Tags: API 581 Mechanical Integrity Process Safety Management Risk Analysis Risk Based Inspection Risk Management Technology
This article deals with a proposal for a risk analysis option that allows for individual damage mechanism risk calculation. This is an example of how it can be applied and how it domonstrates value.
In a previous post, Proposed API 581 Inspection Plan Optimization, I presented an optimization to API 581(1). In this post I work out an example to illustrate its point. I created an example that gives us probability of failure (POF), consequence of failure (COF), and risk using an example already published by Trinity Bridge in 2011 (2) as a guide. This example's assumptions are:
These three risk values were projected over a 20 year plan period and compared to the risk target of 40 ft2/yr. We will not address the specific steps to calculate these risk values in this example, but below is a presentation in tabular format of the results.
RBI Analysis Date with 1B effectiveness inspection Thinning | Plan Date with 1B effectiveness inspection Thinning | Plan Date with 1B effectiveness inspection Thinning | Plan Date with 1B effectiveness inspection Thinning | |
Date in Service | 1/1/1972 | |||
Last Thin Inspection (B) Date | 4/4/2003 | |||
Thinning Init. Thick (in) at last insp. date | 0.75 | |||
Corrosion Allowance (in) | 0.13 | |||
5/1/2008 | 5/1/2009 | 5/1/2010 | 5/1/2024 | |
Planned Period (yrs) | 0 | 1 | 2 | 16 |
COF Personnel ft2 | 17115.048 | 17115.05 | 17115.05 | 17115.05 |
Thinning Age (yrs) | 5.079 | 6.08 | 7.08 | 21.09 |
Thinning Rate (in/yr) | 0.011 | 0.01 | 0.01 | 0.01 |
tmin (in) | 0.697 | 0.70 | 0.70 | 0.70 |
Frac Wall Loss | 0.158 | 0.172 | 0.186 | 0.381 |
Thinning Factor | 19 | 50 | 82 | 361 |
Frac Wall Loss Lower | 0.140 | 0.16 | 0.18 | 0.35 |
Frac Wall Loss Upper | 0.160 | 0.18 | 0.2 | 0.4 |
Thinning Factor Lower | 6.000 | 20 | 70 | 300 |
Thinning Factor Uper | 20.000 | 70 | 110 | 400 |
Cracking Age (yr) | 36.356 | 37.357 | 38.358 | 52.367 |
Susceptability | Low | Low | Low | Low |
Severity Index | 1.000 | 1.000 | 1.000 | 1.000 |
Best Cracking Factor | 1.000 | 1.000 | 1.000 | 1.000 |
Calc Cracking Factor | 52.076 | 53.655 | 55.238 | 77.797 |
Combined Damage Factor | 70.775 | 103.755 | 137.115 | 438.842 |
Generic Failure Freq | 3.06E-05 | 3.06E-05 | 3.06E-05 | 3.06E-05 |
POF Combined DF, failures/yr | 0.002166 | 0.003174896 | 0.004195733 | 0.013428554 |
Risk Combined DF, ft2/yr | 37.07 | 54.33849779 | 71.81016454 | 229.8303547 |
POF Thinning Factor, failures/yr | 0.000572 | 0.001533 | 0.002505 | 0.011048 |
Risk Thinning Factor, ft2/yr | 9.79 | 26.24 | 42.88 | 189.09 |
POF Cracking Factor, failures/yr | 0.001594 | 0.001642 | 0.001690 | 0.002381 |
Risk Cracking Factor ft2/yr | 27.27 | 28.10 | 28.93 | 40.74 |
Risk Target, ft2/yr | 40.00 | 40.00 | 40.00 | 40.00 |
Time to Target (yr) Combined from analysis date | 1.00 | |||
Time to Target (yr) Thinning from analysis date | 2.00 | |||
Time to Target (yr) Cracking from analysis date | 16.01 |
The table above only presents the relevant columns and values that are needed for illustration. The yellow highlight shows:
The results show for each risk case:
So here we are in 2008, we have run the risk analysis to determine where we are and how to plan the inspections for the future. Here are the outcomes:
There is obvious value here and it allows the Owner/User to be more flexible in their inspection planning process. However, there are literalists who believe that if they follow the methodology exactly, they will not be penalized if an incident occurs. Experience tells us that this is a false assumption. As API 581 is open to interpretation, for the literalist if it is not written down, it is precluded from being done. This is a narrow interpretation with which many of you will disagree.
My personal belief is that API recommended practices, such as 581, should be interpreted by the Owner/User. I also believe that if alternatives are not provided in these same recommended practices, governments and regulatory agencies will take them literally. This will invalidate the Owner/User argument that if it is not explicitly precluded in the recommended practice, then it can be done. Finally, this will stop the Owner/User from interpreting these recommended practices to their benefit. Do any of you believe that there is only one way of "doing things"?
Let's continue the conversation! I am interested in your feedback on this proposal. Please comment below or contact me directly to start the conversation.
AOC has delivered thousands of sustainable Risk Based Inspection (RBI) programs earning the trust of owner operators.
One of the most important steps in an RBI project is the corrosion study or damage mechanism review.
When evaluation of inspection results suggest that an asset is near its end of useful life, Fitness for Service evaluations can determine if the asset us suitable for continued operation.
How well do you know RBI? Take this short quiz to test your knowledge of the API 580 risk-based inspection (RBI) work process.
Create mechanical integrity (MI) program value rather than it being seen as a necessary cost to minimize.
A high level overview introducing Mechanical Integrity and Risk Based Inspection
What impact does Risk Based Inspection (RBI) have on my organization?
Is your Risk Based Inspection (RBI) program aligned with the API 580 Recommended Practice? Are you ready for certification?
What's actually going on inside all of that fancy software? An introduction to the API 581 methodology.
A deep dive into quantitative Risk Based Inspection (RBI) as outlined in API 581.
A proposal for a risk analysis option that allows for individual damage mechanism risk calculation in API 581
This is a practical approach to incorporating the new PHMSA gas well rules into your integrity program with the rest of your surface and subsurface assets.
What are equipment/inspection strategies in relation to mechanical integrity (MI) and risk based inspection (RBI)?
A look at how RBI adds value whether you are just starting out or transitioning from a traditional methodology.
A dysfunctionality found in many refineries, chemical plants, and other production facilities, is a lack of common asset management work processes.
What are the requirements of API 580, 4th edition?
What are the hidden benefits of implementing Risk Based Inspection?
A look at how the financial sector's concept of Asset Value Management can be applied to the petrochemical industry.
A case study presenting the methods used to calculate qualitative risk for a critical refrigeration system and the results of the assessment.
Our experts consider why organizations implement RBI, common challenges, and strengths of an RBI champion.
Comments
There are no comments for this article.