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Non-Satellite Methane Detection and Quantification Technologies

David Lyon, Ph.D.

Senior Methane Scientist II

Environmental Defense Fund

dlyon@edf.org

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Today’s Presentation Outline

  • Introduction
  • How are leak detection and quantification technologies tested?
  • Leak detection
  • Direct measurements
  • Vehicle-based measurements
  • Drone-based measurements
  • Aircraft-based measurements
  • Stationary monitors
  • Advice for using Non-satellite technologies
  • Summary and Questions

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  • Environmental Defense Fund (EDF) is a non-profit environmental advocacy organization.
  • EDF is funded by our 3.5 million members and philanthropic donations.
  • EDF employs ~1000 staff in 30 countries.
  • EDF uses science and economics to find and implement effective solutions to environmental challenges including climate change, energy, human health, oceans, and ecosystems.

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My Expertise in Oil and Gas Methane

  • Ph.D. in Environmental Dynamics from University of Arkansas
    • Dissertation on oil and gas methane super-emitters
  • 2008 – 2012: Arkansas Department of Environmental Quality
  • 2012 – 2022: Environmental Defense Fund
  • 2023: United States Environmental Protection Agency
  • 2024: University of Texas at Austin
  • 2025 – present: Environmental Defense Fund
    • Based in Colorado, United States

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Session 1

March 05

Intro to Methane Satellite Observations (MethaneSAT, IMEO-MARS), Luis Guanter & Itziar (IMEO)

Session 2

April 9

MethaneSAT data to actions case study: NM/TX, Algeria (Hanling Yang)

MethaneSAT Observations in Uzbekistan: Initial Findings & Q&A (Aaron Feng)

Session 3

Today

Non-satellite Methane Detection and Quantification Technologies, David Lyon (EDF)

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Evaluating Leak Detection and Quantification Technologies

  • Many technology companies claim their products can accurately detect or quantify small leaks but this is only true during ideal, laboratory-based conditions.
  • Require technology companies to provide transparent data so you can evaluate their performance based on evidence not marketing.
  • Independent evaluation with single-blind, controlled release testing using defined protocols in realistic conditions is the best data.
    • Performance metrics include % true positive, % true negative, % false positive, % false negative, probability of detection, quantification accuracy
    • https://metec.colostate.edu/aded-2-0/

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Leak Detection and Quantification Technology Testing Facilities

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Leak Detection: Qualitative Surveys

  • Audio, Visual, and Olfactory (AVO)
    • Some natural gas leaks can be heard, seen, or smelled by human senses but this approach is unreliable and many leaks are missed by technicians.
  • Hand-held concentration meters (U.S. EPA Method 21)
    • Low-cost, high detection limit meters are used to measure CH4 or hydrocarbon concentrations directly next to components.
    • Leaks are indicated by concentrations above a defined threshold (e.g., 500 ppm).
    • This approach is labor intensive and cannot detect inaccessible leaks.
    • https://www.epa.gov/sites/default/files/2016-06/documents/m-21.pdf
  • Hand-held laser-based meters
    • Instruments that measure concentration along a path (ppm CH4 m-1) can be used by technicians to detect leaks or verify repairs from a longer distance than Method 21.

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Leak Detection – Optical Gas Imaging

  • Optical Gas Imaging (OGI) uses special infrared cameras and trained technicians to see methane and other hydrocarbons emissions normally invisible to the naked eye.
  • Leak detection limits depend on environmental conditions and technician experience.
  • Following survey protocols such as U.S. EPA Appendix K increases the likelihood of leak detection.

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Helicopter-based OGI survey of an unlit flare

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Direct Measurements: Quantifying CH4 Emission Rates

  • Hand-held meters and correlation equations
    • Similar to U.S. EPA Method 21, handheld meters measure methane or hydrocarbon concentration near components.
    • A correlation equation is used to convert measured concentration (ppm CH4) to an emission rate (gram CH4 hour-1).
    • The correlation between concentration and emission rate usually is weak so this approach has low accuracy.
    • https://ww2.arb.ca.gov/sites/default/files/2024-11/CH4LeakCorrelationsNGTransmission%26Storage_ada.pdf

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Direct Measurements

  • Bagging
    • If an emission source can be completely contained in a bag, then the CH4 emission rate can be quantified by measuring the gas flow rate and gas composition.
  • Acoustic meters
    • Acoustic meters use sound to detect and quantify leaks but often have poor accuracy.
  • Quantitative Optical Gas Imaging (QOGI)
    • Some OGI cameras include software to quantify hydrocarbon emission rates but quantification can have high uncertainty.

