A presentation given to Michigan Association of Environmental Professionals last spring. Heavy focus on heterogeneity and difficulty of determining NAPL with monitoring wells and traditional analytical chemistry of dissolved phase.
TCSPC( Time-Correlated Single -Photon Counting) By Halavath Ramesh
Optical Screening Tools For Characterizing NAPL Source Zones
1. Optical Screening Tools for Characterizing NAPL Source Zones Randy St. Germain Dakota Technologies, Inc.
2.
3.
4.
5.
6. Dakota Technologies’ LIF History Optical Screening Tools (and yours truly) have existed for > 15 yrs
7. Today’s Optical Screening Tools Soil Color TarGOST – Tar-specific Green Optical Screening Tool UVOST - Ultra-Violet Optical Screening Tool ROST - Rapid Optical Screening Tool FFD – Fuel Fluorescence Detector NA Model fuels/oils (poor jet fuel response) nitrogen laser-337 nm OMA detector CPT only SCAPS (Army/Navy/AF) gov’t use coal tars/creosotes containing moderate to heavy PAH Nd:YAG laser - 532nm spectral/temporal Percussion & CPT Dakota Dakota exclusively Munsell soil color, soil class, ??? broadband white light reflectance Percussion & CPT Dakota mfct’d offered by Dakota and available to providers fuels/oils containing low to moderate PAH XeCl laser - 308nm spectral/temporal Percussion & CPT Dakota offered by numerous field service providers fuels/oils containing low to moderate PAH dye laser - 290nm spectral/temporal hybrid CPT only Dakota Fugro exclusively fuels/oils containing low to moderate PAH CW Hg Lamp - 254.7 nm PMT CPT only Vertek mfct’d offered by numerous field service providers Target Technology / Deployment Manufacturer / Providers
8.
9. real time “NAPL hunt” Real-Time In-Situ Characterization Detailed Conceptual Model higher quality information for higher quality engineering/decisions Optical Screening Tools
10. Fluorescence Spectroscopy of Optical Screening Tools (the “mysterious magic” behind the technology) spectroscopy = the study the interaction between light and matter fancy quantum level physics rule the behavior molecules first absorb light – then might rid themselves of that energy by emitting light aromatic (ring-shaped) molecules excel at this especially poly cyclic aromatic hydrocarbons (PAHs) For details - see Joseph R. Lakowicz’ “ Principles of Fluorescence Spectroscopy ”, 3 rd Edition
12. PAH Properties fuels/oils are “soups” made up of various PAHs “PAH-16” lab analysis only analyzes for 40% of coal tar PAHs and 1% of petroleum PAHs! for instance – look what you get if you analyze just for naphthalene 31 1.4 2.8 Triphenylene 196 2.2 6.9 Chrysene 90 1.2 2.3 Benz[a]anthracene 23 41 4.5 Pyrene 240 37 2.9 Fluoranthene 828 7677 89 2-Methylphenanthrene 43 173 - 1-Methylphenanthrene 482 429 26 Phenanthrene 2400 3600 <100 Fluorenes 8800 18400 1900 Trimethylnaphthalenes 12300 31100 2000 Dimethylnaphthalenes 4700 18900 700 2-Methylnaphthalene 2800 8200 500 1-Methylnaphthalene 1000 4000 400 Naphthalene Bunker C residual oil (µg/g) No. 2 fuel oil (µg/g) Kuwait Crude (µg/g) Compound PAH concentrations in a crude oil and two distillate fuel oils (From Neff, 1979)
13. PAHs prefer NAPL that’s why they call it “source term” 1.3 x 10-5 164 0.00053 6.4 276 2 indeno[1,2,3-cd]pyrene (193-39-5) 2.8 x 10-9 217 0.0043 6.06 252.32 2 benzo[k]fluoranthene (207-08-9) 166 252.32 2 benzo[j]fluoranthene (205-82-3) 0.13 x 10-5 to 0.133 at 20°C 168 0.014 6.06 252.32 2 benzo[b]fluoranthene (205-99-2) 0.37 x 10-6 179 0.0038 6.0 252.32 1,2 benz[a]pyrene (50-32-8) 14.7 x 10-3 162 0.0057 5.6 228 1 benz[a]anthracene (56-66-3) 1328 111 0.26 5.1 202.26 1 fluoranthene (206-44-0) 91.3 x 10-6 156 0.135 4.9 202.26 1 pyrene (129-00-0) 25 216 0.045 4.5 178.24 1 anthracene (120-12-7) 90.7 101 1.29 4.5 178.24 1 phenanthrene (85-01-8) 94.7 116.5 1.98 4.18 166 1 fluorene (86-73-7) 594 95 3.42 4.33 154.21 1 acenaphthene (83-32-9) 11 960 80.5 31.7 3.5 128.16 1 naphthalene (91-20-3) Vapor pressure at 25 °C (mPa) Melting point (°C) Water solubility at 25°C (mg/L) log Kow Molecular weight Compound (C.A.S.N°)
