Archive for the ‘Fuel Microbiology’ Category


FUEL & FUEL SYSTEM MICROBIOLOGY PART 8 – CHOOSING TEST METHODS B

STP spill containment well.  Good news: well has a 4 inch port for testing bottoms-water height and collecting bottoms samples.  Bad News: there is lots of corrosion.

The canary in the coal mine….

In my last post, I discussed the kinds of questions that should be asked before deciding on what tests to run and how frequently to run them.  Now I’ll share my condition monitoring (CM) philosophy with you. I’ll list them as axioms – statements that should seem obvious to the most casual of observers. 

Axiom 1: For most frequent testing, rely on methods that are easy to perform and interpret.  The flow-rate example that I shared in Part 7 (16 February 2017) illustrates this point.  You can test dispenser flow-rate while filling your vehicle.  The only test equipment you need is a stop watch, or flow-rate APP (I don’t want to be commercial here, but I know of at least one fuel system service company that offers a free, dispenser flow-rate APP). 

Axiom 2: The tests you run most frequently should be your canaries in the coal mine1.  I call these simple, frequently run tests 1st Tier tests.  They don’t tell you much about why there is a problem, but signal either that a problem exists, or that the risk of a problem developing has increased.  Examples of other 1st Tier tests include:

  • Bottoms-water detection, by water-paste on fuel gauging stick or sounding bob.
  • Standing water in spill containment wells.
  • Broken spill containment well covers.
  • Heavily corroded submerged turbine pump (STP), turbine distribution manifold (see photo above).

The common feature of these tests is that they require very little technical training or test equipment.

Axiom 3 (repeat from Part 7): Every parameter that you test must have control limits! You need to know what is normal and what isn’t.  I like the green, amber, and red light approach. 

  • When conditions are normal, you have a green light.
  • When conditions are not quite normal, but operations don’t seem to be affected, you are in the amber light zone. This is the time to run additional tests or schedule preventive/early corrective maintenance. This is the zone that links CM to predictive maintenance (PdM – see Part 5).
  • The red-light zone indicates that you are having problems. You need to schedule corrective maintenance as soon as possible. When your site has a well-planned, well executed CM program, you never get red zone test results. Red-light results signal both operational and PdM program problems.

Axiom 4: 1st Tier, amber-light results should trigger either maintenance actions or 2nd Tier tests.

  • Action example: if you detect water in a spill containment well or tank bottom, remove it. There’s no need for additional testing to help you determine the best course of action.
  • 2nd Tier testing example: If your dispenser flow-rate <80% of maximum, use 2nd Tier testing to determine why.  Remember: slow-flow is not the same as a plugged filter!  There are several chokepoints (for example: screens) between the STP and dispenser nozzle.  Moreover, slow-flow after a 500 000 gal of fuel have passed through a dispenser filter tells a much different story than slow-flow after 50 000 gal have been filtered (see the flow-rate testing example in Part 7).

Axiom 5: 2nd Tier tests should be diagnostic, but sufficiently easy to perform so that a trained technician can complete the testing on-site. In most cases, 2nd Tier test results provide sufficient information to guide maintenance actions.  I break 2nd Tier tests into four categories, and will discuss each category in more detail in the next four MICROBIAL DAMAGE blog posts. I list the categories here:

  • Gross observations
  • Physical tests
  • Chemical tests
  • Microbiological tests

There are rare occasions when the 2nd Tier test results are inconclusive.  Additional testing is needed to diagnose what’s going on.  In most cases, 3rd Tier tests are run at specialty testing labs.  These are labs that have particular expertise in fuel, corrosion, or microbiological testing.  Examples of 3rd Tier testing include:

  • Corrosion deposit analysis
  • Fuel property testing (this typically includes tests listed in ASTM fuel specifications)
  • Bottoms-water chemistry testing
  • Fuel or bottoms-water microbiology testing (detailed tests to determine the types of microbes present)

One very rare occasions, 4th Tier or 5th Tier tests are run to gain a deeper understanding of the processes that increase operational risks.  These higher tier tests are typically run as part of research efforts rather than in direct support of troubleshooting.  There is still quite a bit that we do not know about what causes fuel quality problems and fuel system failures.

