Advanced Geophysical Classification Projects September 13, 2016 1 - - PowerPoint PPT Presentation

Advanced Geophysical Classification Projects

September 13, 2016

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Advanced Geophysical Classification

• Advanced EMI sensors utilize multiple transmitter and receiver coils to acquire data from numerous angles

and positions

• Rich dataset can be inverted to extract intrinsic features of anomaly sources
• Intrinsic features of anomaly sources (such as mass, shape, and wall thickness) are not influenced by burial

depth or orientation

• Intrinsic features (polarizability curves) can be compared to a library of known signatures to classify the

anomaly sources as targets of interest (TOI) or non‐TOI prior to intrusive investigation

• Result: The ability to identify subsurface anomaly sources that have a low likelihood of being MEC and can

therefore be safely left in the ground

• Current technologies require a two‐step survey process:
• Dynamic detection survey to identify subsurface anomalies
• Cued (static) data acquisition to acquire the robust data required for classification
• AGC is not always the best option, but it is another tool in the toolbox

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Unit 23 Risk Reduction

• Risk reduction activity objective:
• To reduce the risk identified by USACE Safety to prescribed burn personnel due to potential existence
• f 155mm projectiles (or larger MEC items) in the shallow subsurface
• Detected anomalies meeting the amplitude response characteristics of 155mm projectile (or

larger MEC items) will be investigated with cued MetalMapper survey

• Down to 2 feet in the outer region to protect burn personnel around perimeter
• Down to 1 foot in the inner region to protect burn personnel in helicopters above the burn
• High‐confidence non‐TOI anomalies will be left in the ground
• Anticipate cued MetalMapper investigation of approximately 3,500 anomalies
• Anticipate subsurface removal of approximately 500 TOI

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Unit 23 Risk Reduction

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Broadway Bypass Subsurface MEC Removal

• Fuel break subsurface MEC remediation of Broadway Bypass
• Rerouting of fuel break crosses area of high density subsurface anomalies (based on EM61 survey)
• AGC processes will be used to conduct MEC removal to depth
• Dynamic MetalMapper detection DGM
• Detect subsurface anomalies potentially related to MEC
• Static MetalMapper classification DGM
• Classify detected anomalies as either TOI or non‐TOI
• Intrusively investigate and remove TOI

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Broadway Bypass Subsurface MEC Removal

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Munitions with Sensitive Fuzes Field Study

• Field Study Objective:
• Determine the most cost‐effective MEC detection and remediation method for areas with high

anomaly density and evidence of MEC with sensitive fuzes

• 11‐acre field study area
• Within Range 48, where a variety of MEC types were previously removed, including small munitions

with sensitive fuzes

• Wide range of anomaly densities (but all high)
• Two DGM systems
• Demonstrate OPTEMA dynamic detection/classification survey
• Compare to standard EM61 detection survey
• Intrusive investigation of 3,000 targets

(both EM61 and OPTEMA)

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Munitions with Sensitive Fuzes Field Study

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