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Grant: Alliance Grants

University of Alberta

$179,450.00

Airborne standoff quantum sensing of pipeline methane leaks

EF 2024-25

Résumé
Emission of methane, a greenhouse gas, is a major contributor to climate change. Natural gas and oil pipeline leaks account for about 30% of methane emission. Early detection and mitigation of leaks will reduce emission, benefit the environment, and reduce energy costs. Sensor-carrying aircraft are utilized for pipeline monitoring, since they can quickly cover the vast and remote areas over which pipelines are spread. However, current airborne sensing technology is not sensitive enough to detect small emissions at a distance. Field tests show that state-of-the-art airborne standoff detection sensitivity is above1 kg/hour of methane emission, even under favourable weather conditions. Moreover, existing methods have a high rate of false positives and false negatives, particularly for low emission rates. The goal of this project is to develop and demonstrate airborne standoff quantum sensing of <1 kg/hour methane emission at a distance of 150 meters. At such a distance, the optical backscatter that returns to the aircraft is on the few-photon (quantum) level, even when using the highest laser power allowed for open beam operation. The challenge in detection of this weak signal is further compounded by strong background light from solar radiation. Current detection schemes rely on the weak optical absorption of methane at near-infrared frequencies, where they leverage mature near-infrared optical technology. However, at mid-infrared frequencies, methane absorption is 100 times stronger, and solar background is much lower, while detector noise is ~1000 time higher, and there are no detectors capable of few-photon detection. We plan to combine upconversion detection of mid-infrared light with threshold quantum photon number resolving detection. Mid-infrared sensing light is converted into near-infrared light, which can be detected with a thresholded quantum photon number resolving detector. Such detection has been shown to provide a quantum advantage in signal-to-noise ratio when detecting few-photon laser light in the presence of thermal background (such as solar radiation), due to the difference in the quantum properties of laser and thermal light.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
597286-2024
Name nom
Porat, Gil G
Department département
Electrical and Computer Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
179450
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
409
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environmental impact of economic activities (including agriculture)
Area of application fr
Effet des activités économiques sur l'environnement (y compris agriculture)
Research subject code
3112
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Photonics
Research subject fr
Photonique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Airborne standoff quantum sensing of pipeline methane leaks
Keywords
laser spectroscopy; optical frequency conversion; photon counting; quantum optics; quantum sensing; upconversion detection
Application summary
Emission of methane, a greenhouse gas, is a major contributor to climate change. Natural gas and oil pipeline leaks account for about 30% of methane emission. Early detection and mitigation of leaks will reduce emission, benefit the environment, and reduce energy costs. Sensor-carrying aircraft are utilized for pipeline monitoring, since they can quickly cover the vast and remote areas over which pipelines are spread. However, current airborne sensing technology is not sensitive enough to detect small emissions at a distance. Field tests show that state-of-the-art airborne standoff detection sensitivity is above1 kg/hour of methane emission, even under favourable weather conditions. Moreover, existing methods have a high rate of false positives and false negatives, particularly for low emission rates. The goal of this project is to develop and demonstrate airborne standoff quantum sensing of <1 kg/hour methane emission at a distance of 150 meters. At such a distance, the optical backscatter that returns to the aircraft is on the few-photon (quantum) level, even when using the highest laser power allowed for open beam operation. The challenge in detection of this weak signal is further compounded by strong background light from solar radiation. Current detection schemes rely on the weak optical absorption of methane at near-infrared frequencies, where they leverage mature near-infrared optical technology. However, at mid-infrared frequencies, methane absorption is 100 times stronger, and solar background is much lower, while detector noise is ~1000 time higher, and there are no detectors capable of few-photon detection. We plan to combine upconversion detection of mid-infrared light with threshold quantum photon number resolving detection. Mid-infrared sensing light is converted into near-infrared light, which can be detected with a thresholded quantum photon number resolving detector. Such detection has been shown to provide a quantum advantage in signal-to-noise ratio when detecting few-photon laser light in the presence of thermal background (such as solar radiation), due to the difference in the quantum properties of laser and thermal light.