Arctic Sites Phase 1 ESA & Remote Sensing Pilot Project · 2016-01-22 · inspection comfort...
Transcript of Arctic Sites Phase 1 ESA & Remote Sensing Pilot Project · 2016-01-22 · inspection comfort...
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Arctic Sites Phase 1 ESA & Remote Sensing Pilot Project Reagen Stoddart, Imperial Oil & Steve Adam, WorleyParsons
RemTech - October 19th, 2012
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• The Northern legacy
• Extent of exploration
• Site conditions
• Assessment challenges
• Remote sensing potential
• Project overview
• Analysis
• Interpretation
• Conclusions
Outline
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Tuktoyaktuk
Norman Wells
Inuvik
Yellowknife
Area of Historical Northern Exploration
• 80+ years of oil & gas
exploration in Canada’s North
• Legacy sites distributed over 1.5
million km2
• Sites include:
o Exploratory wellsites:
onshore & offshore
o Sumps: typically 1 drilling & 1
camp sump for each wellsite
o Others: staging areas,
camps, quarries, airstrips
Northern Sites
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• Sites decommissioned to
historical regulatory standards
• Sumps capped, major structures
removed post-abandonment
inspection comfort letters
from regulators
• Visual indicators of post-
abandonment sump integrity
failure:
o subsidence, ponding,
potential lateral migration
Site Conditions
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Northern Challenges
• No regulatory closure in North
• Stakeholders expectations not aligned
• Resurgence of Arctic exploration
• Unique characteristics
o remote site access logistics
o delicate permafrost
o re-disturbance issues
o waste disposal is challenging
o substantial cost to execute work
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Remote Monitoring Rationale
• Site assessment not practical (nor required)
• Stakeholders recommend long-term
monitoring
• Need to assess many remote Arctic sites in a
safe, timely & cost-effective manner
• Chose a modified Phase I approach:
traditional file review & remote sensing data
in lieu of individual site visits
• Remote sensing as initial review to categorize
sites and establish risk based management
LiDAR
Thermal Imagery
Orthophotography
Hyperspectral Imagery
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Project Milestones
2008 – Planning
• Site selection
• Consultation
• Permitting
2009 – Field Execution
• Award contract
• Only onshore sites
surveyed
• Data acquired for 77
sites
• Successful after 3 flights
N
Yukon Northwest Territories
Norman Wells
Inuvik
Sites selected during initial project planning
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Project Milestones
2010 – Post-Field Processing
• Collaborated with University of
Victoria scientists
• Data processing, calibration,
rectification
• Developed site attributes
against hyperspectral imagery
• Preliminary interpretation of
processed data
• Compilation of data into Geomatics web portal:
• Access point for all historical files, photos & remote sensing data files
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Project Milestones
2011 – Imagery Comparison
• Collaborated with University of Calgary
• Advanced data interpretation for
identifying Phase I ESA related features
• Compared remote sensing imagery to
high resolution satellite imagery
• multispectral vs. hyperspectral
• Assigned each site a “vulnerability”
rating to develop a prioritized site list
Wellsite #1 - Multispectral satellite
Wellsite #1 – Hyperspectral image
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1. Analyze remote sensing data for information on environmental variables
2. Use Source > Pathway > Receptor model to evaluate potential risk
3. Create a lower and higher priority scheme to categorize sites (i.e. for future
monitoring or remediation purposes)
Project Objectives
Source • Distressed
Vegetation
• Sumps
• Debris
Pathway • Flow lines
• Drainage basins
Receptor • Open water
bodies or wet areas
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N Hyperspectral from Aerial (492 bands)
Multispectral from Satellite (GeoEye 4 band and WorldView 8 band)
Lidar from Aerial (topography)
Thermal from Aerial (emissivity)
Aerial images (high resolution natural color)
Field data
Project Datasets
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Wellsite #1
Ortho-image Vegetation Density Vegetation Vigour
Source #1 – Vegetation Density and Vigor
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Vegetation Density and Vigor
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Hyperspectral WorldView 2
Vegetation Vigor – Hyperspectral vs. Satellite
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Air photo
Open sump Open sump
Source #2 – Sumps
• looking for open water and sump collapse
Infrared Image LiDAR Topographical Image
Wellsite #1
Berm collapse
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Source #3 – Debris Gravel Pad
Gravel Pad
Wellsite #1 – Ortho image
Wellsite #1 – LiDAR
Staging Area #1 – Air photo
Rusted Tank Bottom
Boats
Boats
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Total Sump Collapse
Receptor
Pathways
• modeling drainage pathways using LiDAR imagery
Wellsite #3
Receptor
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Wet areas (blue)
Wellsite #3
Pathways
• validating potential water pathways using thermal imagery
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Flow lines on infrared multispectral image
Receptors – determining open water and wet areas using Infrared
Wellsite #2
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Lower
• no debris, physical hazards
• no hazardous materials
• no water ponding
• drilling muds not an issue
• evidence of sump freeze-back
• in a less sensitive area
• vegetation re-growth
(higher density, vigour, type)
• flat slopes
• no potential for erosion
Site Prioritization:
200m
Wellsite #5 – Lower Priority
Sump #1
Sump #2
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Higher
• potential erosion by water
• sump migration / contact with the
environment
• pathway receptor for drilling mud
• physical hazards (ex. pilings,
debris, sump heaving)
• located in a sensitive area
• uptake potential for wildlife
• negative community perception
Site Prioritization:
Sump #1
Wellsite #1 – Higher Priority
Imagery © 2012 DigitalGlobe, GeoEye , MapData © 2012 Google
100m
Sump #2
Wat
er c
han
nel
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• Source-Pathway-Receptor model well supported by remote sensing data
– requires clear data requirements for Phase I and other environmental analyses
• Useful for prioritizing sites that may require future field visits
– Establishes database of baseline information
– Potential use as long-term monitoring strategy
– Advantageous to have an inventory for stakeholder inquiries
• Satellite data proves useful and cost effective vs. hyperspectral
– Comparable results and more easily acquired
– Aerial data has detail but expensive and logistically difficult to execute
• Certain site details only acquired by traditional site visit
Conclusions
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Special thanks to…
• WorleyParsons project team
– Alan MacDonald, Ann Glatiotis, Brock Snider
• North of 60 Geomatics
• Terra Remote Sensing Inc.
• University of Victoria – Department of Geography
• University of Calgary – Department of Geography
• Imperial Oil project team
– Ron Quaife, Holly Stover, Lori Neufeld, Doug Blue, Bruce Parent, Heather Hynes
• Aurora Research Institute
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Backup
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Pathways – identifying regional flow basins using satellite topography
Satellite derived topographical image of wellsites
wellsite location
flow direction
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Source #2 – Sumps
• Assessing sump
morphology using
LiDAR