﻿WEBVTT

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We'll good morning, everybody, and thank you.

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I am Michael Kosky with Ecc. I am the project manager for the Lake City Army ammunition, plant contract, but I'm just the Project manager.

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Germain from Dakota technologies. They're the ones that really understand this.

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We want to thank everybody. Obviously here at Frtr. For inviting us and allowing us to present this work that we had done here.

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You'll notice that we have changed the title here on the presentation slightly, that our dial lift wasn't really after the plume.

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The plume itself had been well characterized, as we're going to show you, and what we were really after were the actual napple pits themselves.

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We were after the pure stuff, the real source material that was driving the Restoration timeframes as well as the downgrading plants.

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With that. These photos are all of the field staff that were out there doing this work.

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Some of the post-mortem processing the Evs data that we were done that we'll walk through here today real quick as an outline, relatively simple, that we're going to walk through conceptual site model for Lake City.

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A little background, a little bit of a technology discussion of Dialith and what it means.

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What we did from field approach post-processing data, and then our results.

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In conclude this work was done with a lot of folks supporting us.

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So this work was done under a contract with army environmental command.

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Specifically, I'd like to call out Sarah Clark and Jonathan Harrington there at the Army, but even within the army itself we had support from the Omaha Core with Mark Rothes here in the room, thank you, mark and your team the onsite folks there at Lake city so again, a

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lot of folks involved here, even with our Regulators.

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We are in Npl site, and our Regulators are an integral team member.

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We each have our roles, but we all are working towards a common goal of being protective and trying to be compliant.

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Obviously, with all of our regulations. So again, Angela Sina, their EPA region 7, is our primary Rpm.

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Ewi, who actually have to do all the hard stuff in the field.

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Lake, city, lake City is the army's premier small arms Manufacturing.

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They make about a 1 billion and a half small arm rounds every year.

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They've been active since the 1,900 fortys.

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Obviously what we did in the 1940 S. Isn't what we do today, but you can see up there in that top right hand corner.

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They made an awful lot of degreasing wastes, regular petroleum waste, and solvent waste, and they did what was best practices back then he dug a pit, and you threw it in.

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They put almost 6 million gallons of solvents and petroleum waste into these pits.

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These are big pits. So with that Lake City has been actively trying to investigate these sites since the early 1980.

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S. So they've got a 40 year history of trying to correct these sites.

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You can see that in this history, you know. It started off simple.

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Oh, we'll just put a couple monitoring wells out there that has now grown across several phases of investigations, remedies to over 250 monitoring wells injection wells that cover the site.

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It's a big site that's out there with that we're going to focus in on the Dye lift investigation that we started in 2020.

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The real purpose of the dial lift was all the previous assessments, and we'll walk through these here in a second had been focused in on the dissolved plume where the plume was going down.

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Gradient receptors getting off the installation, and there was little to no effort in the pits themselves, because they were concerned about disturbing of an apple.

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So with that the Dialith in contrast, was focused on the pits themselves, and it was a prelude to provide a design basis for the in situ thermal remedy.

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So we were going to spend about 7 million dollars building a thermal ready to tackle a portion of the pits, and we didn't have a design basis for it.

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Everything else that had been done and characterization had been done around the edges of the pits.

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Nothing had ever ventured inside the pits I point out some of the remedy components here, mainly the Zvi mixing.

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There was an attempt to mix Zvi with the pits inside the pits themselves.

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It was a budget constraint that was taken on back in 2,007.

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They only tackled about 7%. I highlighted here just because that became part of the Dial Lift objective is, how well did that Zvi mixing perform, and how much of an apple was still left behind after that treatment?

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Conceptual site model. Relatively simple, not nearly as detailed as yours.

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Mark, obviously, Tce is our primary contaminant of concern.

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But this is a Naple site, and it may be a personal preference.

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I try to avoid the term Dean apple or Ln apple, because it's got both out here.

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There's plenty of napple. There's actually a little bit of stratification of the apple that up high.

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You had more petroleum that was released that petroleum has been feeding natural reductive decorlination.

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We have dehalocody. Bacteria counts in the pits that are well above 10 to the 12.

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There's a real active system going on there in the pits, because it has plenty of petroleum there with it.

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But deeper, down, the chlorinateds have depleted that stoichiometric excess of the petroleum.

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There's no more petroleum deep down, so we do have 2 different kinds of napples within these pits we have an Ellen apple up top.

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We have kind of a suspended apple in the middle, and then we do have a more traditional Dean apple down deeper in the pit.

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It's a tight clay, most of all the migrations are in a vertical sense, from groundwater infiltration and naple movement until you get to a weathered bedrock zone, and then you tend to get more of a lateral movement at that point.

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There is a confining shale here that does try to keep things confined to a certain degree.

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Alright. With that I think we'll turn it over to Randy online, if that's possible.

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Randy, would you like to say Hello?

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Hi, how are you? Am I coming through? Okay.

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Perfectly loud and clear.

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I can't tell which screen I'm sharing yet.

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Can you see my screen?

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I see I see your slides, but they're in the edit mode.

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Oh, I'm trying to share the other screen.

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We'll see if I can.

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They are now inside your mode.

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Okay. Got it all right. Well, I'm the Laf guy.

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I've been doing. Laser induced fluorescence.

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I'm a Naple hunter, and I've been doing it since the I saw a Scap survey in 1995 at this particular location, and they probably were deploying some sort of L. I. F. Even back.

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Then, but that's my job, and what I'd like to do is set the table for you a little bit on.

