Proposed API 581 Inspection Plan Optimization


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 allows for these individual damage mechanism risks to be compared to a risk target that when reached generates an inspection task with its own due date.

Proposed API 581 Inspection Plan Optimization

API 581 is a good recommended practice. It's methodology allows the Owner / User to calculate risk by damage mechanism and component and use that information to prioritize inspection tasks. As good as it is, does it really do the best job optimizing the individual tasks and by extension Maintenance / Shutdown planning? My personal opinion is no. There are further ways to optimize the process and make it better.

In order to understand my position, we first need to go through how risk-based inspection prioritization is currently done. Risk per API 581 Version 3, Part 1, Section 4.3.1, 1st paragraph is calculated thus:

4.3.1 Determination of Risk

In general, the calculation of risk is determined in accordance with Equation (1.6), as a function of time. The equation combines the POF and the COF described in Sections 4.1 and 4.2, respectively.

R(t) = Pf(t) ⋅ Cf

The risk calculated from the equation is compared to a "Risk Target" set by the Owner / User. The overall inspection planning concept is that if the risk target is reached before the planned date, then damage mechanism tasks are generated with the due date being the date which the target was reached.

So far so good, but the details matter. As we all know, consequence of failure (COF), once calculated for the four hole sizes is unlikely to vary, while probability of failure (POF), based upon the inputs for determining degradation rate for each damage mechanism, can vary with each inspection. Understanding this, allows us to concentrate on the POF as the most frequently changing value for risk. So, what constituents make up Pf(t)?

Let us look at how Pf(t), the total POF, is calculated and used for risk. From Part 2, Section 3.1:

3.1 Overview

The POF is computed from Equation (2.1).

Pf(t) = gfftotal ⋅ FMS

In this equation, the POF, Pf(t), is determined as the product of a total generic failure frequency (GFF), gfftotal, a damage factor (DF), Df(t), and a management systems factor, FMS.

We will not get into FMS here as it is a relatively static value. Likewise, gfftotal are static values and also tabularized in API 581. Therefore, we will concentrate on Df(t) which can vary with each inspection. According to Part 2, Section 3.4.1, paragraph 2, Df(t) consists of the following:

DF estimates are currently provided for the following damage mechanisms.
  1. Thinning - Dthinf-gov
  2. Stress Corrosion Cracking (SCC) - Dsccf-gov
  3. External Damage - Dextdf-gov
  4. High Temperature Hydrogen Attack (HTHA) - Dhthaf
  5. Mechanical Fatigue (Piping Only) - Dmfatf
  6. Brittle Fracture - Dbritf-gov

The above are combined to calculate the total Df(t) according to Part 2, Section 3.4.2, Subsection a), this way:

3.4.2 Damage Factor Combination for Multiple Damage Mechanisms
  1. Total DF, Df-total - If more than one damage mechanism is present, the following rules are used to combine the DFs. The total DF is given by Equation (2.2) when the external and/or thinning damage are classified as local and therefore, unlikely to occur at the same location.

    Df-total = max[ Dthinf-gov, Dextdf-gov ] + Dsccf-gov + Dhthaf + Dbritf-gov + Dmfatf

    If the external and thinning damage are general, then damage is likely to occur at the same location and the total DF is given by Equation (2.3).

    Df-total = Dthinf-gov + Dextdf-gov + Dsccf-gov + Dhthaf + Dbritf-gov + Dmfatf

    Note that the summation of DFs can be less than or equal to 1.0. This means that the component can have a POF less than the generic failure frequency.

Whether or not you believe that external and/or internal thinning damage occurs at the same location, the rest of either equation (2.2) or (2.3) remains as shown below:

Dsccf-gov + Dhthaf + Dbritf-gov + Dmfatf

Both equations imply that all of the other damage mechanisms do occur in the same location. The first issue is using the summation of damage factors to drive inspection task due dates. My plant experience tells me that different damage mechanisms rarely occur in the same location.

The second issue is that summing all of the damage factors provides a composite damage factor and by extension a composite POF value that is, by default, applied to each damage mechanism. It is then obvious that the due dates recommended by the algorithm for each damage mechanism will all be the same.

Extending this concept further, each damage mechanism's damage factor, when individually combined with the COF, will likely reach the Risk Target at different due dates. This concept is the antidote for the two issues defined above. Therefore, Equation (2.1) above would change to be:

Pf(Ind) = gfftotal ⋅ Df(Ind) ⋅ FMS
(2.1.b, proposed)

where gfftotal and FMS would remain as currently defined but Df(Ind) would be substituted with each individual damage mechanism's damage factor:

DF estimates are currently provided for the following damage mechanisms.
  1. Thinning - Dthinf-gov
  2. Stress Corrosion Cracking (SCC) - Dsccf-gov
  3. External Damage - Dextdf-gov
  4. High Temperature Hydrogen Attack (HTHA) - Dhthaf
  5. Mechanical Fatigue (Piping Only) - Dmfatf
  6. Brittle Fracture - Dbritf-gov

This would also cause each damage mechanism's risk calculation to become:

R(Ind) = Pf(Ind) ⋅ Cf

In turn, R(Ind) would be compared to the Risk Target for each individual damage mechanism, thereby establishing an independent due date and extent for each. Logically, this appears to be a better solution for establishing due dates and extents for inspection tasks.

