1. 1 of 41 Field Analytical Methods Presenter: Sebastian Tindall DQO Training Course Day 3 Module 22 (15 minutes) (15 minute 2 nd Afternoon Break)

2. 2 of 41 Surface & Subsurface Imaging using DPT Rigs, Sensor Technology and Onsite Analysis Tools Direct Sensing Technology A fundamentally better approach for mapping the surface & subsurface For Brownfields, Property Transfers, NPL sites Copyright and Patents Pending: Columbia Technologies, 2002  2002 Columbia Technologies

3. 3 of 41 The Problem Heterogeneity is the norm Most investigations are not defensible –Too few samples –Samples are not representative Sampling error supercedes/exceeds lab error Most clean-up efforts fail A much larger number of data points are required to reduce uncertainty.  2002 Columbia Technologies

4. 4 of 41 Managing Uncertainty Managing Uncertainty Approach –Systematic Planning –Real Time Measurements –Dynamic Work Plans The 7-Step Data Quality Objective Process  2002 Columbia Technologies

5. 5 of 41 SmartData Solutions TM A comprehensive approach integrating recent advances in: Sensor technology Rapid computational analysis Interactive 3D web-casts  2002 Columbia Technologies

6. 6 of 41 SmartData Solutions TM We can now quickly and reliably: Provide comprehensive images of the subsurface. Manage uncertainty and assess risk. Avoid downstream failures and costs. Monitor remediation performance. Obtain more cost-effective closure.  2002 Columbia Technologies

7. 7 of 41 SmartData Solutions TM SmartData - A continuous stream of chemical and physical data, available in a geo-referenced, digital and user-friendly format. Use it for the 3D imaging of subsurface sources, pathways, soil types remediation effectiveness Integration with other site data, such as: Constituent-specific data from discrete/composite samples Physical features from surface and subsurface  2002 Columbia Technologies

8. 8 of 41 Advantages of SmartData? Large amounts of geo-referenced, digital data that can be rapidly reviewed, processed, posted and displayed for real time analysis and decision making. Data that is easily correlated and cross- checked with other data.  2002 Columbia Technologies

9. 9 of 41 Types of SmartData The MIP/EC Probe for Fuels and Solvents –Membrane Interface Probe/Electrical Conductivity –MIP/CPT LIF/UVIF – SCAPS/ROST/FFD for Fuels –Laser Induced or UV Fluorescence +/- MIP –LIF/CPT Range of Emerging Tools  2002 Columbia Technologies

10. 10 of 41 Membrane Interface and Conductivity Probe For detecting LNAPL, DNAPL,dissolved phase and gas phase VOCs. For locating sources and plumes in vadose and saturated zones, in sands and clays. For locating hydrologic and geologic units. For assessing risk of mass transport. For monitoring treatment effectiveness  2002 Columbia Technologies

11. 11 of 41 3D Image of Solvent Spill Produced from MIP Profiles  2002 Columbia Technologies

12. 12 of 41 MIP Downhole Probe  2002 Columbia Technologies

13. 13 of 41 Direct Sensing MIP/EC  2002 Columbia Technologies

14. 14 of 41 Multiple Platforms Direct push rigs CPT units Drill rigs Waterborne All-terrain track Indoor – limited access  2002 Columbia Technologies

15. 15 of 41 Cycle Time = Months Historical Process CoreLab Data Gaps MapReportsSampleShip Subcontractors E/C Firms Regulators  2002 Columbia Technologies

16. 16 of 41 The Data Problem Where are you going to sample? How many samples are you going to take? Can you get a representative sample?  2002 Columbia Technologies

17. 17 of 41 SmartData Solutions TM Sensor s Advanced Analytics Internet Delivery Cycle Time = Hours  2002 Columbia Technologies

18. 18 of 41 Smart Sensors Continuous profile of subsurface = NO VERTICAL DATA GAPS High data density FAST = Real time information Combines chemical and geological information Reproducible in all soil and groundwater matrices  2002 Columbia Technologies

19. 19 of 41 Deployable Sensor Systems Dakota TechnologiesChlorinated Solvents DNAPL Source Areas Haloprobe MultiplePOL hydrocarbons Chlorinated solvents Methane All phases – 200 ppb Membrane Interface Probe Dakota TechnologiesCoal tars, creosotes, crudeTarGOST Vertek supplier Dakota Technologies POL Hydrocarbons No chlorinateds No dissolved phase 100 PPM Fuel Fluorescence Detector (FFD) Hyperlogger SCAPS (Army, Navy) ROST (Fugro Geosciences) Dakota Technologies POL Hydrocarbons No chlorinateds No dissolved phase 10 PPM Laser Induced Fluorescence (LIF) ProviderTargetSensors  2002 Columbia Technologies

