Can PHA be Big Data? How to Make PHA Data Work Smarter

- Type: Archived Webinar
- Level: Basic
- Duration: 1 hour
Are you interested in learning how to create consistency in process hazard analysis (PHA) facilitation, reporting and overall data generation? Could you use strategies for developing a consistent PHA structure through standardized data taxonomy and categorization? Take this webinar to learn more.
In this 60-minute webinar, you’ll learn strategies for creating meaningful PHA metrics and analysis. Given the thousands of man-hours spent reviewing each unit, reporting deficiencies, and correcting those deficiencies since 1990, it is time to reconsider whether facilities are utilizing this data to its full potential. Where does PHA fit into the realm of “Big Data?” This webinar will focus on how the PHA process fits into the context of the “Big Data” trend and briefly examine this connection.
What you can expect:
- Understand Big Data in the context of process hazard analysis.
- Discover potential uses for PHA data through practical examples and case studies.
- Learn how to create structures and conditions for meaningful PHA metrics and analysis.
- Examine how to facilitate improved decision-making based on PHA reporting.
- Gain strategies to eliminate inconsistencies in PHA’s site-wide and across a company.
- Explore PHA Big Data long term potential.
Patrick Nonhof
Patrick Nonhof is a Managing Director of Provenance Consulting, A Trinity Consultants Company, with over twenty years of experience in the oil, gas, and petrochemical industries. He has a B.S. Chemical Engineering from the University of Texas and has held various positions in the petrochemical manufacturing and consulting sectors.
His industry experience includes extensive PSM and RMP program implementation, manufacturing improvement projects, and senior leadership in consulting organizations. He has performed numerous PHA and risk studies, provided clients with expert opinions for...Read more
Pricing
Individuals
AIChE Members | Free |
AIChE Graduate Student Members | Free |
AIChE Undergraduate Student Members | Free |
Non-Members | $0.00 |