My personal belief is that this method would better optimize inspection resources while maintaining the same level of risk based upon the Risk Target. I believe this should be an optional workflow with API 581 in addition to the current one. I am interested in your feedback on this proposal. Please comment below or contact me directly to start the conversation.

Comment on this article


2/1/2021 - Mike Hurley
John, thank you for the comments. I agree with you that the values are there and it is not precluded in the RP. However, there are many RP users that mistakenly believe that as long as I follow the methodology to the letter, if an incident occurs, the regulators will not hold their company responsible. This might keep them from thinking that dealing with the damage mechanism risk independently is possible without understanding that no written prohibition exists. That is why I proposed this as an option so that they can explicitly see it in the RP. Thank you for you comments, I hope we can keep up the dialogue. ??
2/1/2021 - John C. Hanks
One of the deviations we incorporated into DNVrpG101, and the resulting ORBIT software, was to allow the user the ability to isolate the driver of the LoF risk factor. Later versions of the API software presented this as well, as it was always in there, if one knew where to look. Since the inspection type will differ depending on the damage driver, it makes sense to granulate them for the user. The overriding logic of not revising the RP was that by combining the DFs, a more conservative next inspection date would be generated, however, this conservative limit would not prevent a user from identifying the most relevant inspection technique, aligned with the DM contributing the greatest to the resulting LoF.Greater clarity is always of value, and improving the transparency a novice user has to the underlying LoF drivers is a good thing, however, it might be a hard sell to API to revise the RP, since it does not "as written", prevent the user from implementing inspection plans based on this approach, as long as the next inspection date is on or less than the one produced by the current combined DF results.Best of luck, and thanks for the continuous improvement activities, wrt API RBI. ??
5/3/2023 - Md Mahabubur Rahman
John C. Hanks & Mike Hurley Thanks for bringing up things from software in here. It helps me....

Add your comment

Related Services

Risk Based Inspection (RBI) Implementation and Planning

AOC has delivered thousands of sustainable Risk Based Inspection (RBI) programs earning the trust of owner operators.

Operational Readiness and Maintenance Strategy Development

Development of maintenance strategies, recommendations, and plans to implement best practices and increase asset life

Master Data Management and Data Conversion

Innovative technology that allows quick, efficient extraction of data into a knowledge-centric world

Related Tools

API 580 Work Process Quiz

How well do you know RBI? Take this short quiz to test your knowledge of the API 580 risk-based inspection (RBI) work process.

RBI Potential Savings Calculator

Create mechanical integrity (MI) program value rather than it being seen as a necessary cost to minimize.

Related Training

RBI/MI Overview

A high level overview intrucing Mechanical Integrity and Risk Based Inspection

API 580 RBI Overview

What impact does Risk Based Inspection (RBI) have on my organization?

API 580 Training

Is your Risk Based Inspection (RBI) program aligned with the API 580 Recommended Practice? Are you ready for certification?

API 581 Overview

What's actually going on inside all of that fancy software? An introduction to the API 581 methodology.

API 581 Training

A deep dive into quantitative Risk Based Inspection (RBI) as outlined in API 581.

Related Knowledge

Proposed API 581 Inspection Plan Optimization Example

An example to compliment our earlier proposal for a risk analysis option that allows for individual damage mechanism risk calculation in API 581

How to Incorporate the New PHMSA Underground Gas Storage Requirements

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.

RBI Value: Both Transitioning And From The Start

A look at how RBI adds value whether you are just starting out or transitioning from a traditional methodology.

Plant Management 101: Common Work Processes

A dysfunctionality found in many refineries, chemical plants, and other production facilities, is a lack of common asset management work processes.

Hidden Benefits of Risk Based Inspection (RBI)

What are the hidden benefits of implementing Risk Based Inspection?

Asset Value Management vs Asset Performance Management

A look at how the financial sector's concept of Asset Value Management can be applied to the petrochemical industry.

Qualitative Risk Assessment of a Commercial Refrigeration System

A case study presenting the methods used to calculate qualitative risk for a critical refrigeration system and the results of the assessment.

Risk Analysis: Good In, Good Out - A Risk Analyst's View

Reflections on the importance of ensuring your data is accurate and on the impact that having poor data can have on your risk analysis.

Risk Based Inspection Seen Through the Eyes of the Experts

Our experts consider why organizations implement RBI, common challenges, and strengths of an RBI champion.

Qualitative RBI of a Commercial Refrigeration System

Refrigeration system owner/users who are maintaining their assets as prescribed may be unaware of the damage mechanisms that could affect the reliability of their assets and safety of their personnel.