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How l I f it matters right Naple. Fluorescent.

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It varies considerably based on the chemical composition it's and it's pretty much critical of that.

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You choose the L. If tool that matches your site's target and apple, and over the years, it's actually taken, you know, several decades for us to develop specialized forms of Laf for each Naple class.

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And I'm gonna review those for you. Now, first of all, is kind of the easy one, the refined gasoline jet fuel, kerosene things like that. Ross.

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The rapid optical screening tool back in the day that was supported with what was then Fc.

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Funding. It's now called you most. It's been modernized a little bit.

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But it's really ideal conditions. When you have a refined apple.

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It's mostly aliphatics and non-active players that allow this.

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This nice broth or the swimming pool for the polycyclic, aromatic hydrocarbons.

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Those are the ones that absorb light and then re-mit it.

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Often times as a beautiful kind of cyan blue. Those that type so that's classic.

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That's sort of the easy. All I have to do when you get into Coltars and Korea.

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So it's Bunker fuels, tank bottoms.

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It changes completely. They are almost non fluorescent when you encounter them with an ultraviolet based tool because of something called energy transfer.

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There's just too many p H. Is piled in on top of each other. Okay.

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And that's called energy transfer. The laser energy goes in.

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We expect fluorescence, but it just gets lost in this mosh pit of energy transfer.

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And finally, there are molecules or types of napple that don't fluoresce their relatively starved.

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The pahs. Your classic tce and pce peer benzene Eileen toline apples, chlorobeenzene.

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There are a lot of napple types, and what we have to do there is innately, they don't fluoresce.

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They might have picked up a few scavenged pahs in their use.

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So we add a die that ends up jumping into an apple and making it brilliantly fluorescent.

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That's called dial I F. So when we're doing these surveys, we take advantage of 3 things.

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The color, the brightness, but also the lifetime. Okay, and that's it's something you can't see with your eyes.

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So here's those photographs again. If you are in the sapphire window, probe, and you were going down through Diesel and gasoline and coal, tar and Kya. So you'd be seeing different things.

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But what you can't see is the lifetime.

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So what we do is we pulse with ultraviolet lasers.

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In the case of Uvest and Ross, and we monitor this 300 nanosecond window, so we excite them very briefly with a real- brilliant flash of laser light.

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And then we watched those different colors of fluorescence decaying away over time.

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And there's actually a relationship between the color and the size of the pahs.

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It gets redder and redder at this as the Ph is, get larger and larger, that color of light coming from those different molecules now to attack these real stubborn types of apple, the heavies coal tires creates things like that we had to come up with something called targs with just tire specific green

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optical screening tool, and you'll notice how short-lived this is.

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Time again on. Look how skinny those are! That means the environment is terrible for for fluorescence.

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If anybody made it out they would have had to turn around and spit that fluorescence out within the first nanosecond or 2 of being excited, or it got lost to that energy.

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Mosh pit right? And then there's dial I F, and we use a dye that has a very weak amount of fluorescence innately when it's in the carrier water.

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It has a very short lifetime, but when it solvates, when it jumps over into tce or pce, for that matter, it blue shifts, and it gets a much longer waveform and I've got more examples here to come so I'm the guy who kind of gets that sick feeling when we

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get a request for proposal, and it just says we'd like we'd like you to supply L. I. F.

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For our project, because it matters let's talk a little bit about the L. I. F.

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Technology. The concept is when we're laying down a snails trail of this dye in a mostly water carrier.

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Fluid, and we're injecting that a lot lot like the hydraulic profiling tool.

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And whenever we pass through true little nuggets or ganglion of Dan apple, showing here in this darker blue, we end up seeing a tremendous increase in the amount of fluorescence.

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Okay, so when we're not in true Dean Apple, even though we're in high, sororbed or dissolved up tce or pce, or whatever, what have you that those dialy crystals?

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And you can see they're scattering green light.

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Here's a sapphire window. Here's the green laser beam passing up, and they're just scattering light.

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They're not doing much fluorescence. If you put that those same dye molecules in PC or Tce, they're brilliantly fluorescent.

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They absorb all the green light, and they re-mit it as a blue shifted color.

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So before every project we want to vet the performance of a certain which tool should we use right?

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So we bench tested some 17 B napple prior to mobilization.

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Like the questions in our mind is, will that an apple solveate our die?

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That we're looking to act as an indicator is Diall.

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If even a is it viable for this project, or should we advise the client that we that we're gonna have to go some other direction?

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And if so, what will those waveforms look like when we hit the ground?

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We like to know? What's the response going to look like?

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So we can react to those results in real time. This particular napple was jet black, and my heart fell when I saw that even though it's 17% tce, it's already got a bunch of things code dissolved into a chroma force and black carbon and all kinds

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of really large stuffborn pahs. And so one of the things we do when we're checking for a dial I have project was, can that Dean Apple solve 8 oil red?

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Oh, a staining die that's been used successfully to indicate when true napple bls are present.

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You can see this is Pce. It turned a nice red.

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But look what happened when we mixed the 2 samples that we got from the project on the sand and put the die in there.

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It just remains jet black. You can't see that red color that's being formed.

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Okay, that's in stark contrast to this.

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This was in a couple of years ago. Cape Canaveral launch, Complex.

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16, a dam. Val. That we did with the army core and afghk, and this is a Dean apple that we ended up finding for the first time at the site it's 60 years old, and it's still very clear kind of a honey color, at most and it rapidly solvates and

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another die that acts as an indicator.

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So we tested the dial. If response and that's a different type of dye that goes fluorescent doesn't change to a blood red.

