Reframing PSMS in the Context of Operational Risk Management and ESG Sustainability

Abstract

Current Environmental, Health, and Safety (EHS) and Asset Integrity/Performance Management (AIM/APM) platforms fail to properly aggregate data from multiple Pipeline Safety Management System (PSMS) workflows into a single database which can be queried to inform real-time, risk-based analyses and decision-making relative to profitability impacts. With predictive analytics at the core of an asset integrity and PSMS framework intent upon achieving holistic, enterprise-wide visibility and accountability for Environmental, Social, and Governance (ESG) program effectiveness and sustainability, this paper proposes an ideal solution designed around the following core functions: • Reframing EHS and AIM/APM in the context of Operational Risk Management (ORM) by normalizing data relative to performance and process-related parameters • Categorizing, prioritizing, and risk ranking incidents by economic impact (specifically lost production), enabling problem solving teams to resolve high value deep-dive systemic problems • Satisfying the need for a one-stop system that has the highly interlinked EHS, compliance and enterprise risk management systems all in one framework • Linking to data historians like OSIsoft PI to “give voice to equipment” for predictive analytics as necessitated by today’s digital transformation movement • Featuring incident investigation, reporting and failure modes decision support functionality based on industry best practice standards including API 754 Process Safety Performance Indicators for Refining and Petrochemical Industries, which is also directly applicable to petroleum pipeline industry operating systems and processes where loss of containment may occur • Offering a highly configurable user interface for key performance indicator (KPI) trending, reporting, alerts/notifications, action planning and follow-up