On Demand High Resolution Aerial Imagery In The Upstream Oil & - - PowerPoint PPT Presentation

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On Demand High Resolution Aerial Imagery In The Upstream Oil & - - PowerPoint PPT Presentation

Utilizing Remote Sensing and On Demand High Resolution Aerial Imagery In The Upstream Oil & Gas Environmental Sector Greg Lewis, B.Sc. Senior Environmental Scientist SUSTAINTECH 2017 SustainTech 2017 1 Presentation Outline What is


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Utilizing Remote Sensing and On Demand High Resolution Aerial Imagery In The Upstream Oil & Gas Environmental Sector

Greg Lewis, B.Sc. Senior Environmental Scientist

SUSTAINTECH 2017

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Presentation Outline

  • What is On-Demand Imagery?
  • Things to consider
  • Platform Options and Regulatory

Requirements

  • Remote Sensing Techniques and Image

Products

  • Application Review (QDVA)
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What is On Demand Imagery?

  • The ability to collect aerial imagery of exactly

where it is needed, when it is needed

  • Situational awareness is key in environmental

response and documenting for monitoring

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What is On Demand Imagery?

  • To be effective, on demand imagery needs to:

–Be easy and flexible to deploy –Potential for georeferencing –Have a clear workflow from acquisition to implementation

  • A picture is worth a thousand words, a timely

aerial image and the value created is worth much more.

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Things to Consider

  • Spatial extent and number of sites to be

captured

  • Spatial resolution
  • Frequency of imagery
  • Type of imagery required (colour, NIR, both)
  • Potential regulatory restrictions (Transport

Canada)

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Imagery Platforms

  • There are a number of imagery acquisition

platforms available

  • Recent growth in the use of Unmanned Aerial

Vehicles (UAV)

  • End use deliverable and regulatory framework

must be considered

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UAV

Low altitude Small spatial coverage Limited flight time Very flexible deployment

Traditional Aircraft

Low to medium altitude Medium spatial coverage Hours of flight time Need runway & landing strip

Satellite

Orbit Very large spatial coverage Constant Orbit In ability to control

CLOUD COVER

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Unmanned Aerial Vehicles (UAV)

  • Special Flight Operations

Certificate (SFOC)

– Recommended for commercial operations – Issued by Transport Canada (TC) – Site-specific or blanket certificates – Long lead times (months)

  • Quickly deployed by qualified field staff
  • Line of sight requirement
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Unmanned Aerial Vehicles (UAV)

  • Altitude < 90m AGL
  • Weather considerations
  • Needs close access to site and

landowner permission

  • Mission types

– Areas typically less than 2 hectares – Industrial sites – Spill sites – Lease sites

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Fixed-Wing Aircraft

  • Capable of Rapid Response

– Certified & portable camera pod – No aircraft modifications required – High availability of aircraft & pilots – Charter license required by aircraft

  • perator
  • Altitude adjustable, usually 2000’

AGL or higher, cloud cover / haze

  • Camera pod payload up to 60 pounds
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Fixed-Wing Aircraft

  • Long Flight Times

– 4 to 4.5 hours max, 3 hours typical

  • Land

– No prior permission, no permitting, no site-specific safety training – Large / long areas

  • Cost Effective

– Potential for low cost per area unit

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NIR Imagery and NDVI

  • Healthy vegetation cellular structure highly

reflects near infrared wavelengths as compared to red wavelengths

  • Normalized Difference Vegetation Index

(NDVI) describes this gap and quantifies the amount of biomass

𝑶𝑬𝑾𝑱 = 𝑶𝑱𝑺 − 𝑺𝒇𝒆 𝑶𝑱𝑺 + 𝑺𝒇𝒆

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Application - Situation

  • Client had recently completed an acquisition
  • f 250+ sites
  • Needed a cost effective method of

documenting site conditions to effectively develop an environmental program

  • Focus of assessment on vegetative state of

sites

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QDVA

  • Quantitative Desktop Vegetation Assessment
  • Automated evaluation of vegetation variation

within areas of interest as compared to background values based on NDVI values

  • Relative ranking system developed to rank

multiple sites

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QDVA Process

Colour Near Infrared NDVI Area of Interest Background

𝑹𝑬𝑾𝑩 𝑺𝒃𝒖𝒋𝒑 = %𝐼𝑗𝑕ℎ + %𝑁𝑓𝑒𝑗𝑣𝑛 %𝑁𝑓𝑒𝑗𝑣𝑛 𝑀𝑝𝑥 + %𝑀𝑝𝑥 𝑹𝑬𝑾𝑩 𝑺𝒃𝒐𝒍𝒋𝒐𝒉 = 𝑅𝐸𝑊𝐵 𝑆𝑏𝑢𝑗𝑝 𝐵𝑠𝑓𝑏 𝑝𝑔 𝐽𝑜𝑢𝑓𝑠𝑓𝑡𝑢 𝑅𝐸𝑊𝐵 𝑆𝑏𝑢𝑗𝑝 𝐶𝑏𝑑𝑙𝑕𝑠𝑝𝑣𝑜𝑒

Deliverables

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Benefits

  • Efficient comparison for large number of sites
  • Can provide insight into unknown sites and

direction for potential program development

  • Documentation of site conditions
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Limitations

  • Automated process only as good as the data

coming into the process

  • Difficult to create a process that works for

every site situation

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Further Development

  • Review and refinement of QDVA ratio and

ranking system using ground based field data

  • Develop a more robust model that potentially

can adjust to unique site conditions in a systematic way

  • Assess UAV based system
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Wrap Up

  • On demand imagery has become very popular

with the explosion of UAV’s

  • Many things need to be considered for

effective application

  • Remote sensing techniques and models need

to be developed to create value for new and unique applications