US 12,416,615 B2
Method and apparatus for methane leakage detection
Kang Wang, Houston, TX (US); Shu Pan, Calgary (CA); Gocha Chochua, Sugar Land, TX (US); Raphael Gadot, Sugar Land, TX (US); Nasser Ghorbani, Houston, TX (US); and Oleg O. Medvedev, Missouri City, TX (US)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Dec. 8, 2022, as Appl. No. 18/063,329.
Claims priority of provisional application 63/265,119, filed on Dec. 8, 2021.
Claims priority of provisional application 63/265,121, filed on Dec. 8, 2021.
Prior Publication US 2023/0176023 A1, Jun. 8, 2023
Int. Cl. G01N 33/00 (2006.01)
CPC G01N 33/0075 (2013.01) [G01N 33/0034 (2013.01); G01N 33/0036 (2013.01); G01N 33/0063 (2013.01); G01N 33/0068 (2024.05)] 22 Claims
OG exemplary drawing
 
1. A gas emission analysis (GEA) system, comprising:
one or more memories configured to store a digital representation of a worksite comprising a gas plume model; and
one or more processors configured to execute instructions stored in the one or more memories to perform actions comprising:
receiving input data from a plurality of data sources comprising at least a plurality of sensors;
determining one or more potential sensor locations associated with the plurality of sensors using the gas plume model based on the input data;
generating a plurality of candidate sensor deployment plans based on the one or more potential sensor locations;
determining a sensor deployment plan from the plurality of candidate sensor deployment plans using the gas plume model based at least in part on plan coverage ratios and plan cost associated with the plurality of candidate sensor deployment plans;
deploying the plurality of sensors based on the sensor deployment plan;
setting one or more gas leakage event trigger logics for a subset of the plurality of sensors;
receiving updated input data from the plurality of data sources;
determining whether at least a portion of the input data activates at least one of the one or more gas leakage event trigger logics;
receiving a list of effective gas concentration measurements from the subset of the plurality of sensors associated with a plurality of potential gas leak sources;
generating a plurality of estimation metrics based on one or more gas concentration simulations;
ranking the plurality of potential gas leak sources based on the plurality of estimation metrics; and
generating a recommendation configured to prompt a user or a device to deploy a detector to the worksite based on the recommendation.