Lynne Kaley: About the Author
Vice President of R&D, Pinnacle
Lynne Kaley is an internationally recognized industry expert and leader in the development and use of Risk-Based Inspection technology for the refining and petrochemical industry. She pioneered the development of RBI technology in the early 1990's and served as master editor for API RP 580 Third Edition and API RP 581. She is currently the master editor for the API RP 581 task group. Ms. Kaley provides technical support and engineering consulting for all levels of refinery technical experts and management. She also has extensive experience in preparation and delivery of training courses and technical presentations, and has taught numerous industry-related courses to practicing engineers.
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Published Articles
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Examining the Latest Changes to API RP 581 Risk-Based Inspection Methodology Thinning and the Probability of Failure Calculations
November/December 2016 Inspectioneering JournalThis paper provides the background for the technology behind the Third Edition thinning model as well as step-by-step worked examples demonstrating the methodology for thinning in this new edition of API RP 581.
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Blog
Seasoned and knowledgeable inspectors are becoming harder and harder to keep. But using some of the industry documents in a smart way, inspectors with less experience can perform like an inspector with many more years of experience and even develop a great materials specialty with practice.
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Blog
Experienced material specialists are in short supply and high demand these days. So if you are lucky enough to have one at your disposal, how can you squeeze the most out of that opportunity?
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API RP 581 Risk-based Inspection Technology Demonstrating the Technology Through a Worked Example Problem
May/June 2009 Inspectioneering JournalThis article is Part 3 of a 3-Part series. The articles in this series provide a step-by-step example of utilization of API RP 581 and build off of each other. This article (Part 3) will cover the final risk analysis, inspection planning, provide a very helpful table of calculated results for each step to check your calculations against, and a glimpse of the future direction of API RP 581.
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API RP 581 Risk-based Inspection Technology Demonstrating the Technology Through a Worked Example Problem
March/April 2009 Inspectioneering JournalThe previous article (Part 1) covered Probability of Failure (POF), including modeling of thinning and stress corrosion cracking and demonstrated how API RBI provides credits for past inspections, considering their effectiveness in detecting those specific damage types and the number of inspections performed. This article (Part 2) picks up where the previous left off by guiding the reader through the health, safety, and environmental and financial consequence calculations, including calculation of Consequence of Failure (COF).
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API RP 581 Risk-based Inspection Technology Demonstrating the Technology Through a Worked Example Problem
January/February 2009 Inspectioneering JournalThis article provides a unique opportunity to guide the reader through API RBI quantitative calculations per API RP 581, Second Edition, September 2008, using real data. The author guides you step by step from input data to final answers including, probability of failure, consequence of failure, financial and risk return and metrics usage, and inspection planning.
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July/August 2002 Inspectioneering Journal
Risk-Based Inspection (RBI) is an emerging technology available to plant engineers and managers as theyapply risk directed activities to prioritize work and available resources for equipment management. This paper describes the learning of highly experienced RBI users, sharing results of implementation in their plants. The advantages of making and documenting reasonable assumptions will be explored.
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May/June 2002 Inspectioneering Journal
Risk-Based Inspection (RBI) is an emerging technology available to plant engineers and managers as they apply risk directed activities to prioritize work and available resources for equipment management. This paper describes the learning of highly experienced RBI users, sharing results of implementation in their plants. The advantages of making and documenting reasonable assumptions will be explored. Additional benefits of the program will be shared, such as streamlined process reliability studies where RBI information can significantly impact time required for completion. Results of using the API RBI methodology for storage tank analyses will also be presented. The presenters have a combined refinery experience of over 40 years and RBI experience of over 10 years with responsibility for over 20,000 pressure vessels and overall responsibility for equipment integrity in two large refineries.
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July/August 1997 Inspectioneering Journal
Damage of carbon steel pressure vessels due to various in-service damage mechanisms continues to be a serious concern in the refining and petrochemical industries. A survey conducted in 1990 by the NACE T-8-16 Work Group to determine the nature and extent of cracking problems in wet H2S refinery environments showed that there was insufficient information reported about the type of cracking found to correlate cracking incidence with cracking mechanisms. Most of the inspections for cracking reported were detected during internal inspection using Wet Fluorescent Magnetic Particle Testing (WFMPT). As a result, it was concluded that in addition to the service related cracks reported, a number of "cracks" detected were the result of original fabrication, repair or alteration of the pressure vessels.
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January/February 1997 Inspectioneering Journal
This is Part II of a series of reliability of coke drums. Part I discussed some of the causes of bulging and cracking in coke drums. Here, the effect of operation on damage will be covered, along with possible solutions for increasing drum life...
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November/December 1996 Inspectioneering JournalPetroleum coke production is an important source of revenue for many refineries. While coking units were initially constructed to deal with a waste product, these units are now of significant economic value.