14. fortunately all PAH NAPLs fluoresce PAH fluorescence is a way to detect them by their “glow” short UV long UV kerosene gasoline diesel oil
15. Laser-Induced Fluorescence (LIF) it’s the poly-cyclic aromatic hydrocarbons (PAHs) found in all petroleum, oils, lubricants (POLs) that are responsible for their innate fluorescence emission spectrum is unique for each PAH – does not change with excitation wavelength
16. Laser-Induced Fluorescence (LIF) Concepts in fuels there is a mix of many PAHs their spectra overlap and you lose ability to identify any one PAH – just classes at best emission spectrum is still unique for each PAH BUT… the effect of different excitation spectra for each PAH DOES cause a change in overall emission spectrum
18. Laser-Induced Fluorescence (LIF) Concepts there is a 3 rd dimension to fluorescence that most people don’t know (or care) about it involves time over which a population of excited PAHs fluoresce
19. Laser-Induced Fluorescence (LIF) Concepts each mix of PAHs (along with the aliphatic solvent, oxygen concentration, matrix, etc.) yield a fairly unique wavelength/time matrix or “WTM” all “classes” of fuels/oils have a characteristic WTM
20. Laser-Induced Fluorescence (LIF) Concepts WTMS are powerful – but they couldn’t be obtained “on the move” and folks wanted them every foot or so (back in ROST’s early days – mid 90’s) so we were forced to get “clever” and design a solution… time delayed fluorescence “channels” solve this
21. Laser-Induced Fluorescence (LIF) Concepts with time delay you combine spectral (wavelength/color) and temporal (lifetime) fluorescence info that’s being emitted by the NAPL for fast simultaneous quantitative and qualitative information – a multi-wavelength waveform is “tough to beat”
26. The Basics of Optical Screening Tool and Direct Push
27.
28.
29. UVOST response to various common PAH-containing NAPLs these logs demonstrate quantitative and qualitative response note the variable waveform shapes and varying intensity (%RE on x-scale) (similar to how a PID has variable response to VOCs)
31. UVOST Response of Various NAPLs note poor response to coal tar, creosote, bunker (bottom 3) due to energy transfer ( too much PAH) TarGOST (discussed later) provides solution to these problematic compounds some bunkers/coal tars/creosotes have no fluorescence at all these three are “exceptional” and do fluoresce somewhat
32. lab study – demonstration of “semi-quantitative” performance of UVOST
36. in-situ vs lab or “homogenized” samples natural heterogeneity often allows “easier” detection of NAPL vs homogenized lab samples so lab-based LODs are typically conservative
37.
38. Example Field UVOST Logs JPGs and .txt files - the OST service “deliverable” MN – Service Station - 2 NAPLS (oil top.... gasoline bottom) MN - bus garage/terminal No. 1 Fuel Oil (kerosene)
39. Example Field UVOST Logs IA – railroad yard diesel WI – plastic plant - plasticizer cut w/diesel fuel previoulsy remediated (dug out) to 10 feet later, free product in a well – LIF shows flawed CSM
45. TarGOST (good) versus… note that recording “maximum” and correlating vs lab is a bad idea integrate the same zone depth as soil sample came from average across this lower NAPL zone is 150% vs 100%
49. UVOST (bad) versus… This also happens all the time with sampling/coring but nobody recognizes/realizes it due to expense/time of doing twins. reaction of young consultant who was “hornswoggled” into using new-fangled UVOST – duplicate is terrible!