As I have noted in previous posts in this series, in each post, I’m peeling back another layer of a complex onion.  If you are impatient and want to learn more now, don’t hesitate to contact me at fredp@biodeterioraiton-control.com. 

1 In the days before electronic oxygen and explosive gas detectors, miners would use canaries as hazard alarms.  If methane or carbon dioxide concentrations became too high, the canaries would die.  The canaries’ sudden silence would alert miners that they needed to evacuate the mine – high methane meant high explosion risk! (more…)

FUEL & FUEL SYSTEM MICROBIOLOGY PART 7 – CHOOSING TEST METHODS A

TEST METHOD SELECTION

How do we select condition monitoring tests?

Parts 3 and 4 of this series introduced the issue of test method selection. Starting with Part 7, I’ll spend the next few posts drilling down into different testing options when you want to evaluate fuel system microbiological contamination.
Today let’s start with two questions. These are the two questions that should drive most predictive maintenance test decisions:
What do I need to know to be sure I have a microbial contamination problem?
→What will I do with test results?
Although microbiology data are useful – even important – they are only part of the story. This means that the first question’s answer is not necessarily microbiology data. In this blog post, I’ll focus on the first question.

What do I need to know to be sure I have a microbial contamination problem?
There’s an old joke in which one person asks another: “Why do you always answer my questions with a question?”. The person to whom the question was posed responds: “Do I?” In the same vein, the answer to What do I need to know? is What will you do with the results? There is no benefit to running any test if the results do not drive some action when the results indicate that conditions are not normal (i.e.: in specification). This means that when a technician is tasked with running a test, they need to know three things:
       • How to run the test
       • What the test results indicate
       • The next action to be taken if the results indicate that conditions are not normal.
Running tests – every test method should be detailed in a standard operating procedure (SOP) document. This SOP can be an ASTM, PEI or other method developed as a consensus standard. It can be a method developed by an employer. As I noted in Part 5, the Navy uses Maintenance Requirement Cards (MRC). A well written SOP lists all materials, supplies and tools needed to perform the task. It lists both hazards and potential interferences. It then provides detailed instructions for how to complete the task. Next, test method SOP specify what to report and how to report the results plus supporting information. Finally, the test method SOP provides guidance on how to interpret the results and what action to take.
What the results indicate – some methods generate numerical data. For example, one of the easiest tests to run is dispenser flow-rate. The technician either determines how long it takes to dispense a specified volume of fuel, or determines how much fuel is dispensed during a fixed time. The results are reported as gallons (or liters) per minute (gpm). Without some context, the results are not particularly helpful. However, we can assign attribute scores to flow-rate ranges; for example:
       • 8 gpm ((30 l/min) to 10 gpm (38 l/min): normal;
       • 6 (23 l/min) gpm to <8 gpm: moderately reduced; and
       •<6 gpm: severely reduced.  For fleet operations, the breakpoints might be 36 gpm (136 l/min) and 24 gpm (91 l/min). 

Having assigned attribute scores to our raw data, we know that the flow-rate of a retail dispenser dispensing fuel at 4 gpm (15 l/min) is severely reduced. Some action is needed.

What action is needed? – most often – particularly for quick and dirty tests – the action triggered by a test result that indicates that there is a problem, is additional testing. In our dispenser flow-rate example, the severely reduced flow can be a symptom of different causes; including microbiological contamination.

For example, if the test is run when several dispensers are being operated, the pump might not have sufficient power to deliver full flow to all active dispensers. An under-capacity pump has nothing to do with microbiological contamination. Alternatively, reduced flow could be a symptom of contamination. Again, not all contamination is microbial. Moreover, the assumption that slow-flow is due to filter plugging can be wrong. This leads to a set of IF/THEN instructions:

     • IF flow <6 gpm, THEN retest after confirming that no other dispensers are operating.
     • IF flow <6 gpm when no other dispensers are operating, THEN replace filter and retest flow rate.
     • IF flow is <8 gpm after replacing filter; THEN clean dispenser prefilter (screen) and retest flow rate.
     • IF flow rate is <8 gpm after cleaning prefilter; THEN test leak detector, replace if necessary, and retest flow rate.
     • IF flow rate <8 gpm after testing/replacing leak detector; THEN test/repair/replace submerged turbine pump and retest flow rate.

