(104ac) Trending Risk: Using Lagging Data to Develop Leading Indicators for Managing PSM Health | AIChE

(104ac) Trending Risk: Using Lagging Data to Develop Leading Indicators for Managing PSM Health

Authors 

Neil, M. - Presenter, Petrotechnics

8th Global Congress on Process Safety ( 1-4th April 2012)

The current operating environment one year on from Macondo brings with it many challenges as operators find themselves under increased pressure from the Government. The challenge of effective risk management and tighter safety regulations, improved industry best practices and a strong drive for incident reduction has forced many operators and service companies to review and document procedures and practice, in line with Process Safety Management requirements.  Frontline operations have changed very little in the past 40 years, with many systems still relying on completing manual forms in triplicate.

The data captured by technology based systems can be used to determine areas of improvement in safety systems that are measurable allowing for management to communicate to the frontline goals in behavior that can reduce incident rates.  By serving as an information channel to frontline workers, ensuring that key information, such as work procedures, lessons learned, safety alerts, risk assessments, and performance goals are communicated and monitored on the frontline.      

Ensuring workers consistently apply “best-practice”- whether these are rules, regulations, processes or lessons learned, not only provides safety and assurance benefits but also delivers efficiency gains: better ways of working, an improving corporate knowledge base, shorter execution time and reduced administration. 

This presentation will discuss how integrated technology can be utilized to compliment existing safety systems and deliver an enhanced process safety management solution.  We will demonstrate how the data inherent in building and completing permits for the execution of work allows operators to proactively identify, evaluate and prevent incidents that could occur as a result of failures in process, procedures or equipment.

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