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It changes to a fluorescent orange yellow toe, orange to red color when it's in a solvent.

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Here are the 2 samples that we tested, and we put our indicator die in, and we really couldn't detect, even visually, under a UV lamp, that there was any change whatsoever by adding the dye to the site specific nap so that was disappointing this is what we should have

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seen was almost like your under a UV lamp. You almost see it's like lava.

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It's there's no doubt you can see one tiny little gas bubble with an apple around it in the entire vile. If you use a fluorescent indicator, dye now, we did end up testing another tool and I'm gonna explain why we tested the targ ghost here in a minute. But we got a little bit of

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minor, dye enhancement of the fluorescence, and this is a benchtop scan of placing samples on a sapphire window, and we did see some enhancement.

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It isn't nearly that the enhancement we're used to would die.

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Life, so what we ended up doing was selecting a Targos D life hybrid right?

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Because your Tc email, it was co-solvated in a really low fluorescence host, tar matrix.

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And that's what targ ghost is made to to respond to monotonically.

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It's designed to sense those low, fluorescent tars and it's Bunker fuel type and apples.

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So what we did is we snuggled right in between the 2 right?

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We use Targ ghost as the host, but we also injected a dye.

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And the reason. We injected the dial was acted as an insurance policy.

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What if there was some some amber colored, or some more of a honey colored napple that hadn't yet been encountered yet in earlier surveys?

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And we ran through it, and we didn't have that die.

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There to help activate that and so that's the tool that was chosen.

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And with that I will turn it over. I'll stop sharing.

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And Jesse can take over.

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If I need to do it this back.

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Sarah? Is Gene coming back?

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Cause. I think it's on her control to bring us back to.

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That's right.

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I could keep sharing from this end if you wanted to.

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Just say, next slide. Jesse.

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Yeah, I think that would work.

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Okay. See if I can make it happen here.

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So Randy is bringing up the slides I'll introduce myself.

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I'm Jesse Wright, senior geologist with Arcadus.

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So will you? I'm going to start talking about our dynamic work plan.

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So on the aerial photo we're showing we have the the solvent pizza gray.

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Those 0. Valent iron mixing areas are in the dark brown.

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And then we have the red line that's showing the estimated an apple extent from the previous investigations.

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So our objectives.

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Do it this way.

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And he's gonna do it. So raining, I'm just advancing.

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Take him. There we go, turn around and watch this, so our objectives or this investigation were to estimate the extent and mass at an apple, and then that would provide a basis of comparison for the planned thermal pilot study and then the secondary objective was also to assess the

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previous Zvi treatment. So our scope element Randy, if you could go back one, there you go.

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Our scope. Elements included the dye Lf.

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Borings, and all cool core soil sampling borings.

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So by what we mean by Wcss. Is just continuous soil course with high resolution, soil sampling approximately every 2 feet.

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So the key point here is, we had prescriptive and adaptive locations.

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What we mean by that is the prescriptive is shown in the orange.

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We had that cross of dial I f locations. So we did those first, and then we also did.

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Yeah, some co-located soil borings at those orange locations to understand the dialya effort response before we started with the adaptive.

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So then, if you go to the next, there's blue locations.

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That's an adaptive grid. We didn't intend to complete all of those locations.

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We would just step out from prescriptive the orange locations where we detected Napa.

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We want to go to the next.

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Here we'll talk about the workflow. Little more detail.

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So we did the the field work over 4 weeks. The first week was the prescribed Diala Diy, Lf. Locations. We talked about.

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As we're with the Geoprogrig. During weeks 2 and 3 we had both the Dial and a sonic red collecting the the soil borings, and we have a graphic here from the EPA triad approach, because this investigation was really founded on Triad concepts so during weeks 2 and 3 we had daily

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planning calls with the stakeholders, and we'd review the results from the previous day.

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And then the the plan locations for that day, then fourth week it was just finishing up with the sonic drill rig advancing soil, borne.

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Yeah, we want to just bring up the key point that earlier in the process, we were collecting those.

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Soil cores it. Key locations co-located with with the dial.

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Yeah, before we got too far to make sure we were understanding the the dialect data.

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Next!

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Alright! We'll talk little bit more about the die.

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Live calibrated. Click next 90.

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So we start with. This would be one of the earlier dial.

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If logs with the magnitude of the response is in to the right, so you'd see up high.

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We have that high response over a thicker interval. Then we have those bristles with with peak responses.

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So what we did was then we advanced a soil core, and in that first interval, for example, we might have had 2 sub-cores, 2 sub samples.

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A would have been a sample or voc webinars would have been a vile or dial if pinch testing then, if you look at the next interval down, we might have also had a third sample for Tph and Svocs live analysis, and then we're also

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noting sub sample d most projects we would have done a field oil redo, digest.

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But is Randy mentioned on this project with the taurine Apple?

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Wasn't able to to solvate the oil red.

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Oh, then, in addition to all these soil samples shown a picture of one of the course, we also collected samples of.

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Emulsified vegetable oil and waste materials, such as plastic.

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Latex gloves and an apple saturated wood. So that way we could understand all the different types of fluorescence at this site.

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Wanna go. Next.

00:24:09.000 --> 00:24:15.000
Okay, this last animation. We're just showing a box with the all the sub samples.

00:24:15.000 --> 00:24:22.000
And then the yeah. L, I, F. Bench, top analyzer.

00:24:22.000 --> 00:24:27.000
Alright!