Notice that in each case, the level of effort is greater and the flow rate is retested after the action has been completed.
By now, perhaps you are wondering: All this is interesting but what do I really need to know to be sure I have a microbial contamination problem? Stay tuned. In Part 8, I’ll offer some approaches to how you can answer that question.

Flow-rate testing as I’ve described here is one example of tiered testing. Here I reran the same test after taking increasingly complex maintenance actions. In future posts, I’ll write about more tiered testing in which the results from a simple test trigger the need to run a more complex test. I’ll also discuss individual test methods and share my opinions about their respective advantages and limitations. If you are impatient and want to learn more now, contact me at fredp@biodeterioraiton-control.com.

VENDOR VIEW: FUEL SYSTEM BUGS DRAIN REVENUES

Twenty years ago I had a series of retail fuel system articles published in National Petroleum News. Ten years ago, I wrote a Looking Back preface for each of the original articles, and sent the updates to a selected distribution list. Quite a bit has changed since I wrote the original series and the 10-year updates. I’ve just launched a new series for publication in Fuel Marketing Reporter. This series will follow a series of themes similar to those I’m addressing in my Why is Microbial Damage to Fuel Systems so Hard to Detect blog series. You can find my new article: Vendor View: Fuel System Bugs Drain Revenues at Fuel Market News.

FUEL & FUEL SYSTEM MICROBIOLOGY PART 6 – HANDLING SAMPLES

Changes in population as sample ages

Fig 1. Sample perishability: Changes in population as sample ages

 

Source: CAERT

Fig 2. Microbial population succession in Milk. Source: CAERT

 

 

Today, I’m returning to the sampling issue that I introduced in Part 2.  In particular, I’ll focus on the concept of sample perishability – the tendency for the contents or properties of a sample to change over time. 

Microbes are living beings.  Like all other living beings, microbes eat, discharge (excrete) wastes, use energy, grow (individual cells get larger), reproduce (proliferate), and respond to their environment.  Samples are perishable because microbes collected in the sample, continue their activities after they have been captured.  They respond to their environment and change it, by using up nutrients and excreting wastes.

Even before active microbes change them, conditions in a sample container are different from those in the system from which the sample was collected.  As a result, microbial populations in sample containers can change in three basic ways:  1) the total number of microbes can change: increasing, decreasing, or remaining approximately the same (in the last case, the number of new cells produces is approximately equal to the number of cells dying); 2) the relative abundance of different types of microbes can change; and 3) the combined (interaction) impacts of these two factors can alter the microbial population in countless ways.

Total bioburden: Figure 1 shows how the total number of cells (bioburden) in a fuel + bottoms-water sample can change as the delay between sampling and testing increases.  Because of these changes, ASTM D7464 recommends that samples be tested within 4h after collections and notes that after 24h, even refrigerated samples are unlikely to have microbial populations that closely resemble those present immediately after the sample was collected.

Relative abundance: Types of microbes that were a major part of the total population in the system from which the sample was collected, are sometimes less able to adapt to the conditions in the sample bottle.  When this happens, both the diversity (number of different types of microbes) and the relative abundance (percentage of the total population each type of microbe represents) can change.  Look at Figure 2. Over the course of the first week or so, after milk is collected, there are typically four major population shifts.  For our purposes the population succession details are unimportant.  What is important is that milk’s microbial population changes dramatically.  The population succession in fuel and fuel-associated water samples has not been well studied, but the evidence that does exist suggests that it does occur. 

Bottom line:  Fuel system samples are perishable because the population beings to change so quickly after samples are collected.  For routine condition monitoring, relative abundance changes aren’t going to affect your action decisions.  However, if the population either increases or decreases dramatically between the time the sample was collected and the time it was tested, operators risk either taking action when it is not needed or failing to take action when it is.  To learn more about fuel system sampling for microbial contamination control, please contact me at fredp@biodeterioration-control.com.

