0:06 Welcome to this Application Explainer video, part of our Operations and Maintenance topic range.
0:11 In this video, we will cover the subject of Tier 3 metrics within SLM.
0:16 Once events are captured, we’re in the SLM Operate and Maintain module.
0:20 Tier 3 metric dashboards are automatically available to the user for understanding the IPL performance at the facility.
0:29 The following information will be covered in this training.
0:31 Chapter one will be what are Tier 3 metrics.
0:35 Chapter 2 will be Tier 3 metric dashboards available.
0:39 Chapter 3 will be what is required for the dashboard to populate setting design thresholds for Tier 3 metrics, commissioning SLM functions and devices, and logging operational events.
0:51 Chapter 4 will be had as SLM populate the Tier 3 metrics dashboard and Chapter 5 will be connections with risk matrix and PHA data.
1:04 The American Petroleum Institute API 754 provides a recommended best practice for Tier 3 indicators that are a challenge to the barrier system that progressed along the path to harm but stopped short of a tier one or tier two loss of primary containment consequence.
1:24 With these we see things like trips, bypasses, failed tests, failed to operate, but where the IP LS in place still stop the actual consequences from taking place.
1:35 So Tier 1 and Tier 2 are considered lagging indicators.
1:40 Tier 3 and Tier 4 are considered leading indicators because they are challenging the safety system and giving you data on how they’re performing when met with those challenges.
1:54 In Chapter 2, we’ll be covering tier free metric dashboards that are available within the SLM system.
2:01 If we navigate to the Operate and Maintain module to the site level, the unit level, or even the function level, we can use these tabs across the top to scroll over until we reach a reports called Tier Free Scorecard.
2:15 Clicking on that, we can see all of the different IPL types, whether it be SIFS, HIPS, alarms, BPCSS, fire and gas or interlocks.
2:27 It will track the different Tier 3 metrics for those individual functions.
2:32 So we can see demand rate, failed to operate rate, failed on test rate, spurious trip rate and availability percentage.
2:42 These are going to be colour coordinated to show whether or not that particular function is meeting the design criteria that we’ll look at in the next chapter.
2:52 If we hover over this, we can see what is the designated demand rate, the number of process demands and the time in service to understand what our actual in service demand rate is.
3:04 And it’ll be colour coordinated, Red, orange or green depending on whether or not you’re meeting at that target or close to exceeding it.
3:11 Other dashboards that exist within the SLM Operate and Maintain module are the Bad Actors tab.
3:18 This looks at specifically for each of those tier 3 metrics, which of the functions are failing to meet them.
3:23 You can dive into a demand summary of those or availability, looking at bypasses and install times or failed tests, but that is specifically for the bad actors of your facility.
3:38 Tier three data is a similar scorecard, but looking at all of the functions and their demand rate, it’s the same as the tier free scorecard, just organised by tier free metrics instead of by IPL type.
3:51 Or you have another dashboard called the Tier Free summary which looks at this facility as a whole.
3:58 How is it performing?
3:59 Of all of the sifts, how many are exceeding their demand rate?
4:02 How many are not exceeding their demand rate?
4:05 How many are exceeding their failed to operate rate or their failed on test rate?
4:10 So you can get a viewpoint of an entire picture of your facility.
4:14 These are the main dashboards calculating and looking at tier 3 metrics for your facility.
4:21 You can also look at these for an individual unit or even on an individual function you can navigate and there’s a tab for Tier 3 metrics specific to that one function.
4:34 In Chapter 3, we’ll be covering what design metrics exist within SLM, how to set design threshold parameters, how to Commission functions and devices, and things to consider company standards versus PHA calculations.
4:50 Let’s take a look at what is required to get the Tier 3 metrics to start populating for your facility and how to get them working within the SLM system.
4:58 The first thing we have to do is understand how to set the design criteria for these different metrics.
5:04 What is the in service demand rate supposed to be as a design or the Max failed on test rates?
5:11 These are done on the individual function level within the safety requirement specification documentation.
5:18 So we’ll navigate to the instrumented systems module, We’ll go to our object tree here, and we will open up that same SIF object, LAH one O 7.
5:30 And on this SIF object, as part of the general tab within the SRS documentation, there are some fields that look at the design demand rate, Max failed to test rate, Max failed to operate rate, and Max spurious trip rate.