52. remember the poor performance of UVOST on “heavies”? here is typical MGP coal tar on UVOST
53. PAHs, Excitation Wavelength, and Energy Transfer 308 – UV – high energy 308 – UV – high energy dilute PAHs (fuels and light oils) strong absorbance by smaller PAHs low chance of energy transfer few neighboring large PAHs strong fluorescence conc’d “close packed” PAHs (tars, creosotes, heavy crude) strong absorbance by smaller PAHs high chance of energy transfer many neighboring large PAHs weak if any fluorescence 532nm – visible - low energy conc’d “close packed” PAHs (tars, creosotes, heavy crude) no absorbance by smaller PAHs direct excitation of large PAHs low chance of energy transfer moderate fluorescence excited state energy “ cloud”
55. Tar-Specific Green Optical Screening Tool (TarGOST ) designed specifically for MGP and Creosote LNAPL and DNAPL visible excitation defeats the energy transfer trap by “skipping over” the absorbance of the excitation source by the smaller PAHs who “love” to absorb UV but then transfer their energy to larger PAHs… which ultimately “quenches” fluorescence basically the visible light zips through smaller PAHs and is only absorbed by the very large PAHs which are much more likely to fluoresce due to lack of suitable “neighbors” to which they can transfer their absorbed energy instead of fluorescing especially effective for “near shore” coal tar in rivers/bays/lake sediments – where drilling is difficult rainbow sheen/blebs often indicate that “something’s amiss”
59. Example TarGOST Field Logs NY – former MGP near river done from a barge in > 20 ft. of water Oregon 150ft – mobile NAPL at 100ft (first 30 ft were in open hole)
60. Example TarGOST Field Logs WI - 2 layers of MGP NAPL separation into LNAPL/DNAPL? CA crude oil TarGOST response >>> than UVOST
64. 3D Visualization of TarGOST Data MGP NAPL pooling on clay feature (ivory color)
65. 3D Visualization of TarGOST Data Superior WI – MGP (now water treatment plant)
66. Potential Sites/NAPLs Compatible with TarGOST no one wants to get ‘burned’ by recommending an innovative technology that fails (snake oil) neither does Dakota want to end up at a site where we don’t deliver what client needs so we typically discuss the site at length, learn what’s needing to be accomplished (drivers) and fully examine all the “what ifs” and only do projects we’re confident in Dakota provides examination of target NAPL samples, samples of potential false positives/negatives (lamp black, pitch, spent lime, wood purifier waste, etc.) at no charge example client sample logs
67.
68.
69.
70.
71.
72.
73.
74. some TarGOST publications Publications R. St. Germain, B. J. Fagan, S. M. Carroll, W. R. Fisher; A Continuous In-situ Dart Profiling System for Characterization MGP Coal Tar and PAH Impacts in Sediments: A Technology Using Laser Induced Fluorescence in Sediments. EPRI, Palo Alto, CA, Alliant Energy, Madison, WI, and Ameren, St. Louis, MO: 2007. 1014749 D. Bessingpas, N. Gensky, R. St. Germain, J. Clock, A. Coleman; Deep Water Sediment Application of the TAR-Specific Green Optical Screening Tool (TarGOST) at a Manufacturing Gas Plant (MGP) Site in New York Proc: EPRI Manufactured Gas Plants 2007 Symposium , (2007). R. St. Germain; New Generation of In-Situ Sensors for Contamination Detection and Characterization. Proc. Groundwater Resources Association Symposium “High Resolution Site Characterization and Monitoring”, (2006) R. St. Germain, S. Adamek and T. Rudolph, “In situ Characterization of NAPL with TarGOST® at MGP Sites, " Land Contamination & Reclamation , 14(2), 573-578(6) (2006). M. B. Okin, S. M. Carroll, W. R. Fisher, and R. W. St. Germain, " Case study: confirmation of TarGOST laser-induced fluorescence DNAPL delineation with soil boring data, " Land Contamination & Reclamation , 14(2), 502-507(6) (2006). C. F. Ferland, R. W. St. Germain, P. Haederle, D. Ostrye, and J. Perlow, "Rapid Delineation of OLM/TLM in Soil using the Tar-Specific Green Optical Screening Tool (TarGOST)," Proc: Natural Gas Technologies II: Ingenuity & Innovation , (2004). R. W. St. Germain, G. D. Gillispie, S. D. Adamek, and T. J. Rudolph, "Rapid MGP Site Characterization with Tar-Specific Green Optical Screening Tool (TarGOST ) ," Proc: EPRI Manufactured Gas Plants 2003 Forum , (2004).