FUEL & FUEL SYSTEM MICROBIOLOGY PART 5 – PREDICTIVE MAINTENANCE (PdM)

I introduced predictive maintenance (PdM) in my last post. Because I didn’t mention preventive maintenance (PM) in that post, I used “PM” as an abbreviation for PdM. After reading Part 4, one of my readers asked me to explain the difference between PM and PdM. I’ll oblige that reader in this post.
The very first collateral duty I was assigned when I reported aboard my first ship, as a fresh-caught Ensign, in January 1971, was to implement the Navy’s new Material Maintenance Management (3-M) System which had arrived onboard days before. The Preventative Maintenance System (PMS) was a major sub-system of 3-M. There it sat in nearly a pallet load of corrugated cardboard boxes; all but one of which was filled with Maintenance Requirement Cards(MRC).
Each MRC provided the details needed to enable a sailor (sometimes more than one sailor) to complete a specific preventive maintenance item. It listed: safety considerations, all materials needed (tools, parts, etc.), estimated time to complete, a step-by-step protocol the qualifications (pay-grade(s)) the sailor(s) needed to have before attempting the maintenance action. The remaining box contained the preventive maintenance scheduling guidance. Each maintenance activity covered by an MRC, was assigned a frequency: daily, weekly, monthly, quarterly, annually, or as required. The Chief Petty Officers and Leading Petty Officers of each division (team of sailors with specific rates – job titles and skill sets) were to develop and maintain weekly, monthly and quarterly charts showing scheduled and completed maintenance. For some reason, I decided to calculate the total number of person hours needed to compete all of the PM requirement. I then computed the total number of person hours available, based on the number of sailors serving on the ship. It turned out that the folks who had developed the 3-M PMS had not done a similar calculation. Had all hands spent 24h/d x 7 d/w x 52 w/y they would have provided just about enough person-hours to complete 40% of the PM labor. Such was my introduction to PM.
Don’t get me wrong, PM was a great innovation for its time. The predetermined maintenance item frequency was based on someone’s best estimate of what needed to be done to minimize the risk of equipment failure. However, it was not data driven. In fact, the 3-M system had a fairly effective feedback component, and before many years passed, the Navy learned that in some cases, maintenance actions actually increased failure risks. I suspect that early PM adapted in industry learned some of the same lessons. Eventually, PdM succeeded PM. In contrast to PM, in which maintenance actions are all given the same priority and are timetable driven, PdM uses trend analysis, condition monitoring (CM) data, asset assessment and cost impact analysis to determent when preventive maintenance actions are needed. The end objective is the same for both PM and PdM, but the latter makes much better use of available resources.
So how do we design fuel system predictive maintenance programs that provide a high return on investment?
Let’s start with cost impact analysis. My experience with microbial audits at fuel retail sites suggests that annual corrective maintenance costs at heavily contaminated sites run $1,500 to $2,500 more than at sites with negligible microbial contamination. I’ve also found that at sites where cars line up to fill-up, 8 gpm dispenser flow rates (instead of 10 gpm) translates into 62,000 fewer gallons sold per dispenser per year. Today, gasoline and diesel are both selling for $2.45/gal. At that price the fuel not sold is worth $152,000. That is opportunity cost. Multiply that number by the number of dispensers on site and the opportunity cost becomes substantial. If the site also has a C-store, estimate the impact of reduced dispenser flow rates on customer satisfaction and C-store traffic/purchases. All you really need to know at the outset is your typical dispenser flow rate, your current fuel price and the number of hours per day during which drivers have to wait in line before pulling up to a dispenser.
In my next What’ New post, I’ll discuss some basic CM tools. In the meantime, if you’d like to learn more, reach out to me at fredp@biodeterioration-control.com.

FUEL & FUEL SYSTEM MICROBIOLOGY PART 4 – MORE ON TESTING

drunk-looking-for-keys

Are we like the drunk who looks for his keys under the lamppost (if you don’t now this shaggy dog story, he had dropped them in the nearby dark ally, but chose to look where there was more light…)?

