Equipment Reliability Data Collection: A Journey to Operational Excellence in the Offshore Industry
Abstract
The offshore industry has witnessed catastrophic incidents, which continue to occur. There is a need to learn from various best practices and incidents and continue to move towards safer operations. Data in different forms on equipment reliability, near misses, key performance indicators and more exists within organizations and agencies in this industry. Most of these databases, if collected and connected could be used to prevent and/or assess the consequences of an event. Near-miss databases can help to assess the barriers that would prevent an event from escalating to consequences, and the reliability databases can be used to assess the barriers that can prevent an event. This paper describes the experience, initiatives and major challenges of the Ocean Energy Safety Institute (OESI) and the Mary Kay O’Connor Process Safety Center (MKOPSC) in data collection projects and initiatives. The paper concludes with next steps to see how existing databases could be improved in areas such as data quality, data validation, increased accessibility and searchability and provides a list of potential research projects.
Description
PresentationSubject
equipment reliabilityCollections
Citation
Pettigrew, James; Jain, Prerna; Chen, Shiqi (2016). Equipment Reliability Data Collection: A Journey to Operational Excellence in the Offshore Industry. Mary Kay O'Connor Process Safety Center; Texas &M University. Libraries. Available electronically from https : / /hdl .handle .net /1969 .1 /193653.