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Asset Integrity and Reliability

Asset integrity, the RBPS element that helps ensure the equipment is properly designed, installed in accordance with specifications, and remains fit for use until it is retired, is one of the nine elements in the RBPS pillar of managing risk.  In an Introduction to Asset Integrity and Reliability, the attributes of a risk-based management system for ensuring the integrity and reliability of critical equipment and safety systems are described.

For more information on managing risk, read CCPS' Guidelines books.

CCPS' Process Equipment Reliability Database (PERD) is aimed at providing data to help effectively and efficiently implement an asset integrity and reliability program.

Risk-Based Mechanical Integrity - Beyond Fixed Equipment

Mar 22, 2010
Thomas J. Folk
This paper presents approaches to provide a safer operating plant by extending mechanical integrity to all process equipment using a risk-based approach to better focus resources. Risk-based approaches for inspection and testing of fixed equipment for mechanical integrity (API 580/581) and for the...

A Guide to Developing and Implementing Safety Checklists: Plant Steam Utilities

Mar 21, 2010
Delmar Morrison
Steam generation is an integral part of most chemical process plants; however, the steam plant often is or can be overlooked in the area of hazard analysis. The reasons for this oversight are obvious: steam generation is considered to be an old and well understood process, and steam boiler systems...

Chronic Pain Resulting from Your Relief Device Management Systems

Mar 21, 2010
David A. Moore
With the increasing use of Layer of Protection Analysis as a semi-quantitative method of assessing process risk, LOPA practitioners are asked to assign credit to numerous safeguards including relief devices. Relief devices are only as strong as the initial design of the component and the systems...

Simplify Reliability Analysis of Chemical Processes

July
2002
Safety
Farshad Nourai
Originally developed for discrete manufacturing, this method can be applied to process units to detect which components may fail, and correct the situation before trouble happens.

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