In my last What’s New post I quoted Daniel Kahneman: “What you see is all there is (WYSIATI).”  In this post I’ll explore the concept a bit further.  First, I will review some of the essential concepts I’ve covered in my three most recent, previous posts.  Apropos of EPA’s observation that at 83% of the fuel retail sites with moderate to severe corrosion, the owners were unaware of the problem.  That’s like saying that 83% of people with moderate to severe heart disease are unaware of their condition (there is a reason that heart disease is called the silent killer).  These folks simply walk around like heart attack time bombs; confident that they are not at risk – until the moment they collapse and must be rushed to the hospital.  In the case of heart disease, there is a considerable amount of public outreach to help educate people about the importance of routine health examinations.  These examinations are performed to detect incipient disease and to identify actions that can be taken in order to reduce the risk of the disease causing major health issues. 

Effective condition monitoring programs serve the same purpose.  In the manufacturing world, asset-value based predictive maintenance (PM) is the currently accepted best practice.  PM is based on the proven return on investment from timely and effective condition monitoring that drives equally timely and effective maintenance actions in order to maximize equipment performance and performance life.  Unfortunately, this approach is not broadly embraced within the petroleum retail community.  What we generally accept as condition monitoring focuses on detecting damage after it has occurred: WYSIATI – until we see damage, we assume that it can’t exist.  In my Microbial Damage – Part 2, What’s New post I discussed the effect of collecting the wrong type of sample.  In may last post, I compared the ability of different types of microbiological tests to detect microbial contamination when it was present in the sample. 

In the fuel retail sector, we have a tendency to wait until we have had a failure (perhaps as minor as a broken well-cover, or as major as a leaking UST), a tendency to collect the most convenient sample rather than the one most likely to harbor microbes (like looking for our keys under the lamppost, where there is light, instead of in the dark ally, where we dropped them), and we tend to use a microbiological test method (culture testing) that has been around for nearly a century (remember, culture testing is unlikely to detect more than 0.1% of the microbes present in any fuel-system sample).  We then feel confident that our fuel systems are risk-free.  Here is today’s take home lesson: negative (below detection limit) microbiological test results provide much less information about contamination than do positive results. 

So how do we design fuel system predictive maintenance programs that provide a high return on investment?  I’ll offer some thought about this in my next What’s New post.  In the meantime, if you’d like to learn more, reach out to me at fredp@biodeterioration-control.com.

FUEL & FUEL SYSTEM MICROBIOLOGY PART 3 – TESTING

.

How much of the total microbial load each type of test detects.

 

I’m starting this post with an illustration from one of my recent presentations (click on the image to enlarge it). The quote is from Daniel Kahneman’s book: Thinking, Fast and Slow. It reminds us of how often our perceptions are much more limited than we realize. Let’s turn to the circles to the right of the quote.

(more…)

FUEL & FUEL SYSTEM MICROBIOLOGY PART 2 – SAMPLING

In his 1967 book, “The Use of Lateral Thinking” Edward di Bono introduced the concept identified in the book’s title. He contrasted “lateral thinking” against “linear thinking” and argued that successful resolution of any challenge required both types of thinking. What does this have to do with detecting microbes in fuel systems. Standard Practices, such as PEI’s RP900 “Recommended Practices for the Inspection and Maintenance of UST Systems”, are examples of excellent linear thinking. They prescribe a series of steps for performing UST system condition monitoring. Similarly, ASTM D4057 “Practice for Manual Sampling of Petroleum and Petroleum Products” provide a wonderful, linear sequence of steps for collecting fuel samples. Neither of these documents promotes lateral thinking. RP900 is great at detecting component failures once they occur. Similarly, D4057 is great for obtaining samples on which to run tests to determine whether the product is in specification. In contrast, ASTM D7464 “Practice for Manual Sampling of Liquid Fuels, Associated Materials and Fuel System Components for Microbiological Testing” encourages lateral thinking. It encourages users to ask: “what do I intend to do with my sample” and “if I want to detect microbial contamination, what kind of sample do I need to collect; from where should I collect that sample?”
Samples collected per D4057 are unlikely to contain microbes. Consequently, they are not the samples on which it makes any sense to test for microbial contamination. This is the number one reason microbial contamination in fuel systems remains undetected even after the bugs have caused component failure. Microbes need free-water to thrive. Free-water accumulates as condensate on tank surfaces – particularly in the headspace, above product, and on the tank bottom, below product. A substantial volume of free-water is also trapped within slime that accumulates on tank walls. Linear thinking guides us to collecting UST bottom-samples from fill-lines. Lateral thinking helps us to consider alternative sampling points and sample types. If you are interested in learning more about sample collection for microbiological testing, contact me by phone (609.716.0200) or email (fredp@biodeterioration-control.com). In my next blog post, I’ll discuss microbiological test methods.