00:24:27.000 --> 00:24:39.000
Alright. So then, once we have all this data, thousands of data points, including hundreds of vials, we shipped off to Randy.

00:24:39.000 --> 00:24:44.000
We need a way to make sense of all, all the results.

00:24:44.000 --> 00:24:48.000
So one option would be to look at several spreadsheets, but that really wouldn't be practical.

00:24:48.000 --> 00:25:03.000
So what we've come up with are these data dashboards and what we do is hang all the data from the different lines of evidence at the same vertical scale.

00:25:03.000 --> 00:25:11.000
So on the far left we have the soil descriptions from front, the boring log.

00:25:11.000 --> 00:25:16.000
Then we have the flow and pressure response from the dial. I.

00:25:16.000 --> 00:25:21.000
F, then next over we're showing the fluorescence percent re response from the dial.

00:25:21.000 --> 00:25:35.000
If including our site, specific apple threshold that Randy is going to talk about a little bit more.

00:25:35.000 --> 00:25:39.000
So continue on. We have did meetings. We also did some field screening of cores with the flute.

00:25:39.000 --> 00:26:02.000
And apple. So you see where we had positive protections there indicated by Red, and then we also have visible apple indications, 2 different intervals with with purple, and then the last column are all the lab results.

00:26:02.000 --> 00:26:13.000
So we had total vocs in the 1,000 up to almost 100,000 milligrams per telegram.

00:26:13.000 --> 00:26:21.000
The one thing I want to bring up here. We have a picture that 49 feet where we had this will an apple, and you can see.

00:26:21.000 --> 00:26:32.000
How discreet that at 10 interval is! It doesn't even extend the diameter of the 4 inch soil core.

00:26:32.000 --> 00:26:40.000
So that's why, in that same interval with the dial, if we're a foot away, that's why we don't seen apple with the dial.

00:26:40.000 --> 00:26:48.000
F is because that an apple it seemed to not extend a foot away.

00:26:48.000 --> 00:27:00.000
So it just speaks to the real heterogeneous distribution of Nappa at this site, and the discontinuous nature.

00:27:00.000 --> 00:27:01.000
Next. Alright! Back to your Randy. Yep!

00:27:01.000 --> 00:27:09.000
I guess the next one is mine. Okay, yeah. So you know, one of the things that we saw as Jesse mentioned these little tiny encounters.

00:27:09.000 --> 00:27:18.000
These very brief encounters are just gonna momentarily lay in front of that sapphire window.

00:27:18.000 --> 00:27:26.000
And so we're having to gather that data at very high resolution in order to to pick up on those little blabs.

00:27:26.000 --> 00:27:32.000
One thing that we insist on before we go to the field is to go ahead and confirm that that Targos dial life hybrid that we came up with.

00:27:32.000 --> 00:27:42.000
Would it really respond to tce Dean apple at various saturations if they're encountered in the field?

00:27:42.000 --> 00:27:42.000
And this just an example of one of the logs. But here's that waveform. Remember the L. I.

00:27:42.000 --> 00:28:04.000
F sees both a combination of colors and lifetimes, and this is what the dye looks like on a Targ ghost when it hasn't solvated into any type of an app, and there's thousands of data points we have to manage so we've taken these dozens.

00:28:04.000 --> 00:28:10.000
Of data points waveforms. Basically, they're stored about every half centimeter.

00:28:10.000 --> 00:28:17.000
And we actually replot them. We look at the color and the lifetime, and we put them up on what basically equates to the L. I. F.

00:28:17.000 --> 00:28:28.000
County plat map of where these different types of fluorescences occur with respect to their color and their lifetime.

00:28:28.000 --> 00:28:35.000
Okay. And that allows us then to map out, you can see that as we added more, this is low.

00:28:35.000 --> 00:28:41.000
Tc, E. Dean, apple concentration on sand, medium and high.

00:28:41.000 --> 00:28:47.000
And look at these big numbers, 8,000%. And you don't have to be an expert.

00:28:47.000 --> 00:28:48.000
But trust me, that's a very high number, and this is literally what you'd see with your eyes.

00:28:48.000 --> 00:29:02.000
You'd see some of that color and intensity differences, as you added more and more tce Dean apple to a dyed soil.

00:29:02.000 --> 00:29:11.000
Okay. But it's really difficult to sense the lifetimes that are also a very important part of what we do.

00:29:11.000 --> 00:29:21.000
Now these are some of those false positives that Jesse mentioned trash literally almost anything that was biogenic or or man-made.

00:29:21.000 --> 00:29:27.000
Back in the day plastic, for instance, look much different waveform, in fact, that looks like a positive.

00:29:27.000 --> 00:29:30.000
I'd call that a positive for tce all day long.

00:29:28.000 --> 00:29:40.000
It lands in that same zone as a tce blab would, but it's just from plastic.

00:29:40.000 --> 00:29:43.000
You also have trash beds that fluoresce differently.

00:29:43.000 --> 00:29:59.000
Would, and even fiber board, and then look if we go back down here to where we put a glove on the sapphire window, we're right back up here to where they would also fluoresce, or was it the trash bag I can't remember but it's a

00:29:59.000 --> 00:29:59.000
lot of information to keep track of. Now these numbers are actually relatively muted.

00:29:59.000 --> 00:30:10.000
Remember, if we see some good juicy tce or pce, we would have run into the thousands.

00:30:10.000 --> 00:30:20.000
But we're just seeing a couple 100 here, but because we're hunting really, tari, low, fluorescent yield Dean Apple's well.

