© 2011 columbia technologies. use of mihpt systems to improve project outcomes rapid, real-time...

© 2011 COLUMBIA Technologies.

Use of MiHpt Systems to Improve Project Outcomes

Rapid, Real-Time High Resolution Site Characterization

© 2013 COLUMBIA Technologies.

© 2011 COLUMBIA Technologies. 2

Presentation Outline

• Basic Mechanics of the MiHpt and LLMiHpt• Interpretation of MiHpt and LLMiHpt data• Project Examples–Mixed VOCs, Gasoline, and TCE• Investigation Design• Collaborative Data Sets• Future Field Test of VOC Speciation

© 2011 COLUMBIA Technologies. 3

MiHpt Diagram

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© 2011 COLUMBIA Technologies.

Depth Detector

MiHpt Transfer

Line

Drill Rods

Electrical Generator

(self sufficient)

Ultra Pure Compressed Gases

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© 2011 COLUMBIA Technologies.

Membrane Interface Probe (MIP)Quick Notes:- Volatile Organic Compounds (VOCs), 60 measurements/foot- Vapor, Dissolved Phase, Sorbed Phase,

some NAPL- Typical DL: 1 ppm fuel / 200 ppb solvent

(can be lower with special procedures)

- Low Level DL: 1 to 50 ppb VOCs , 3 measurement/foot

6

© 2011 COLUMBIA Technologies.

Sample HPT Log

Hydraulic Profiling Tool (HPT)

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Quick Notes:- Water injected at approx . 100 ml/min- 20 measurements per foot, flow rate, pressure and EC -Dissipation test to determine head of water over probe.-Pressure and flow measurements collected from below the groundwater surface can be converted to approximations of K .

© 2011 COLUMBIA Technologies. . 8

HPT Log X-section – EC and Pressure

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Gasoline Plume and PCE Plume Separation

Gasoline migration at shallower depth vs deeper PCE, both in thin layers of higher permeability as defined by HPT data

PCE Plume defined by XSD

Gasoline Plume defined by PID

© 2011 COLUMBIA Technologies. 10

LLMiHpt Log

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Project Examples

• MIP/EC Data – Mixed CVOC Plume – Australia• MiHpt Data – Gasoline Plume - US• MIP/EC, MiHpt, and LLMiHpt – TCE Plume - US

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MIP Project Example

• Provide Example to AU Regulators of HRSC.• Focus Remediation Efforts for Property

Redevelopment.

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Layout of SC/MIP soundings on the Project Site

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X-section through soil electrical conductivity (EC) data (EC data shows alluvium of interbedded silts and sands, silts-yellow

shading sand-green and blue)

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Plan-view through MIP XSD Data

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X-Section through MIP XSD Data

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Plain-View through FID (flame ionisation detector) Data at a depth of 3 metres

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X-section through FID (flame ionisation detector) data

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MIP XSD Volume Calculations

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MiHpt Gasoline Example

• Provide evidence of separate gasoline plumes.

• Regulators attempting to assign remediation costs.

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MIP PID 0 to 2 feet

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MIP PID 0 to 6 feet

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MIP PID 0 to 12 feet

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MIP PID 22 to 28 feet

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Benzene in groundwater map

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MiHpt PID/Pressure X-sections through the gasoline plume

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MIP/EC, MiHpt and LLMiHpt Example

• Define lateral and vertical distribution of TCE to determine if vapor is impacting potential receptors.

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X-section MIP/EC, MiHpt, LLMiHpt

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Investigation Design

• Business Goals.• Detailed Conceptual Site Model.• Anchor Points – Existing Wells or Borings.• Source areas. • Property boundaries. • Define exposure to receptors.• Grid approach for pre-defined remediation

areas.

© 2011 COLUMBIA Technologies. . 31

Collaborative Data Sets

• Soil, Groundwater, Soil Vapor Analytical, • Lithology, • Geochemistry, • Permeability to water, • LNAPL Transmissivity, • ISCO Radius of Influence

© 2011 COLUMBIA Technologies.32

In-well baffle device/Mixing inhibitor

Britt, SL and Calabria M, 2008, Baffles may allow effecting multilevel monitoring in traditional monitoring wells, Battelle Chlorcon Conference, Monterey California, May 2008

Snap Sampler – ProHydro Inc.

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MIP Data Used in Well Design

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Draft of Converting MiHpt data to Mass Flux

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Mass transport zones< 10% of area

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Future Field Test of VOC Speciation

• Mobile GC analysis of MIP Gas Stream• Speciation of a Target List of VOCs• Analytical Results on 7 minute Intervals

© 2011 COLUMBIA Technologies.

www.defiant-tech.com

1/16” SwageLok

PCE

TCE

Cis-

1,2-

DCE

tran

s-1,

2-D

CE

FROG-4000

Detect VOCs in air down to 0.5ppbv.

Sampling Sub-slab port in Indianapolis

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One More Final Thought

It is far better to be approximately correct with a huge data set than precisely wrong with a limited data set.

Thank You!

Questions?

www.columbiatechnologies.com

© 2013 COLUMBIA Technologies.