMS Maintenance Module to Reduce Offshore Operational Breakdown

BASSNET is a Computerized Maintenance Management System (CMMS) which is utilized by FPSO to track the records for preservation and troubleshooting jobs performed on equipment. BASSNET not only provides the detail of work orders, but also helps management in understanding the equipment’s working behavior and based on those performances, decisions are made to improve the integrity and life of an asset. Despite of several advantages, the software has few limitations due to which machine downtime still exists. AI (Artificial Intelligence) Database Module such as PREDIX, Hybrid Data Platform (HDP), etc. can be used in order to overcome the limitations of BASSNET. In this technical paper, operational shortcomings of BASSNET is highlighted and accordingly a blueprint is proposed to integrate the Breakdown Report (BDR) in the CMMS with the help of AI Database Module. This integration would not only enhance the scheduling of preventive maintenance but also initiates the predictive maintenance based on past breakdown history