Two of our High-Resolution Site Characterization (HRSC) Data Visualization posters featured at the 2018 NTC Conference in Louisville, KY. 1. Using Data Management and 3-Dimensional Data Visualization to Generate More Complete Conceptual Site Models and Streamline Site Closure 2. High-Resolution Site Characterization (HRSC) and 3-Dimensional Data Visualization for a Fractured Rock Site: A Path to Streamlined Closure

1. Using Data Management and 3-Dimensional Data Visualization to
Generate More Complete Conceptual Site Models and Streamline Site Closure
AUTHORS: JOSHUA ORRIS, ANTEA GROUP AND JASON RUF, S2C2 INC.
Managing data and developing an accurate Conceptual Site Model (CSM) are critical challenges for complex
environmental sites. Leveraging innovation through technology supports improvements in the development of
more accurate and complete CSMs that are focused on
tailoring the management of a client’s environmental
liability to their unique business needs.
Technical Management Challenges:
 Complex data sets over several years.
 Complex environmental systems.
 Varied site investigation methods.
 Performance inconsistency.
 Stakeholder engagement.
 Receptors & third-party potential impacts.
 Varied regulatory requirements for cleanup: numeric vs risk-based.
INTRODUCTION 3D CONCEPTUAL SITE MODELS AS A BEST-MANAGEMENT PRACTICE CASE STUDIES
CASE STUDY 1: 1.6-acre Former Manufacturing Facility—Tampa, FL
 1992 – Original release date.
 Remediation strategies:
 $1.0 MM lifecycle cost-to-date.
 IRM GW pump & treat.
 Injection of ZVI/EVO.
 GW monitoring was $50k @ 30-year lifecycle.
 2015 Project Transition:
 Implemented 3DVA, data management and CSM development.
 HRSC MIP program was scoped but was deferred after 3DVA was completed.
 2017 obtained FDEP Closure NFA.
 $100K 2-year lifecycle.
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TRADITIONAL WORKFLOW—
NOT A COMPREHENSIVE CSM
Goal: Build all Relevant Site Knowledge into the CSM
us.anteagroup.com
Provides a standardized solution process for the management and
consistent representation of complex data sets leading to cost
reductions of environmental liabilities in support of facilitating more
informed business decisions.
Technical Data Tool for Data Analysis:
 Evaluate complex data sets.
 Evaluate chemical data in relationship to geologic data.
 Evaluate data gaps—statistically and visually.
 Assist in the design of more targeted investigations.
 Calculate mass and volume estimates for varying degrees of
confidence.
 Evaluate potential remedial design options.
 Evaluate data sets over time: predictive model (simulations).
A Tool to Communicate Data Sets to All Stakeholders:
 Assists technical team present information to non-technical
stakeholders.
 Global cultural barriers minimized by technology—data
visualization.
 Facilitates collaborative discussions with regulators.
 Helps ownership team gain a better understanding of
environmental drivers and risks.
A Tool to Reduce Lifecycle Costs ($$):
 Validation of strategies & investments for stakeholder influence.
 Enhanced corporate reserve cost modeling.
 Can assist with risk-based assessments and evaluate remedial
design based prioritized to sensitive receptors.
CASE STUDY 2: 12-acre Former Manufacturing Facility—Sorocaba, Brazil
 2003—Original release date.
 Remediation strategy—Biostimulation system.
 GW monitoring $200k annual @ 30-year lifecycle.
 $2.0 MM lifecycle cost through 2011.
 Project transition 2011:
 Implemented 3D Data Visualization and CSM Development.
 $50k – 3DVA/data management.
 $60k annual GW monitoring.
 2 new source areas identified:
 Hot melt sump.
 Wastewater treatment plant (WWTP).
 Targeted remediation strategies implemented (2012 & 2014):
 Chemical soil mixing.
 Source area excavation.
 Hot melt sump.
 WWTP—demolition.
 Permeable reactive barrier design & installation.
 2017 site reached regulatory commercial closure levels.
