Method and system for analyzing gas leak based on machine learning
Embodiments of the present invention provide a system for estimating a location of a gas leak, based on machine learning from forward gas concentration data provided by an analog or scale model including a gas source. The system improves significantly over previous systems by providing high quality, physically accurate forward modeling data inexpensively. During operation, the system configures an aerosol source at a first location to emit a gaseous aerosol. The system then configures a laser source to illuminate the aerosol with a laser sheet. The system may then obtain an image of a reflection of the laser sheet from the aerosol. The system may then analyze the image to quantify a three-dimensional concentration distribution of the aerosol. The system may then estimate, based on solving an inverse problem and an observed second gas concentration, a second location of a second gas source.
1. A computer-implemented method for measuring a gas concentration distribution, comprising:
configuring, by a computer system, an aerosol source at a first location to emit a gaseous aerosol;
configuring, by the computer system, a laser source to illuminate the gaseous aerosol with a laser sheet;
obtaining, from a camera, an image of a reflection of the laser sheet from a plurality of particles of the gaseous aerosol;
analyzing the image to quantify a three-dimensional concentration distribution of the gaseous aerosol associated with the first location; and
solving, directly based on the three-dimensional concentration distribution and the first location, an inverse problem; and
estimating, based on the solved inverse problem and an observed second gas concentration, a second location of a second gas source.
2. The method of claim 1 , wherein the first location of the aerosol source is within a wind tunnel or a turbulent wind tunnel.
3. The method of claim 2 , further comprising selecting a relative wind direction by configuring a turn table to rotate the aerosol source within the wind tunnel or turbulent wind tunnel.
4. The method of claim 1 , wherein configuring the aerosol source at the first location further comprises selecting the aerosol source from a set of multiple sources located at predetermined locations.
5. The method of claim 1 , further comprising:
configuring the laser source to illuminate the gaseous aerosol with a plurality of laser sheets at different heights and/or orientations;
obtaining, from the camera, a plurality of images of reflections of the plurality of laser sheets from the gaseous aerosol; and
analyzing the plurality of images to quantify the three-dimensional concentration distribution of the gaseous aerosol.
6. The method of claim 1 , wherein analyzing the image further comprises one or more of:
correcting for a placement of the camera by a perspective transformation;
calibrating a spatial scale of the image using a set of fiduciary points at known fiduciary locations;
removing artifacts from the image by differencing an artifact image, wherein the artifact image is taken with the aerosol source configured not to emit the gaseous aerosol;
suppressing an aerosol signature originating out of a plane of the laser sheet by correlating a set of red, green, and blue (RGB) values for a respective pixel within the image; and
isolating a plume of the gaseous aerosol within the image by analyzing connectedness of shapes in the image.
7. The method of claim 1 :
wherein the first location of the aerosol source is in a scale model of a well-pad; and
wherein the second gas source is a natural gas leak.
8. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for measuring a gas concentration distribution, the method comprising:
configuring an aerosol source at a first location to emit a gaseous aerosol;
configuring a laser source to illuminate the gaseous aerosol with a laser sheet;
obtaining, from a camera, an image of a reflection of the laser sheet from a plurality of particles of the gaseous aerosol;
analyzing the image to quantify a three-dimensional concentration distribution of the gaseous aerosol associated with the first location; and
solving, directly based on the three-dimensional concentration distribution and the first location, an inverse problem; and
estimating, based on the solved inverse problem and an observed second gas concentration, a second location of a second gas source.
9. The non-transitory computer-readable storage medium of claim 8 , wherein the first location of the aerosol source is within a wind tunnel or a turbulent wind tunnel.
10. The non-transitory computer-readable storage medium of claim 9 , wherein the method further comprises selecting a relative wind direction by configuring a turn table to rotate the aerosol source within the wind tunnel or turbulent wind tunnel.
11. The non-transitory computer-readable storage medium of claim 10 , wherein configuring the aerosol source at the first location further comprises selecting the aerosol source from a set of multiple sources located at predetermined locations.
12. The non-transitory computer-readable storage medium of claim 8 , wherein analyzing the image further comprises one or more of:
correcting for a placement of the camera by a perspective transformation;
calibrating a spatial scale of the image using a set of fiduciary points at known fiduciary locations;
removing artifacts from the image by differencing an artifact image, wherein the artifact image is taken with the aerosol source configured not to emit the gaseous aerosol;
suppressing an aerosol signature originating out of a plane of the laser sheet by correlating a set of red, green, and blue (RGB) values for a respective pixel within the image; and
isolating a plume of the gaseous aerosol within the image by analyzing connectedness of shapes in the image.
13. The non-transitory computer-readable storage medium of claim 8 :
wherein the first location of the aerosol source is in a scale model of a well-pad; and
wherein the second gas source is a natural gas leak.
14. A computing system for measuring a gas concentration distribution, the system comprising:
a set of processors;
an aerosol source at a first location;
a laser source;
a camera; and
a non-transitory computer-readable medium coupled to the set of processors storing instructions thereon that, when executed by the processors, cause the processors to perform a method for measuring a gas concentration distribution, the method comprising:
configuring the aerosol source to emit a gaseous aerosol;
configuring the laser source to illuminate the gaseous aerosol with a laser sheet;
obtaining, from the camera, an image of a reflection of the laser sheet from a plurality of particles of the gaseous aerosol;
analyzing the image to quantify a three-dimensional concentration distribution of the gaseous aerosol associated with the first location; and
solving, directly based on the three-dimensional concentration distribution and the first location, an inverse problem; and
estimating, based on the solved inverse problem and an observed second gas concentration, a second location of a second gas source.
15. The computing system of claim 14 , wherein the first location of the aerosol source is within a wind tunnel or a turbulent wind tunnel.
16. The computing system of claim 14 , wherein the method further comprises selecting a relative wind direction by configuring a turn table to rotate the aerosol source within the wind tunnel or turbulent wind tunnel.
17. The computing system of claim 14 :
further comprising a set of multiple aerosol sources located at predetermined locations; and
wherein configuring the aerosol source at the first location further comprises selecting the aerosol source from the set of multiple sources.
18. The computing system of claim 14 , wherein the method further comprises:
configuring the laser source to illuminate the gaseous aerosol with a plurality of laser sheets at different heights and/or orientations;
obtaining, from the camera, a plurality of images of reflections of the plurality of laser sheets from the gaseous aerosol; and
analyzing the plurality of images to quantify the three-dimensional concentration distribution of the gaseous aerosol.
19. The computing system of claim 14 , wherein analyzing the image further comprises one or more of:
correcting for a placement of the camera by a perspective transformation;
calibrating a spatial scale of the image using a set of fiduciary points at known fiduciary locations;
removing artifacts from the image by differencing an artifact image, wherein the artifact image is taken with the aerosol source configured not to emit the gaseous aerosol;
suppressing an aerosol signature originating out of a plane of the laser sheet by correlating a set of red, green, and blue (RGB) values for a respective pixel within the image; and
isolating a plume of the gaseous aerosol within the image by analyzing connectedness of shapes in the image.
20. The computing system of claim 14 :
wherein the first location of the aerosol source is in a scale model of a well-pad; and
wherein the second gas source is a natural gas leak.