6 entries found for "Data Analysis"
Achieving Unified Risk Management Through A Formal Acceptable Risk Policy
by Michael Hurley, 3/27/2026
Tags: Asset Performance Management Data Analysis Data Management Data Validation HSE Human Factors Mechanical Integrity Process Safety Management Regulation Risk Risk Analysis Risk Management System Implementation Value Work Process
This document outlines a unified approach to risk management through a formal acceptable risk policy. It defines risk tolerance, assigns decision authority by risk level, and requires escalating approvals for higher-risk decisions. The framework improves consistency, transparency, auditability, and resource prioritization across operations, engineering, and safety functions.Unified Risk Framework Across MI, RCM, PHA, and SILSIS
by Michael Hurley, 3/24/2026
Tags: API 580 API 581 Asset Performance Management Data Analysis Data Management HSE Mechanical Integrity Process Safety Management Regulation Reliability Risk Risk Analysis Risk Based Inspection Risk Management System Implementation Technology Value Work Process
This document presents a unified risk framework integrating MI, RCM, PHA, and SIL/SIS into a single, risk-based system. It emphasizes a common risk matrix, shared failure modes, and centralized action management to eliminate fragmented governance. By linking equipment strategies, SIL validation, and MI data with closed-loop feedback and MOC, it enables consistent prioritization, aligned decision-making, and effective, real-world risk reduction.Why is Management Of Change (MOC) so poorly executed
by Michael Hurley, 3/17/2026
Tags: Asset Performance Management Consequence Corrosion CUI Damage Mechanisms Data Analysis Data Management Data Validation HSE Human Factors Mechanical Integrity Process Safety Management Regulation Risk Risk Analysis Risk Management System Implementation Work Process
Management of Change (MOC) under OSHA PSM is often poorly executed not due to lack of knowledge, but because it conflicts with operational realities. Production pressure, unclear definitions of change, weak field ownership, and procedural focus reduce effectiveness. Temporary and digital changes bypass controls, cumulative risk goes untracked, and approvals lack rigor. Without aligned incentives, clear boundaries, and post-implementation verification, MOC becomes a formality rather than a true risk control.Can you improve reliability focusing on safety 1st, environmental preservation 2nd, and production 3rd
by Michael Hurley, 2/25/2026
Tags: API 580 API 581 Asset Performance Management Consequence Corrosion CUI Damage Mechanisms Data Analysis Data Management HSE Inspection Integrity Operating Windows Mechanical Integrity Process Safety Management Risk Risk Based Inspection Risk Management Safe Operating Limits System Implementation Value Work Process
Reliability improves when priorities are truly enforced: safety first, environmental protection second, production third.Is your risk-based inspection (RBI) implementation 3rd party really qualified to do the job?
by Michael Hurley, 2/17/2026
Tags: API 580 API 581 Corrosion CUI Damage Mechanisms Data Analysis Data Collection Data Management Data Migration Data Validation Inspection Integrity Operating Windows Mechanical Integrity Probability Process Safety Management Regulation Risk Risk Analysis Risk Based Inspection Risk Management Skills Validation System Implementation Technology Training Value Work Process
Is your RBI contractor truly qualified or just proficient with software?Leveraging AI to Accelerate Data Collection in Risk-Based Inspection Projects
by Stephen Elmer, 10/27/2025
Tags: API 580 API 581 Data Analysis Data Collection Data Management Data Migration Data Validation Risk Based Inspection Technology Value
Data collection is an RBI project bottleneck, often taking a very significant percentage of total effort due to manual interpretation of old, varied engineering documents. AOC developed AI-driven tooling to automatically extract, classify, and normalize this data, achieving a very high accuracy and significantly streamlining the process for faster, more reliable RBI implementation.
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