IP Library Granted Patent US 12,411,153
Granted Patent B2
US 12,411,153 · App. 18/817,092 · Granted Sep 9, 2025

Accurate measurement of methane gas leak flow rate

Inventors: Murray Keith Reed (Paignton, GB); Xiao Ai (Bristol, GB)
Assignee: QLM Technology Ltd
G01P5/26G01M3/186G01P5/02G01S7/4808G01S17/89
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Quick Facts
Patent No.
US 12,411,153
App. No.
18/817,092
Granted
Sep 9, 2025
Kind
B2
Abstract

Methods and systems for detecting and measuring gas flow are disclosed in which lidar distance information, acquired during the detection of gas using a lidar sensor, is used together with local wind data to determine a rate of flow for the detected gas. The local wind data, which may comprise one or more vectors or a 3D wind model, may be determined based on prevailing wind data and the lidar distance information, and can use computational fluid dynamics (CFD) models to determine the wind velocity through 3D structures identified using the lidar sensor. The detection of gas flow using the disclosed technology may be particularly useful for the remote detection and quantification of leaks from natural gas (methane) wells and pipelines to locate, quantify and map fugitive emissions.

Claims (76)

1. A method of detecting a gas flow, the method comprising:

transmitting modulated diode laser light from a lidar transceiver into a field of view;

receiving data from a lidar detector, wherein the received data is derived from detecting modulated diode laser light that has been scattered from structures in the field of view;

using the received data to detect a gas in the field of view;

determining, from the received data, information relating to a gas concentration of the detected gas;

determining, from the received data, lidar distance information relating to the structures in the field of view;

determining a location of the detected gas;

determining local wind data for the location of the detected gas; and

determining a rate of flow of the detected gas using the information relating to the gas concentration and the local wind data.

2. The method of claim 1 ,

wherein the detected gas is methane.

3. The method of claim 1 , comprising:

receiving prevailing wind data for the location of the detected gas; and

wherein determining the local wind data for the location of the detected gas is based on the lidar distance information and the prevailing wind data.

4. The method of claim 3 ,

wherein the prevailing wind data is acquired using an anemometer which is co-located with the lidar transceiver.

5. The method of claim 3 , comprising:

using the lidar distance information and the prevailing wind data to identify objects in the field of view obstructing the flow of gas,

wherein determining local wind data comprises modifying the prevailing wind data to account for the identified objects.

6. The method of claim 3 ,

wherein the local wind data is determined by attenuating one or more components of the prevailing wind data perpendicular to a surface of a structure.

7. The method of claim 3 ,

wherein the lidar distance information is combined with the prevailing wind data and a computational fluid dynamics model to predict local wind data for use in the determination of the rate of flow of the gas.

8. The method of claim 1 ,

wherein the determining of the information relating to the gas concentration and the determining of the lidar distance information are repeated in successive data acquisition periods,

wherein the local wind data is determined at multiple instances during a data acquisition period, and

wherein results of the determinations of the local wind data at multiple instances are used to determine constant local wind data for the data acquisition period.

9. The method of claim 1 , comprising:

determining gas concentration pathlengths for points in the field of view based on the information relating to the gas concentration and the lidar distance information,

wherein the determining the rate of flow of gas comprises multiplying gas concentration pathlength by the local wind data, and

wherein the rate of flow of gas is determined using only gas concentration pathlength determinations obtained when the local wind data satisfies predetermined criteria.

10. The method of claim 1 ,

wherein the modulated diode laser light is scanned over the field of view during a data acquisition period, and

wherein the information relating to the gas concentration of the detected gas comprises multiple measurements for gas concentration for different points in the field of view.

11. The method of claim 1 ,

wherein the determining of the location of the detected gas comprises determining a location of a source of the detected gas.

12. The method of claim 1 , comprising:

determining gas concentration pathlengths for points in the field of view based on the information relating to the gas concentration and the lidar distance information.

13. The method of claim 12 ,

wherein the determining of the location of the detected gas comprises determining a location of a source of the detected gas, and

wherein the determining of the location of the source of the detected gas is determined from the gas concentration pathlengths.

14. The method of claim 13 ,

wherein the determining of the location of the source of the detected gas comprises identifying an area of the field of view in which a gas concentration pathlength exceeds a threshold, and

wherein the determining of the location of the source of the gas comprises determining a gas leak location using a location of the lidar transceiver and a lidar range from the lidar transceiver to the area, and

wherein the determining of the gas leak location comprises overlaying a gas concentration pathlength image over a signal level image to indicate the location of the gas leak.

15. The method of claim 1 ,

wherein the lidar distance information is used to create a 3D map of structures in the field of view of the lidar transceiver, and

wherein the 3D map is used in the determining of local wind data.

16. The method of claim 1 ,

wherein the modulated diode laser light comprises output radiation from a continuous wave (CW) diode laser, and the output radiation is modulated by applying amplitude modulation from a modulator to the output radiation.

17. The method of claim 16 ,

wherein the output radiation is modulated with a binary code.

18. A gas detection system comprising:

a lidar sensor comprising a tunable diode laser, a modulator, a lidar transceiver, and a lidar detector;

at least one processor configured to perform operations comprising:

transmitting modulated diode laser light from the lidar transceiver into a field of view;

receiving data from the lidar detector, wherein the received data is derived from detecting modulated diode laser light that has been scattered from structures in the field of view;

using the received data to detect a gas in the field of view;

determining, from the received data, information relating to a gas concentration of the detected gas;

determining, from the received data, lidar distance information relating to the structures in the field of view;

determining a location of the detected gas;

determining local wind data for the location of the detected gas; and

determining a rate of flow of the detected gas using the information relating to the gas concentration and the local wind data.

19. The gas detection system of claim 18 , wherein:

the tunable diode laser is a distributed feedback laser,

the lidar detector is a single-photon detector, and

the detected gas is methane.

20. A non-transitory computer readable recording medium having computer instructions recorded thereon, the computer instructions, when executed by one or more processors, causing the one or more processors to implement operations comprising:

transmitting modulated diode laser light from a lidar transceiver into a field of view;

receiving data from a lidar detector, wherein the received data is derived from detecting modulated diode laser light that has been scattered from structures in the field of view;

using the received data to detect a gas in the field of view;

determining, from the received data, information relating to a gas concentration of the detected gas;

determining, from the received data, lidar distance information relating to the structures in the field of view;

determining a location of the detected gas;

determining local wind data for the location of the detected gas; and

determining a rate of flow of the detected gas using the information relating to the gas concentration and the local wind data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 28, 2025
From: REED, MURRAY KEITH; AI, XIAO
To: QLM TECHNOLOGY LIMITED
Reel/Frame 070365/0615 →
Priority Claims (1)
GB 2205038 · Apr 6, 2022 · national
Continuity (2)
Continuation 18296096 · Apr 5, 2023
Related Publication 20240418742A1 · Dec 19, 2024
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