00:30:20.000 --> 00:30:25.000
Now, some of those smaller types of signals become an issue and we have to do everything we can to filter that out.

00:30:25.000 --> 00:30:36.000
One way we do that we've got anywhere between a 1,000 to 3,000 waveforms in every log, and we what we want to do is process those out.

00:30:36.000 --> 00:30:43.000
Okay, so what we've done on this project is, we took the die carrier fluid, which we don't wanna include.

00:30:43.000 --> 00:30:50.000
That's this orange response was just the dye fluid that hadn't interacted with any naple.

00:30:50.000 --> 00:30:56.000
These 3 are actually napples that were harvested from samples that we took put back on the Targos.

00:30:56.000 --> 00:31:04.000
And then we got that characteristic. Okay, now, we've got a basis set of what types of N apples we ended up encountering.

00:31:04.000 --> 00:31:09.000
And we filter that data out. And we want to get rid of that die.

00:31:09.000 --> 00:31:16.000
Now keep your eye on this particular log, this section of Dean Apple ended up fluorescing down in this zone.

00:31:16.000 --> 00:31:19.000
That's where all these, in fact, I'll go back.

00:31:19.000 --> 00:31:24.000
Here's the raw data. Here's where all the fluorescence is happening.

00:31:24.000 --> 00:31:34.000
Okay, and when we process that it's that target Naple that we discovered at location Dl, 40, to use the calibrate.

00:31:34.000 --> 00:31:37.000
That's the bucket that it threw most of it in.

00:31:37.000 --> 00:31:41.000
So I we're pulling in all the different types of navy fluorescence.

00:31:41.000 --> 00:31:50.000
And then we sum them all up. We want to get rid of the dye solution or the dye fluid, and we wanna total up all 3 of the types of No.

00:31:50.000 --> 00:31:59.000
Apple, and what we come up with. Then at the end is total napple derived fluorescence, and essentially, that's our refined.

00:31:59.000 --> 00:32:06.000
Here's all our or and this is our refined data that we really want to put into our conceptual site model.

00:32:06.000 --> 00:32:11.000
And as Jesse mentioned, we used all of that multiple lines of evidence to come up with. You know.

00:32:11.000 --> 00:32:23.000
On average, it seemed like when the total Napa florid and succeeded 12% re, that's when we had a good confidence that it was indicative of true and apple.

00:32:23.000 --> 00:32:28.000
And then finally, here's a field log. We can actually drop that process data in.

00:32:28.000 --> 00:32:34.000
And this is the data that we ended up using for the 3D conceptual site model.

00:32:34.000 --> 00:32:44.000
And with that we'll turn it back over for the investigation summary.

00:32:44.000 --> 00:32:56.000
So for the results. Starting again with the photo showing the the red line with the extent of an apple from the pretty good investigations.

00:32:56.000 --> 00:33:01.000
Click, next.

00:33:01.000 --> 00:33:06.000
Click, one more!

00:33:06.000 --> 00:33:09.000
So we're showing the results with circles for the die.

00:33:09.000 --> 00:33:18.000
Laf borings. Purple is where we had positive for an apple.

00:33:18.000 --> 00:33:22.000
Blue known apple is encountered, and then gray would be the false, positive.

00:33:22.000 --> 00:33:27.000
Randy was talking about, and we have the picture of the plastic again.

00:33:27.000 --> 00:33:36.000
There, and if you click forward again.

00:33:36.000 --> 00:33:43.000
Now we're showing the squares, the soil, boring locations, using the same colors again.

00:33:43.000 --> 00:33:48.000
Purple that's where we had a positive for an apple blue.

00:33:48.000 --> 00:34:00.000
We did not encounter an apple, and what you'll notice is for some of those co-located locations will have a dialogue. Die L. I. F.

00:34:00.000 --> 00:34:04.000
Boring, where we found apple soil boring right next to it.

00:34:04.000 --> 00:34:12.000
It was negative, and then we'll also have the opposite, vice versa, where we'll have a boring.

00:34:12.000 --> 00:34:20.000
Had an apple, but the dye laf didn't, and again, that's back to the we had very.

00:34:20.000 --> 00:34:33.000
Thin seams of an apple here, so we've got a another photo showing that so it's really just that when you move a foot away you're not encountering that same apple scene.

00:34:33.000 --> 00:34:55.000
So the picture or the figures kind of busy. But the the main point is, we really improve the understanding of the an apple distribution which updated the conceptual site model, then went into the designing the thermal remedy.

00:34:55.000 --> 00:35:00.000
Click, next.

00:35:00.000 --> 00:35:10.000
So we took all of our data and loaded it into a 3 dimensional model on the left.

00:35:10.000 --> 00:35:23.000
We're showing the dial life intervals where we detected an apple, and then on the right, we're showing the vocs in soil.

00:35:23.000 --> 00:35:27.000
Purple region is the area that's greater than the site.

00:35:27.000 --> 00:35:39.000
Specific, apple soil, saturation limit. So we have 2 different napple estimates using the dye Lf data.

00:35:39.000 --> 00:35:52.000
We came up with 13,500 pounds. And then, if we use the Vocs soil lab data, we came up with 28,000 pounds.

00:35:52.000 --> 00:35:57.000
Next!

00:35:57.000 --> 00:36:04.000
Thinking, I just I want to point out that the dial list was only giving you pure an apple it wasn't giving you any of the dissolved.

00:36:04.000 --> 00:36:11.000
It wasn't giving you absorbing nature. Okay? But obviously, when we took a solo core and it was totally extraction.