75.
76.
77.
78. Simultaneous EC, Soil Color, and Hammer Rate key feature is EC/Soil Color “ collaboration” a peek at our brand new tools… EC – TarGOST EC- UVOST EC – SCOST Hammer Rate other combinations to come…
81. Thank you! Randy St. Germain, President [email_address] Dakota Technologies, Inc. 2201-A 12th St. N. Fargo, ND 58102 Phone: 701-237-4908 www.dakotatechnologies.com
Editor's Notes
Introduce myself, company, review purpose of talk…. President and co-founder of Dakota Technologies in 1994. Company originally incorporated with the purpose of developing direct sensing OST system. I have, in one way or another, been continuously involved with LIF since 1988.
This is a short period of time – with so much to cover – I hope that I’ve selected the topics of most interest to this particular audience.. anyone with questions or comments is encouraged to contact me and I’ll do my very best to give answers of respond to criticism/advice.
Long tortuous path – I’m not here to complain – just stating facts that answer questions for many of you “old timers” – and to apply some rational for why LIF can be at the same time virtually unknown AND mature and highly effective.
There has been so much confusion, myth, and legend involved due to the Army Corps’ licensing issues, that this slide is presented to help clarify who/what/where/how of today’s OST systems.
optical screening tools cover lots of ground quickly – resulting in high quality CSMs faster than conventional sampling and lab analysis quickly move from point to point – using latest results to guide/optimize the investigation end result is a CSM of higher quality, higher utility, in less time
Fluorescence was a recognized phenomenon long ago… only complication between our application (field characterization) and traditional lab techniques is an opaque matrix and the inconvenience of subsurface delivery vs. cuvettes/vials/bottles in the lab! What makes fluorescence “fun” for humans is that the excitation source is most often “invisible” – making the fluorescence seem “magic” – seems as though fluorescent objects are “plugged in” – they are in a sense – they are plugged into an excitation source.
For site characterization, our target is PAHs – they have the magic ring-shapes that make them very efficient “photon converters”.
It’s important to understand that site NAPLs are basically “cocktails” or “soups” of aliphatics and PAHs – in a wide-ranging variety of concentrations, viscosities, ratios, etc. Here are 3 familiar examples
One key to many LIF principles – and it explains many bits of misinformation - is the PAH’s love of NAPL and RELATIVE “distaste” for water.
Relatively ancient concepts… only complication is matrix and the inconvenience of subsurface delivery vs. cuvettes in the lab!
Relatively modern twist with pulsed sources.. Lifetimes (decay after pulsed excitation). Adds important 3rd dimension for qualitative capablities.
Relatively modern twist with pulsed sources.. Lifetimes (decay after pulsed excitation). Adds important 3rd dimension for qualitative capablities.
Relatively modern twist with pulsed sources.. Lifetimes (decay after pulsed excitation). Adds important 3rd dimension for qualitative capablities.
Patented process of time delay makes fluorescence similar to “fast GC” look.
Colorization based on waveform shape adds final piece to the puzzle for more intuitive results.
Anywhere POL source term needs delineation.. UVOST excels.
Anywhere POL source term needs delineation.. UVOST excels.
I’m obviously not here to sell you a UVOST – but it’s important that you as regulators understand what UVOST is as you’ll see it utilized more and more by consulting engineers to aid in design and decision-making
Main point to the following slides is to show variable quantitative and qualitative response – this is why OSTs are SCREENING Tools LAB LIF is an amazingly accurate and sensitive technology (detects single molecules under correct conditions) – but being forced to analyze 50 feet below the surface in real world on the move you have to live with the variability
again – not going to go over each and every NAPL… just showing the variability of lifetimes, spectra, and total fluorescence intensity
note the “red shifted” poor performers at the bottom – most high-PAH content NAPLs do this – these happen to be “exceptional” in their fluorescence – often much poorer
if one mixes up fuel/oil set of various concentrations and then “logs” their response with a UVOST – this is the result for diesel Left hand log has “autoscaled” waveforms – right hand is fixed scale
kerosene (jet fuel) on the left…. gasoline on the right.
cal curves that result from the logs on previous slides… note that some materials fluoresce as much as 10 x what others do – even more with “heavies”
this is why uphole results are often “weaker” than those achieved downhole or in “homogenized” samples placed on UVOST
describe colorization of logs here….
majority of the time the waveform can be useful for discounting or identifying potential false positives… basically they are most often curiosities – easily identified/confirmed with sampling
high quality CSMs can be generated using 3-5 days worth of OST data
no time to get into the stories behind these – we often don’t even know the full story – we log/visualize – then hand over to engineers/consultants/geologists can be nice “blobs” or highly dispersed with a bit here/there like middle right. there are almost infinite number of ways to cut/slice/parse – highly dependent on driver for investigation, degree of engineering, etc.