 $800k spent 2011-2017.
DATA VISUALIZATION IS THE CENTRAL COMMUNICATION AND TECHNICAL ANALYSIS TOOL
FIELD DATA COLLECTION TO 3D VISUALIZATION
CORPORATE RESERVE COST MODELING BASED ON 3D CSM
HRSC MiHPT DATA ANALYSIS
OFF-SITE RECEPTOR EVALUATION AND RISK EVALUATION
REMEDIATION DESIGN AND EVALUATION
y = -0.0002x + 5.0412
R² = 0.0555
y = -0.0002x + 6.2259
R² = 0.0454
y = -0.0018x + 1.7613
R² = 0.2613
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0
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ln(Concentration)
Cumulative Days
Carbon Tetrachloride - South Plume
Average Concentration Maximum Concentration Mass Decay
Linear (Average Concentration) Linear (Maximum Concentration) Linear (Mass Decay)
May-05 Oct-06 Feb-08 Jul-09 Nov-10 Apr-12 Aug-13 Dec-14 May-16 Sep-17 Feb-19
0
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Concentration(Ug/L)
CarbonTetrachlorideMass(kg)
Date
Carbon Tetrachloride - South Plume
Mass Average Concentration Maximum Concentrations
TIME SERIES AND DECAY ANALYSIS—
MASS, CONCENTRATION (AVERAGE & MAXIMUM)
BUILDING THE CONCEPTUAL SITE MODEL2
 Effective remedy selection, engineering design.
 Performance monitoring.
 Innovative investigation methods:
Direct sampling.
Mobile laboratories.
 Real estate—current & future land use.
 Source area evaluation.
 Contaminant distribution.
 Receptors.
 Regulatory drivers.
 Site investigation.
 Geology/hydrogeology.
https://www.youtube.com/watch?v=QTaBqIeNPPY&feature=youtu.be
Click the QR Code or the Weblink to View 3D Data Visualization
Click the QR Code or the Weblink to View 3D Data Visualization
https://www.youtube.com/watch?v=ali4LT2Sz2w&feature=youtu.be

2. High-Resolution Site Characterization (HRSC) and Three-Dimensional Data
Visualization for a Fractured Rock Site: A Path to Streamlined Closure
AUTHORS: JOSHUA ORRIS, ANTEA GROUP AND JASON RUF, S2C2 INC.
Typical Challenges:
 Traditional investigation and data collection methodologies = inadequate data density to overcome site
heterogeneity.
 Lack of data density, coupled with data quality issues, and repeated investigations during initial stages of a
site’s lifecycle resulted in an inaccurate Conceptual Site Model (CSM).
Case Study:
Former specialty chemical manufacturing facility
located in Edison, New Jersey with active
investigations and remediation from late 1990’s. An
Interim Remedial Measure (IRM), groundwater
recovery and treatment system was operational from
2001 to 2006.
Primary Contaminants of Concern:
Chlorinated volatile organic compounds (CVOCs);
1,1,1–trichloroethane (TCA), trichloroethylene (TCE)
and their respective degradation products.
INTRODUCTION APPROACH RESULTS AND CONCLUSIONS
Leveraging Technology — HRSC & Geophysical data in bedrock, MIP data in overburden and historical groundwater data as inputs to a
comprehensive 3D CSM created value by more targeted investigations, successfully designed and reduced number of injection wells, pilot
studies, pneumatic injection delivery designs and more precise full-scale remediation implementations. HRSC and development of a 3D
CSM enabled a “Best-In-Class” solution for enhancing insights into the fractured bedrock environment, refined targeted remediation
strategy implementation and performance monitoring that facilitated a reduced lifecycle and cost savings.
 Enabled shutdown (2006) of pump and treat system:
 ANNUAL COST SAVINGS: $180,000, with savings-to-date of ~$2.16M.
 3D CSM and HRSC data allowed for more targeted injection design & implementation performance:
 ESTIMATED COST SAVINGS: $300,000.