00:36:11.000 --> 00:36:14.000
So you were getting everything, Napola and their sword.

00:36:14.000 --> 00:36:19.000
Dissolved in there. It was a complete analysis that was in there, and that kind of explains a little bit.

00:36:19.000 --> 00:36:31.000
Why, you're seeing the difference. The biggest thing, though, is, we estimated there were 6 million gallons that had gotten released well, that obviously didn't come anywhere near what the assessment said.

00:36:31.000 --> 00:36:40.000
So it kind of points a little bit too. There's a really active natural attenuation that's going on they're still an awful lot of contamination Lap.

00:36:40.000 --> 00:36:46.000
But there was a lot of natural because of the the solvents that were mixed with Charlie.

00:36:46.000 --> 00:36:58.000
Like, I said when we looked at the allocated bacteria on some of the perimeter wells we had 10 to the 12 sales per liter, and they were just incredible bacteria going on there.

00:36:58.000 --> 00:36:58.000
So this is the picture of the actual thermal system.

00:36:58.000 --> 00:37:09.000
Budget constraints. We couldn't take on the entire pit, so we only ended up taking on a portion of the pit that you see there in the orange highlight.

00:37:09.000 --> 00:37:14.000
We started that construction back in early 2,022.

00:37:14.000 --> 00:37:23.000
Again. This formed the Dialith formed our basis for the actual thermal, and so it ended up because we had a limited volume that we could take on than thermal.

00:37:23.000 --> 00:37:35.000
We ended up shifting our footprint for the thermal to try and make sure we got the most upgrading portion of the pit such that we didn't end up with a recontamination of those treated portions later on.

00:37:35.000 --> 00:37:41.000
The army is in the process of obviously allocating additional funding to take on the balance of the pit.

00:37:41.000 --> 00:37:45.000
But you can see we're about halfway through with the thermal treatment.

00:37:45.000 --> 00:37:49.000
We're only up to about 70°C, with a target of 100.

00:37:49.000 --> 00:37:52.000
And already we've pulled out about 6,500 pounds.

00:37:52.000 --> 00:37:56.000
I know that, says 54. We get a weekly report on it as of this week.

00:37:56.000 --> 00:38:05.000
We're up to about 6.5. So we're almost at, even though our treatment zone was about a third of the time pit.

00:38:05.000 --> 00:38:13.000
We're more than almost half of the mass that we've pulled out so far with a long way to go.

00:38:13.000 --> 00:38:17.000
I think that's it relatively quick, but questions are welcome.

00:38:17.000 --> 00:38:22.000
Conclusions Lessons learned.

00:38:22.000 --> 00:38:25.000
One more slide.

00:38:25.000 --> 00:38:29.000
There's conclusions and lessons. Randy. Did you want to cover those?

00:38:29.000 --> 00:38:30.000
No, I'll let no look behind. Look behind you.

00:38:30.000 --> 00:38:39.000
We'll probably let depends upon the question. If it's conclusion.

00:38:39.000 --> 00:38:53.000
Oh, I'm sorry! Oh, so I guess. But between us, Randy, we can both do it so obviously you you saw it was the planning upfront making sure we pick the right tool.

00:38:53.000 --> 00:39:05.000
It was the the site specific responses that we saw. Making sure we calibrated those responses to actual field data was really important.

00:39:05.000 --> 00:39:17.000
I don't think we really quantified it, but you saw the number of whole core or soul samples that we did with about 300 soil samples, where the dine lift was giving us over 100,000 data points.

00:39:17.000 --> 00:39:24.000
So those 300 soul data points that we had were really key to try and help us calibrate them.

00:39:24.000 --> 00:39:28.000
Those hundreds of thousands of data points from the dialect.

00:39:28.000 --> 00:39:40.000
Obviously the stakeholders. We met daily, and it very much impacted what happened the day before, what our attack for the day was going to be, and that stakeholder didn't include just us as a team.

00:39:40.000 --> 00:39:46.000
Our Cata Ccc. In Dakota. That included obviously the army included Omaha and Cx.

00:39:46.000 --> 00:39:48.000
It included regulators. Everybody had a different take on what they was important to them.

00:39:48.000 --> 00:39:48.000
I mean as a team when we're a good functioning team.

00:39:48.000 --> 00:40:06.000
Let us to then, obviously our attack plan, where you saw we ended up expanding that historic naple, intent or extent to a much larger extent of nappa.

00:40:06.000 --> 00:40:14.000
I think we hinted at it early on the chlorinated in the petroleums, varied with depth.

00:40:14.000 --> 00:40:21.000
You almost ended up with pure chlorinated at the bottom of the pit, and no chlorinated at the top.

00:40:21.000 --> 00:40:42.000
And it really was that drastic. There was nothing at the top, because again, we suspect, because of that active kind of bio cell with all the petroleum that was there. And then at the bottom there was no petroleums. So it was nothing fueling the bottom by remediation that was going on.

00:40:42.000 --> 00:40:44.000
Brandy. I don't know if you wanna touch on the others.

00:40:44.000 --> 00:40:48.000
No, I think I covered it pretty well.

00:40:48.000 --> 00:40:56.000
And then I think the last thing was that we did receive the Secretary of the Army award this year for Justice Dialith Portion.

00:40:56.000 --> 00:40:59.000
Obviously, we're we're once we have our thermal completed, we should have that done this summer.

00:40:59.000 --> 00:41:06.000
Hopefully. We'll see a second award for the thermal treatment that we've done.

00:41:06.000 --> 00:41:12.000
Also alright, I'm sorry now. Gene. Now we can take questions all right.