Our first technology focus discussion is on TarGOST, which is most often used for sediments due to coal tar nearly always produced near rivers, etc. The cartoon depicts a “typical” scenario – MGP site is suspected of contaminating sediments in nearby river/lake/bay. Sheen is seen on water surface by locals biking/walking along shoreline. Previous borings (or better still – previous LIF) on land can tell us what’s going on at old MGP site – but how did the tar/NAPL get into the sediments? How deep is it? Was it overland flow long ago or is it migrating laterally deep below? What are the prospects for treatment and redevelopment? Previously, the only way to find out is to sample over water or with swamp buggy drill rigs, etc. – sometimes deeply in very unstable/runny materials. Poor recovery, difficult controls, and high analysis cost make it very expensive and typically only a fraction of desired data is generated to keep costs down. NAPL is often found to be associated with very small seams of gravel/sand capable of delivering NAPL a great distance. Traditional approaches have often failed to identify and/or locate these mechanisms or properly define coal tar distributions.
Our second technology focus discussion is on TarGOST, which is most often used for sediments due to coal tar nearly always produced near rivers, etc. The cartoon depicts a “typical” scenario – MGP site is suspected of contaminating sediments in nearby river/lake/bay. Sheen is seen on water surface by locals biking/walking along shoreline. Previous borings (or better still – previous LIF) on land can tell us what’s going on at old MGP site – but how did the tar/NAPL get into the sediments? How deep is it? Was it overland flow long ago or is it migrating laterally deep below? What are the prospects for treatment and redevelopment? Previously, the only way to find out is to sample over water or with swamp buggy drill rigs, etc. – sometimes deeply in very unstable/runny materials. Poor recovery, difficult controls, and high analysis cost make it very expensive and typically only a fraction of desired data is generated to keep costs down. NAPL is often found to be associated with very small seams of gravel/sand capable of delivering NAPL a great distance. Traditional approaches have often failed to identify and/or locate these mechanisms or properly define coal tar distributions.
TarGOST detected 4 impacted zones at a probe located approximately 50 ft west of the site. This was in agreement with the soil boring observations: reddish brown MGP oil was observed in a collocated soil boring. A photo of the reddish brown oil is shown. The fluorescent core photography gives an indication of how the oil has infiltrated sandy seams and small fractures within the silty glacial till.
The ultimate benefit of each TarGOST log is best realized in concert with all the others – in a conceptual site model or transect view. This is easily done since the data is already in dense and organized numerical file format. Combined with GPS or classic survey data and you get “big picture”. Communication with the client or regulators is much easier with pictures like this to refer to. These particular sites were actually on river/lake banks – we are currently graphing first 3D model of a “water job”. The transect at top is “typical” of TarGOST data along riverbanks/shores. Once one gets away from the main site (spill location at 880 feet in this example) we often see a narrowing of the affected zone vertically speaking – often less than 1 foot thick. In top example the tar happened to co-locate with a thin seam of gravel that ran 20-22 ft down. Previous backhoe test pits had just missed it by a foot or so (bucket/hoe just a bit too shallow to reach). Consultant was sure we would only find tar at 860-880 foot area. He was shocked to find that it spanned the entire river bank. Both of these sites took <5 days to investigate and generate highly detailed models of NAPL distribution to 1 inch vertical resolution.
Another common occurrence is the case where DNAPL tars are being “held up” by various geologic features. Here is a site where a clay layer forming an impermeable barrier and consistently holding the tar up and preventing penetration deeper into the subsurface. The only area where TarGOST located tar deeper than clay formation is an area which had been excavated to place a large sump. Vertical exaggerations are used in many of these models to show features – so tar layer often looks thicker than it would if it were at same scale as site.
discuss obvious benefits of combination probes…
Thanks and don’t forget we’re just an email or phone call away to discuss tools, sites, research, commercialization, projects, teaming, etc.