US 12,259,375 B2
Method and apparatus for methane management
Kashif Rashid, Cambridge, MA (US); Lukasz Zielinski, Cambridge, MA (US); and Andrew J. Speck, Cambridge, MA (US)
Assigned to CAMERON INTERNATIONAL CORPORATION, Houston, TX (US)
Appl. No. 18/704,256
Filed by Cameron International Corporation, Houston, TX (US)
PCT Filed Dec. 8, 2022, PCT No. PCT/US2022/081142
§ 371(c)(1), (2) Date Apr. 24, 2024,
PCT Pub. No. WO2023/108041, PCT Pub. Date Jun. 15, 2023.
Claims priority of provisional application 63/265,122, filed on Dec. 8, 2021.
Prior Publication US 2024/0418693 A1, Dec. 19, 2024
Int. Cl. G01M 3/16 (2006.01); G01N 33/00 (2006.01); G01W 1/10 (2006.01); G06F 30/28 (2020.01)
CPC G01N 33/0075 (2013.01) [G01M 3/16 (2013.01); G01W 1/10 (2013.01); G06F 30/28 (2020.01)] 13 Claims
OG exemplary drawing
 
1. A greenhouse gas emission analysis (GGEA) system, comprising:
at least one memory configured to store a plume model; and
at least one processor configured to execute stored instructions to perform actions comprising:
receiving gas concentration measurements from gas sensors communicatively coupled to the GGEA system;
receiving wind measurements from wind sensors communicatively coupled to the GGEA system;
convolving the gas concentration measurements and the wind measurements into valid event records; and
predicting a location and leak rate of a gas leak within a worksite based at least in part on the valid event records and the plume model, comprising, for each potential gas leak location and each potential gas leak rate:
summing, for each gas sensor of the gas sensors, a cost function value that compares a gas concentration measurement of the gas sensor from a valid event record with a gas concentration predicted for the gas sensor by the plume model using, as input, at least the potential gas leak location, the potential gas leak rate, a location of the gas sensor, and wind measurements of the valid event record; and
selecting the potential gas leak location and the potential gas leak rate that yields a lowest summed cost function value as the predicted location and leak rate of the gas leak.