June 3, 2026
10:30AM - 11:30AM

Process Safety Track

From Data to Decisions: Advancing Process Safety and Risk Management Through Integrated Mechanical Integrity and Reliability Analytics

Jennifer Lawrence and Charles Neal

In collaboration with La Porte facility of Kuraray America, Inc., Pinnacle has undertaken a multi-phase initiative to transform process safety, mechanical integrity (MI), and overall reliability performance through data-driven reliability analytics. The partnership focuses on integrating equipment data from inspection and maintenance systems (such as PCMS, SAP, and other core data systems) into Pinnacle’s Newton™ analytics environment to evaluate corrosion profiles, probability of failure, and expected failure dates across fixed equipment, piping, tanks, and rotating equipment. Through this integration, the team identifies systemic data quality issues, streamlines inspection prioritization, and aligns reliability engineering activities with real-time process safety risks.

This approach enables Kuraray America La Porte to move beyond reactive inspection scheduling—transitioning toward predictive and risk-based decision-making that directly supports OSHA PSM compliance, long-term asset integrity, and overall availability and facility performance. The presentation, co-led by Kuraray America's La Porte’s plant management and Pinnacle, will highlight: · How a collaborative “combined assessment” model drove engagement across operations, maintenance, and engineering teams. 

Quantifiable improvements in Overall Equipment Effectiveness (OEE) and reduction of non-value-added inspections. Lessons learned from deploying an MI and reliability data model that unites process safety, reliability, and business outcomes. The cultural and leadership enablers required to sustain a data-centric process safety program. By demonstrating how analytics can bridge the gap between EHS and reliability disciplines, this session offers a practical roadmap for facilities seeking to modernize their PSM programs and strengthen asset risk management without compromising production performance.