00:41:12.000 --> 00:41:14.000
Thank you. So we're going to start with questions in the room.

00:41:14.000 --> 00:41:25.000
If you have a question, please raise your hand. If you happen to have a small rectangular black box at the table, push that red button, state your name, and ask your question.

00:41:25.000 --> 00:41:26.000
John Cummings, could you elaborate a bit on how you derived your math estimate with the dial?

00:41:26.000 --> 00:41:37.000
If and what the error bars might be on it.

00:41:37.000 --> 00:41:41.000
Think I heard the question to elaborate on the the mass estimate from the Die Laf.

00:41:41.000 --> 00:41:50.000
Is that correct? And what the air bars might be on it?

00:41:50.000 --> 00:42:02.000
Well, we use. We use Craiging. So we interpolated, and the 3D model terms of the error bars.

00:42:02.000 --> 00:42:08.000
I think there was a couple things. I think it was the soil saturation that we set first the response.

00:42:08.000 --> 00:42:18.000
It was that 12% relative response and we said, Ok, we feel like, this is the site-specific response from the diet to indicate apple.

00:42:18.000 --> 00:42:26.000
And then it was the criging of those hundreds of thousands of data points into that threed model that then derived that that mass estimate again.

00:42:26.000 --> 00:42:31.000
I'll point out the laboratory data obviously included, Sorb, and dissolved.

00:42:31.000 --> 00:42:37.000
So it tended to be biased a little bit higher than that pure Naple phase.

00:42:37.000 --> 00:42:45.000
Error bars plus or minus 500 like all mass estimates and that's just, you know.

00:42:45.000 --> 00:42:59.000
So again we had to think of the objectives here. The objectives were one to assess what the previous Zbi mixing was, and how well it had performed and the second was to set as a design basis for the thermal treatment.

00:42:59.000 --> 00:43:03.000
So we had to have a sense of how much mass were we gonna run into the plus or minus 100% is fine.

00:43:03.000 --> 00:43:13.000
What we didn't know is, we were talking originally 6 million gallons, that's a very different thermal treatment system.

00:43:13.000 --> 00:43:18.000
Than what we ended up with, which was something in the 30,000 pound.

00:43:18.000 --> 00:43:23.000
So the sensitivity to the mass estimate? Probably not as key.

00:43:23.000 --> 00:43:35.000
Considering what the solution would be, which was thermal, which was going to cook the whole thing. If there was 30,000 there, or 60,000 there it was, all getting.

00:43:35.000 --> 00:43:40.000
Right. I believe I saw I had a hand at the front room earlier, and then I'll come back to this side.

00:43:40.000 --> 00:43:48.000
My name is a Casper, and I have 2 questions for the Jesse.

00:43:48.000 --> 00:43:56.000
How much the type forward we have to use for you are doing this contacting this kind of survey.

00:43:56.000 --> 00:44:07.000
Second question is this in 4? Right? And it's another chemical we'll watch out for, and er how are we doing?

00:44:07.000 --> 00:44:13.000
Study to limiting values.

00:44:13.000 --> 00:44:16.000
So Randy? I think the first question, maybe, is more towards you.

00:44:16.000 --> 00:44:20.000
What was the injection rate of the dialogue?

00:44:20.000 --> 00:44:27.000
It. It's about one liter of indicator fluid per dial- boring.

00:44:27.000 --> 00:44:32.000
So this isn't like dye tracing where we're putting pounds and thousands of gallon.

00:44:32.000 --> 00:44:51.000
This is about 1, one or 2 liters of fluid get injected, and that's maybe a gram of dye is injected per location, cause we're just laying down a very thin basically a snails trail of indicator die along

00:44:51.000 --> 00:45:02.000
the side of the probe, so that when the sapphire window comes down it's able to detect that that previously invisible nap.

00:45:02.000 --> 00:45:06.000
Does that make sense?

00:45:06.000 --> 00:45:06.000
Okay. Thank you.

00:45:06.000 --> 00:45:14.000
Yeah. And and did you ask about some other type of Naple contaminant?

00:45:14.000 --> 00:45:19.000
Talk about this before.

00:45:19.000 --> 00:45:22.000
Turn the mic on. Sorry.

00:45:22.000 --> 00:45:24.000
I push the rip button. Can you hear me? Oh!

00:45:24.000 --> 00:45:27.000
We can hear you.

00:45:27.000 --> 00:45:34.000
I work for? Nrc, so I need you to talk into it, going to use.

00:45:34.000 --> 00:45:41.000
I'm so sorry, Casper. It needs you to log into it.

00:45:41.000 --> 00:45:42.000
Oh, I see! I work for Nrc, so it's a decent thought.

00:45:42.000 --> 00:45:45.000
This is all right. It's one of the thought that eventually reacted.

00:45:45.000 --> 00:45:45.000
Many applications. And I'm a health physicist.

00:45:45.000 --> 00:45:59.000
So I'm interesting in the leakage control for the this forward in the reactor size.

00:45:59.000 --> 00:46:08.000
But you're now using this before I put in the undergraduate for special application.

00:46:08.000 --> 00:46:11.000
And do we have any? Thank you how to control? How much is this thing?

00:46:11.000 --> 00:46:20.000
For I can put into the ground. There is not a reform quantity.

00:46:20.000 --> 00:46:25.000
The dogs are!

00:46:25.000 --> 00:46:35.000
Regulation of it is kind of quite common for us. Arrived in de scenes and other tracer dies that have been done.