FUEL & FUEL SYSTEM MICROBIOLOGY PART 1 – THE VALUE PROPOSITION.

When I ask petroleum retailers if they have microbial problems in their fuel systems, almost always, the answer is: “No!”. After reading EPA’s recent report – Investigation of Corrosion Influencing Factors in Underground Storage Tanks with Ultra Low Sulfur Diesel Service – I felt better; sort of. The report’s Executive Summary states: “We observed 83 percent of the inspected tanks had moderate or severe metal corrosion. Prior to our research inspections, less than 25 percent of owners reported knowledge of corrosion in their UST systems.” It also observes: “Our research suggests that MIC is likely involved in the moderate or severe internal corrosion in USTs storing diesel.” For the uninitiated, MIC stands for “microbiologically influenced corrosion”.
Now think about this. Regardless of whether UST were fiber-reinforced polymer (FRP) or steel, the vast majority of UST tested had moderate to severe corrosion. Yet only 25% of site owners were aware of the problem. How is this possible? Perhaps we find one explanation in two, September 2016 PMAA Journal articles. Both report how PMAA leadership convinced the U.S. EPA to roll back their initial full set of routine system inspection items that were to be required under the 2015 revisions to the UST Regulations (40 CFR part 280). Interestingly, both articles focus only on the apparent savings site owners will realize. Neither article mentions that the repair and site remediation costs associated with fuel system leaks or failures: $250,000 to $500,000. Note that these estimates do not include revenues lost during site repair. Now let’s consider how many years of more thorough site inspection and condition monitoring one could get for a system failure that only cost $250,000. The PMAA Journal articles suggest a savings of approximately $4000/year/site. That translates into >62 years of more thorough condition monitoring that would reduce the risk of failure substantially. I think that it is particularly noteworthy that the PMAA Journal articles indicate that “PMAA is helping to revise the Petroleum Equipment Institute’s RP-900” in order to reduce the thoroughness and frequency of the walk through inspections detailed in RP-900. Is this a penny wise, pound foolish strategy? In my next post, I’ll discuss the problems with current fuel retail condition monitoring programs. Spoiler alert: I won’t be arguing that they are too burdensome or expensive.

US EPA PUBLISHES REPORT – CORROSION IN ULTRA LOW SULFUR DIESEL (ULSD) UNDERGROUND STORAGE TANKS (UST).

The US EPA has just released a report of the results of a series of 42 UST inspections that were performed in January and February 2015. Despite the tiny percentage of ULSD UST inspected and sampled, the report highlights the considerable disconnect between observed corrosion (83% of the systems inspected had moderate to severe corrosion) and corrosion awareness (only 25% of site owners were aware of corrosion issues. The report also does a nice job of listing the different ways in which uncontrolled corrosion – particularly microbiologically influenced corrosion (MIC) – can increase operational costs and decrease profitability.
The investigators were able to collect bottoms-water (B-W) samples from only 11 of the 42 inspected UST. The pH of those B-W samples averaged 4.6, which is in the acidic range (neutral pH = 7.0). Moreover, many of the B-W samples contained mixtures of weak organic acids that are characteristic of microbiological activity. Unfortunately, no microbiological testing was included in the study.
The report’s greatest value is in its potential to improve awareness. I recommend that all fuel retail site owners and operators read at least the executive summary. You can find the EPA report at https://www.epa.gov/ust/alternative-fuels-and-underground-storage-tanks-usts#tab-5.
BCA’s Microbial Audit program is unique within the petroleum industry. It provides the total picture of both current and potential MIC risk. For more information visit the Microbiological Audit’s section of BCA’s Services listing (https://biodeterioration-control.com/microbial-testing-services/).

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