20. 20 of 41 Multiple Detector Response Conductivity FID Detector PID Detector ECD Detector Speed Temperature  2002 Columbia Technologies

21. 21 of 41 MIP – GC/MS Correlation Base of Monitoring Well Above Contaminant Strong Correlation to GW Sampling and On-Site Analysis  2002 Columbia Technologies

22. 22 of 41 Making Data Smart Smart DataBase (Patent Pending) Smart Database QA/QC Error trapping Data normalization Site and contaminant comparison Formatting and visualization Customer Web Interface Web Cast Report Deliverables  2002 Columbia Technologies

23. 23 of 41 Multiple 3D Site Views Comparison of GW Samples to Continuous Sensor Profile 3D Video of Plume vs. GW Wells  2002 Columbia Technologies

24. 24 of 41 SmartData Solutions TM Investigation Strategy Use MIP/EC to obtain detailed logs of site. Generate comprehensive 3-D image. Then select “more fully representative” discrete samples for analysis. Make decisions, focus monitoring/treatment and close sites, based on the “whole picture”.  2002 Columbia Technologies

25. 25 of 41 SmartData Solutions TM Site Assessment Benefits Fewer but better sample and monitoring well locations. Stop endless investigations! Prevent/limit the big problem sites.  2002 Columbia Technologies

26. 26 of 41 3D Image - Plan View  2002 Columbia Technologies

27. 27 of 41 Minimum MIP-PID Response Note the plume appears unbounded at these locations  2002 Columbia Technologies

28. 28 of 41 Same Site - plume based on limited lab results DPT Sample Results Color indicates BTEX concentration in ug/L BTEX plume based on DPT results – less resolution  2002 Columbia Technologies

29. 29 of 41 SmartData Solutions TM Risk Assessment Calculate contaminant mass per hydrogeologic unit Determine mass available for migration Determine risk from available mass Assess monitoring options vs remedial options per hydrogeologic unit  2002 Columbia Technologies

30. 30 of 41 SmartData Solutions TM Risk Assessment Benefits Provide adequate basis for RBCA. Reduce Regulator’s uncertainty. Increase confidence in fate and transport modeling with more data density.  2002 Columbia Technologies

31. 31 of 41 SmartData Solutions TM Remediation Strategy Use detailed MIP and EC data to assess risk and, if needed, to focus treatment. Clearly differentiate available mass. Target units with available mass. Monitor treatment effectiveness with second MIP survey.  2002 Columbia Technologies

32. 32 of 41 Available Mass Assessment  2002 Columbia Technologies

33. 33 of 41 Feasibility Assessment Benefits Understand location of chemicals relative to geology. Understand pathways and treatment potential. Treat only if rational. Focus each treatment.  2002 Columbia Technologies

34. 34 of 41 Natural Degradation of Petroleum  2002 Columbia Technologies

35. 35 of 41 Benefits from using SmartData Solutions TM More complete source characterization than traditional phased approach. Better source and plume delineation in relationship to stratigraphy = more realistic, effective, and targeted remediation. Net Result: –More realistic planning –Quicker assessments and cleanups –Lower overall project cost  2002 Columbia Technologies

36. 36 of 41 How does SmartData Solutions TM lower costs? Reduces time on site and need for revisits. Reduces need/# of lab samples. Reduces need/# of monitoring wells. Expedites reporting. Provides better documentation for Monitored Natural Attenuation, Technical Impracticability or RCRA based closures.  2002 Columbia Technologies

37. 37 of 41 Summary SmartData Solutions TM Lowers Costs and Increases Success in: –Source area and plume characterization –Migration pathway delineation –Remediation effectiveness –Performance monitoring –Verification sampling With higher resolution data, presented as a comprehensive 3D image of the subsurface, while the teams are still in the field.  2002 Columbia Technologies

38. 38 of 41 Case Studies http://www.columbiadata.com/coltech/aol_gmail.cfm?id=31  2002 Columbia Technologies

39. 39 of 41 J. Edward “Ned” Tillman, Columbia Technologies 1450 So Rolling Rd Baltimore, MD 21227 410-536-9911 410-536-0222 (Fax) ntillman@columbiadata.com http://www.columbiadata.com For further information:

40. 40 of 41 Field Analytical Methods Web Sites:  http://fate.clu-in.org/  http://www.frtr.gov/site/

41. 41 of 41 End of Module 22 Thank you Questions? We will now take our second 15 minute afternoon break. Please be back in 15 minutes.