Emission quantification using a line scan of gas concentration data
US-2018172544-A1 · Jun 21, 2018 · US
US10895665B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10895665-B2 |
| Application number | US-201415503339-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 12, 2014 |
| Priority date | Aug 12, 2014 |
| Publication date | Jan 19, 2021 |
| Grant date | Jan 19, 2021 |
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The invention relates to a method for detecting and locating hydrocarbon deposits under a body of water in several steps. First, images of a surface of the body of water taken at different times are acquired. Next, for each image, traces of hydrocarbon leaks are identified. Next, a detection map is generated. This map indicates probabilities of the presence of a hydrocarbon leak around the identified traces. The map is obtained by processing the image at least based on a criterion of distance to the identified traces. Finally, the detection maps are combined to produce a hydrocarbon leak location map.
Opening claim text (preview).
The invention claimed is: 1. A method for detecting and locating a hydrocarbon deposit under a body of water, the method comprising: acquiring images of a surface of the body of water taken at different times; for each image: identifying traces of hydrocarbon leaks in the image; generating a detection map indicative of probabilities of the presence of a hydrocarbon source around the identified traces of hydrocarbon leaks, by processing the image at least based on a criterion of distance to the identified traces of hydrocarbon leaks; combining the detection maps generated to produce a hydrocarbon deposit leak source location map, and wherein the processing of each image on the basis at least of a criterion of distance to the identified hydrocarbon traces comprises assigning to each point i of the image a value computed on the basis of the distance of the point i to the trace of the identified hydrocarbon leak closest to the point i, and the value assigned to a point i of the image is proportional to exp[˜min d 1 2 /(2σ 2 )], where min d i 2 denotes a minimum distance squared of the point i to a trace of a closest hydrocarbon leak, and σ 2 represents a representative variance of a zone of influence of the trace of the hydrocarbon leak. 2. The method of claim 1 , wherein the images cover an area of at least 100 km by 100 km. 3. The method according to claim 1 , wherein the hydrocarbon leak source location map is produced by combining detection maps generated from at least 50 images of the body of water. 4. The method according to claim 1 , wherein the images have a pixel representing an area greater than 25 metres by 25 metres. 5. The method according to claim 1 , wherein the images are taken at time intervals between one day and several months. 6. The method according to claim 1 , wherein the images are acquired using a device sensitive to wavelengths included in the visible and infrared range. 7. The method according to claim 1 , wherein the images are acquired using a device sensitive to wavelengths included in the radar range. 8. The method according to claim 1 , further comprising, for each image: filtering traces of hydrocarbon leaks identified by morphological analysis to exclude traces of hydrocarbon leaks of human origin and look-alike images. 9. The method according to claim 1 , wherein images of a plurality of geographic zones are acquired to generate respective detection maps, the combination of the detection maps generated for one of the plurality of geographic zones comprising a normalisation on the basis of a number of images acquired for said geographic zone. 10. The method according to claim 1 , wherein the combination of the detection maps generated comprises, for each point i, addition of the values assigned to the point i on each detection map.
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