You are cordially invited to submit an abstract on utilizing data analytics to improve on process reliability, highlighting current challenges including success stories and best practices. For this session, we want to feature advances being made in data analytics and digital transformation to improve the reliability of assets within processing facilities. Topics of interest regarding data analytics include, but not limited to: - Online asset health monitoring, predictive analytics, and alerting - Required changes in staff behavior and procedures to embrace online asset health information - Shortage of craft skilled resources, utilizing data, and maintenance work planners - Enhanced insight through fixed asset monitoring, especially with the increased use of discounted opportunity crudes - Mitigating risk of safety and/or environmental incidents through improved reliability

Topical 7: 22^nd Topical on Refinery Processing

5^th Big Data Analytics (TD1)