5:46 These values that were entered here will be used as the threshold within the operate and maintain module to understand whether or not you’re meeting or exceeding the design criteria for the Tier 3 metrics.
5:59 Do take into consideration the design demand rate.
6:02 If you’re utilizing the SLM LOPA module may come off of the barrier object within that LOPA as part of the calculations done.
6:11 As for an expected demand rate in the LOPA module.
6:15 Another piece of the Tier 3 metrics is to understand when the clock starts for these functions and devices.
6:21 When is it commissioned and put into operation?
6:25 We have to get the service status of the functions and devices to be in a commissioned state.
6:30 That will be done from the operate and maintain module and you can also look through the entering of events video within the SLM library.
6:39 But on the unit or on the function level itself, we can create what we call a service status change event for this function and its instruments.
6:48 From there, we can select that we want it commissioned and what date we want it commissioned for.
6:53 This is essentially going to start the clock for that function so that when events are logged to the SLM system and it’s comparing back to the requirements for your SRS documentation, it will have a starting time for that timing service that you see here that is based on the commissioning date.
7:12 So before any of these dashboards can be populated, the things that have to be done are setting the design thresholds and commissioning the devices and functions so that there is a starting time to understand their time in service.
7:29 In Chapter 4, we’ll be covering the event approval workflow and things to consider.
7:34 Who is responsible for the approvals and is their role configured to allow approvals?
7:40 In this chapter, we will look at the approval requirements for the events populating as part of the dashboard for your Tier 3 metrics.
7:48 So at this point, the functions are built.
7:51 The safety requirements specification contains the design criteria for each of these metrics.
7:57 And from an operations and maintenance standpoint, we’ve added the Service status change event to start the clock and start developing time and service for these functions and devices.
8:07 Now when events are logged in the SLM system, such as demands, bypasses, failed tests, they will all automatically be taken into consideration for your Tier 3 scorecard metrics here.
8:19 But before those happen, the actual event will have to go through a finalisation or an approval process before it affects the calculations.
8:27 So if I just create a new demand event, it will not change this demand rate for this function until the event is finalised or approved.
8:36 If you look at an event, you may have the finalise button here if that’s how it’s set up for the unit or for the site level in the global module.
8:44 It can also be set up to require an actual approval workflow to be captured for these functions and their events.
8:52 That will require an individual with approval authority to go through and select Approve on the event as it’s logged to the SLM system.
9:00 Until that is complete, these events will not affect the calculations you see on these different scorecards.
9:08 Once each of these events is actually approved, they will be taken into consideration automatically.
9:13 As part of this dashboard in Chapter 5, we’ll be covering connections back to the Lopus scenarios and things to consider.
9:25 Do your current tools allow you to visualize the real time risk based on performance?
9:29 In this chapter, we will look at the connection of the Tier 3 metrics back to the PHA data in your Hazops and Lopas.
9:36 So from the Operate and Maintain module, we see the dashboards and we start to see the operational performance of these functions compared back to that design criteria from the actual safety requirements specification documentation.
9:51 But if we navigate to the LOPA module and we look at the risk matrix that is set up at a site level and we go to our LOPA dynamic risk matrix, when you facilitate your Lopas, the scenarios are automatically populated on this risk matrix.
10:07 But if I click on this bold underlying number in this cell, I can look at all the scenarios that fall in that severity and category here and it will show me them in a pop up window.
10:17 Now what you’re going to see over on the right side is a list of all of the barriers that were applied to that scenario in the LOPA study.
10:25 And with that, it will also show the connection to the actual SIF objects or the Ipls that are in the instrumented systems and operate and maintain modules.
10:36 Now these are colour coded to show the operational performance.
10:40 It’s listed red if the function is currently in bypass or if it’s failing one of those Tier 3 metrics like availability, demand rate, failed on test or failed to operate or spurious trips.
10:52 This is trying to show you the operational performance as it compares back to the actual hazardous scenario.
10:59 So we took credit for the IPL.
11:00 It’s protecting against that scenario, now we’re performing.
11:04 How does that affect the scenario right now?
11:07 And this can be set up to view the operational performance from the perspective of your hazardous scenarios and truly allowing you to visualize the risk associated with your facility based on your own performance.