 Enabled a more streamlined regulatory process and transition to MNA strategy with annual groundwater monitoring:
 ESTIMATED COST SAVINGS: $100,000 from monitoring reduction.
 ESTIMATED REDUCTION IN LIFE CYCLE: 10+ years.
1 2 3
Evaluation of Mass and Chemical Concentration Trends
Injection Field Pilot Tests:
 Emulsified vegetable oil (EVO) and zero-valent iron (ZVI).
 Enhanced injection well design.
 Reduced total number of injection wells.
 Enhanced radius of influence with pneumatic fracturing delivery and contaminant mass treatment.
HRSC Investigation and 3-Dimensional Data Visualization CSM update:
 Membrane Interface Probe (MIP) advanced in overburden to evaluate remaining residual sources and
confirm performance of pilot test injections.
 Site data were migrated into an EQuIS database and exported for visualization using C Tech’s Mining
Visualization Software (MVS).
 Created a geologic model of overburden and fractured bedrock from geophysics data, including an
interpreted 3D fracture model.
 3D kriging was completed for TCA and daughter compounds as well as for MIP-XSD detector data.
 The updated 3D CSM with HRSC data identified a shallow source of TCA at a former loading area.
 Contaminant transport pathways and hydro-geologic systems were confirmed — eliminated a hypothesized
second source area.
Additional Remediation and Closure Strategy:
 Excavation of remaining source and placement of EVO/ZVI to accelerate treatment of impacted
groundwater.
 Soil closure was obtained with complete delineation utilizing both HRSC and traditional analytical data
sets— residual soil impacts remedied by engineered and institutional controls.
 Monitored Natural Attenuation (MNA) as groundwater remedy— reduced well network and reduced
monitoring to annual schedule.
MIP-XSD Detector Data and Interpreted Bedrock Fracture Model
Fence of MIP XSD Results and Interpreted Bedrock Fracture Model
Pre-Remediation 1,1,1-trichloroethane Concentrations in Overburden Groundwater (100-Series Wells) and
Bedrock Groundwater (200-Series Wells)
Post-Remediation 1,1,1-trichloroethane Concentrations in Overburden Groundwater (100-Series Wells) and
Bedrock Groundwater (200-Series Wells)
Advancing Membrane Interface Probe
Membrane Interface Probe Log
1,1,1-Trichloroethene in Groundwater, Injection Wells and Soil Excavation
0
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20
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200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
Jun-02 May-04 May-06 May-08 May-10 May-12 May-14
Mass(lbs)
AverageConcentration(ug/L)
1,1,1-Trichloroethane - Overburden
Average Concentration
Maximum Concentration
Chemical Mass
Linear (Average Concentration)
Linear (Maximum Concentration)
Linear (Chemical Mass)
-100
-50
0
50
100
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0
10,000
20,000
30,000
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Jun-02 May-04 May-06 May-08 May-10 May-12 May-14
Mass(lbs)
Concentration(ug/L)
1,1,1-Trichloroethane- Rock
Average Concentration
Maximum Concentration
Chemical Mass
Linear (Average Concentration)
Linear (Maximum Concentration)
Linear (Chemical Mass)
Compound
Overburden
(Mass Reduction)
1,1,1-Trichloroethane 84%
1,1-Dichloroethene 85%
Chloroethane 29%
Compound
Rock
(Mass Reduction)
1,1,1-Trichloroethane 99.8%
1,1-Dichloroethene 99.6%
Chloroethane 35%
Excavation of Source Material
Geology:
 0-1 ft bgs. Fill
 1-6 ft bgs. Weathered Brunswick Shale
 >6 ft bgs. Brunswick Shale
Hydrogeology:
 Perched Groundwater above Bedrock
 Fractured Bedrock Flow
us.anteagroup.com
Click the QR Code or the Weblink to View 3D Data Visualization
https://www.youtube.com/watch?v=DTrB_R6zAEU&feature=youtu.be
Injection Array and Manifold