00:46:35.000 --> 00:46:40.000
The sights, and since the early ninetys.

00:46:40.000 --> 00:46:45.000
So there's not a regulation of it.

00:46:45.000 --> 00:46:48.000
We're focused on I'm sure there's a health effect to the dying that we're using.

00:46:48.000 --> 00:46:56.000
But in comparison to millions of gallons of.

00:46:56.000 --> 00:47:00.000
You know. Obviously, our priority is trying to remove the coordinates.

00:47:00.000 --> 00:47:06.000
All this first, that we have. Yeah pressing there.

00:47:06.000 --> 00:47:06.000
So you do have a cost-benefit analysis in in the future.

00:47:06.000 --> 00:47:20.000
Something comes out for this topic again until I think, you know, there's a there's a pushed back from the regulatory community.

00:47:20.000 --> 00:47:30.000
Thanks. They are a pretty standard practice. Use in the industry for tracer study as well as his specific assessment.

00:47:30.000 --> 00:47:40.000
So at the moment. No, there is no cost benefit, because it's it's not being pushed back that there's there's a deleterious effect of using these.

00:47:39.000 --> 00:47:43.000
This guy was chosen because, yeah, it's non-toxic.

00:47:43.000 --> 00:47:47.000
And it's relatively water and soluble. And that's that's the whole reason.

00:47:47.000 --> 00:47:51.000
That's one of the reasons it works is because it's gotten a water soluble.

00:47:51.000 --> 00:48:03.000
It's it's being carried by water as dye particles, and it doesn't really, truly go into solution until it gets into the napple itself.

00:48:03.000 --> 00:48:08.000
Thank you for hearing. Thank you. One clarification. Casper is lis.

00:48:08.000 --> 00:48:10.000
Here stands for laser induced fluorescence.

00:48:10.000 --> 00:48:16.000
Not lithium fluoride they're using. But L, I F.

00:48:16.000 --> 00:48:23.000
Here stands for laser induced fluorescence, not lithium fluoride.

00:48:23.000 --> 00:48:27.000
I didn't realize that. Thank you.

00:48:27.000 --> 00:48:30.000
Alright. I think we have a question in the back corner.

00:48:30.000 --> 00:48:42.000
That's Bruce Lee. Crop had a question when you did your course samples because you had a gradient of the natural attenuation, and you had more chlorine compounds down low at a lower depth.

00:48:42.000 --> 00:48:45.000
Did you test for or identify the bacteria types?

00:48:45.000 --> 00:48:54.000
And were they different at different levels? We did. The bacteria essentials were taken out of standard screen monitoring wells.

00:48:54.000 --> 00:48:58.000
There is obviously shallow screens and.

00:48:58.000 --> 00:49:05.000
There are count differences. Of course they were rigorous census analysis.

00:49:05.000 --> 00:49:10.000
They were looking for the the genes, the various gene structures.

00:49:10.000 --> 00:49:13.000
We've never looked at it from a depth perspective.

00:49:13.000 --> 00:49:36.000
There was definitely an account difference, but not necessarily the population. We didn't look forward because the breakout of the chlorines from ligno lettic ones will vary based on oxygen access as you go down and you didn't capture any of that most of the bacteria can be done on this

00:49:36.000 --> 00:49:38.000
downgrade, barriers. So there's a series of 5 barriers downgrading.

00:49:38.000 --> 00:49:44.000
So it's to try and control. Is all included as's flown away from it.

00:49:44.000 --> 00:49:51.000
And that's where we spend most of our best. But again, even there, we haven't really looked at it from a vertical.

00:49:51.000 --> 00:49:58.000
So we did easy enough for us to go back and look at the data, and we still actively clot bacteria counts.

00:49:58.000 --> 00:50:00.000
So it would be easy enough for us to go back.

00:50:00.000 --> 00:50:08.000
Thank you. Alright. I see a question in the room, so go ahead, Sir Michael Mark. Steve.

00:50:08.000 --> 00:50:19.000
A nice nice presentation. Want to understand the thinking here? I, of course I'm the remedial guy here, and you're going with thermal remediation.

00:50:19.000 --> 00:50:26.000
Was there a 55 feet? Is not all that deep? And you got a lot of crowd on the site was was yellow iron ever even considered?

00:50:26.000 --> 00:50:35.000
It was, but it came down to. It was characteristic, hazardous weight and that was Google called for that Covid.

00:50:35.000 --> 00:50:40.000
Yeah, thank you. Exponentially off. Yeah. Oh, sorry. Yeah.

00:50:40.000 --> 00:50:44.000
So. No, it was the the cost of the disposal.

00:50:44.000 --> 00:50:50.000
You'll laugh, Mark. We have another site that's down the hill from this one where we are actually digging it.

00:50:50.000 --> 00:50:58.000
But we're treating it on site within the footprint of the Aoc, so that it's not considered hazardous waste.

00:50:58.000 --> 00:50:59.000
But then we're going to put it right back in the hole.

00:50:59.000 --> 00:51:21.000
Once we're done treating alright good. Yep, I think to add to that, as a slide of the contamination is actually in the saturated zone which makes Xavier less, were more difficult to do.

00:51:21.000 --> 00:51:24.000
But from a cost perspective. The thermal is much more cost effective.

00:51:24.000 --> 00:51:31.000
It's probably half the cost of the next excavation job.

00:51:31.000 --> 00:51:42.000
I also have an online question. And that was regarding the software, what software did you use to create those threed models?

00:51:42.000 --> 00:51:50.000
Evs. But environmental visualization, software.
