9 entries found for "Data Management"
Easter Blog How to instill a culture of “Being My Brother's Keeper” in my plant
by Michael Hurley, 4/7/2026
Tags: Community Outreach Consequence Data Management Human Factors Office Life Process Safety Management Reliability Risk Management Value
An Easter-inspired reflection on applying Christian values, stewardship, care for others, accountability, and integrity, within plant operations. It outlines practical leadership actions, safety integration, and cultural behaviors to instill a “brother’s keeper” mindset, emphasizing shared responsibility, psychological safety, and consistent, values-driven performance.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.How to practically implement RBI for oil and gas production, gathering, and midstream facilities in the United States.
by Michael Hurley, 3/11/2026
Tags: API 580 API 581 Asset Performance Management Consequence Corrosion CUI Damage Mechanisms Data Collection Data Management Data Validation HSE Inspection Integrity Operating Windows Mechanical Integrity Process Safety Management Regulation Reliability Risk Analysis Risk Based Inspection Risk Management System Implementation Technology Work Process
This document presents a practical framework for implementing Risk-Based Inspection (RBI) and Mechanical Integrity (MI) programs for U.S. oil and gas production, gathering, and midstream facilities. It outlines lifecycle asset management practices aligned with API 510/570/653, API 580/581, PHMSA pipeline safety rules, and OSHA PSM to prevent loss of containment, detect degradation early, and maintain safe, reliable operations.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?What Do Good Refining Corporate Cultures Look Like?
by Michael Hurley, 2/8/2026
Tags: API 580 API 581 Asset Performance Management Data Management HSE Human Factors Mechanical Integrity Process Safety Management RBMI Reliability Risk Risk Management Technology Training Value Work Process
In the refining industry, "culture" is often only analyzed after a failure occurs. However, a robust culture is defined by observable, repeatable behaviors and daily decisions made under pressure. This article outlines the seven practical attributes of high-performing refining organizations and demonstrates how alignment between leadership values and technical integrity creates a safer, more profitable operation.
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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