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Direct Measurements

  • High flow dilution sampler
    • Portable instrument uses a vacuum to fully capture emissions from a leaking component and measures the outlet concentration and flow rate to estimate the methane emission rate.
    • Cannot be used on inaccessible or very large emission sources.

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Vehicle-Based Measurements

  • Basic Principle of Gaussian Dispersion Approaches
    • Vehicles with high precision, fast response methane concentration analyzers and anemometers estimate site-level emission rates based on downwind methane concentration, wind speed and direction, and Gaussian dispersion equations.
  • US EPA Other Test Method 33a
    • Vehicle parks downwind of a site and measures methane concentration as the wind direction changes.
  • Transect Approach
    • Vehicle drives multiple transects downwind of site while measuring methane concentration.

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Vehicle-Based Measurements: EPA OTM 33a

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Vehicle-Based Measurements

  • Tracer Correlation
    • A tracer gas (e.g., acetylene) is released at a known emission rate near the target methane emission source.
    • A vehicle driving downwind transects measures the concentration of both the tracer gas and methane.
    • The methane emission rate is estimated based on the ratio of the methane and tracer gas concentrations.
    • This approach is highly accurate but can be complex to implement.

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Drone-Based Measurements

  • Optical Gas Imaging
    • An infrared camera mounted on a drone can be used for OGI surveys.
  • Transect Approach
    • Drone with methane concentration monitor flies downwind transects to estimate site- or equipment-level emissions.
  • Curtain Approach
    • Drone with methane concentration monitor flies a curtain (raster pattern perpendicular to wind direction) and measures the concentration across the plume to estimate site- or equipment-level emissions.

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Drone-Based Measurements

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Aircraft-Based Measurements

  • Mass Balance
    • Small aircraft with high precision, fast response methane concentration analyzer flies transects upwind and downwind of a target area or site. CH4 concentration and wind data are used to estimate the methane emission rate from the area/site.

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Aircraft-Based Measurements

  • Passive Infrared Remote Sensing
    • Infrared spectroscopy of reflected sunlight is used to image and quantify methane emission sources.
    • This approach requires clear skies and has a relatively high detection limit (50% probability of detection ≈ 50 – 100 kg/hr CH4).
  • Aerial LiDAR
    • Reflected laser light is measured to image and quantify methane emission sources.
    • Aerial LiDAR has a much lower detection limit than other aircraft- and satellite-based technologies (50% probability of detection ≈ 1 kg/hr CH4).

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Aircraft-Based Passive IR Imaging

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Aircraft-Based Gas Mapping LiDAR

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Stationary Monitors

  • Stationary monitors continuously collect methane concentration data but can only detect and quantify emissions when sensors are downwind of emission sources.
  • Most stationary monitoring systems have relatively poor accuracy quantifying emissions but the technology is rapidly improving.
  • Stationary monitors also can monitor operational data (e.g., gas pressure) that can inform emissions estimates including the duration of emission events observed with other technologies.

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Stationary Monitors

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Advice for Measuring Methane

  • Do not believe leak detection technology companies’ performance claims without transparent credible data that includes independent evaluation in the field or similar conditions.
  • Be aware of the limitations of individual methods (e.g., some technologies require clear skies or temperatures above 0 C).
  • Most technologies have detection limits that are probabilistic functions dependent on environmental conditions (e.g., 50% probability to detect a 1 kg CH4 h-1 leak in 3 m s-1 winds). Select methods with detection limits low enough to quantify most sources during the expected conditions.

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Advice for Measuring Methane

  • Many emission sources are intermittent and may be missed by infrequent leak detection and quantification
    • Aircraft-based LiDAR found 12 times higher methane emissions from Canadian well sites than OGI leak surveys.
    • Conversely, observed emission sources may be shorter duration than assumed when extrapolating annual emissions.
  • Integrating multiple measurements using different approaches and spatial and temporal scales is the most accurate approach for estimating methane emissions

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Questions?