An Unmanned Aerial Vehicle (UAV)-Based Methane Quantification Method for Oil and Gas Sites

This study presents a novel top-down approach to quantify diffuse methane (CH4) emissions at oil and gas well sites. It uses an unmanned aerial vehicle (UAV) equipped with a scanning–sampling tunable diode laser absorption spectroscopy (TDLAS) CH4 measurement instrument. By integrating the top-down emission rate retrieval algorithm (TERRA) and adopting concentric circular sampling, the method aims to overcome the limitations of traditional ground-based measurements. The UAV system was deployed at 11 oil and gas sites in the Changqing Oilfield. The results show that the average CH4 emission rate detected by the UAV is 1.425 kg/h (excluding non-detected samples), which is larger than the 1.061 kg/h obtained from ground-based onsite direct measurement. This discrepancy may be because the UAV’s scanning–sampling capability can cover a larger area, capturing scattered or hidden diffuse emission sources that might be missed by ground-based onsite direct measurement. The study demonstrates that the UAV-based approach with a scanning–sampling TDLAS CH4 measurement instrument, integrated with the TERRA and concentric circular sampling, is effective in capturing diffuse CH4 emissions at oil and gas well sites, providing a viable method for large-scale and efficient monitoring of such emissions. This approach could provide an effective pathway for large-scale, efficient, and cost-effective monitoring of methane emissions.

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Publication Details

Journal
Drones
Published
2025-11-11
DOI
https://doi.org/10.3390/drones9110785
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

An Unmanned Aerial Vehicle (UAV)-Based Methane Quantification Method for Oil and Gas Sites

Zhihe Tang, Tao Gu, Zi Long, Hui Luan et al.
Drones
Atmospheric and Environmental Gas Dynamics
article

An Unmanned Aerial Vehicle (UAV)-Based Methane Quantification Method for Oil and Gas Sites

Zhihe Tang, Tao Gu, Zi Long, Hui Luan, Degang Xu, Xuan Wang, Y. Liu, Chen Wang
article en

Abstract

This study presents a novel top-down approach to quantify diffuse methane (CH4) emissions at oil and gas well sites. It uses an unmanned aerial vehicle (UAV) equipped with a scanning–sampling tunable diode laser absorption spectroscopy (TDLAS) CH4 measurement instrument. By integrating the top-down emission rate retrieval algorithm (TERRA) and adopting concentric circular sampling, the method aims to overcome the limitations of traditional ground-based measurements. The UAV system was deployed at 11 oil and gas sites in the Changqing Oilfield. The results show that the average CH4 emission rate detected by the UAV is 1.425 kg/h (excluding non-detected samples), which is larger than the 1.061 kg/h obtained from ground-based onsite direct measurement. This discrepancy may be because the UAV’s scanning–sampling capability can cover a larger area, capturing scattered or hidden diffuse emission sources that might be missed by ground-based onsite direct measurement. The study demonstrates that the UAV-based approach with a scanning–sampling TDLAS CH4 measurement instrument, integrated with the TERRA and concentric circular sampling, is effective in capturing diffuse CH4 emissions at oil and gas well sites, providing a viable method for large-scale and efficient monitoring of such emissions. This approach could provide an effective pathway for large-scale, efficient, and cost-effective monitoring of methane emissions.

DronesVol. 9(11)
China National Petroleum Corporation (China) (CN)
China National Petroleum Corporation
Openalex Percentile: Top 69%
Atmospheric and Environmental Gas Dynamics
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