Abstract: Systems and methods are described for calculating an emission rate of a fugitive gas based on a gas density image of the fugitive gas. In an example, a computing device receives a gas density image of a fugitive gas from a camera. The computing device determines how to optimize the fugitive gas in the camera's field of view and instructions the camera to adjust its bearing and zoom accordingly. The camera captures one or more additional images of the fugitive gas, and the computing device stitches the images together where appropriate. The computing device then calculates the emission rate by delineating the fugitive gas in the image and determining a flux of the gas using one of various calculation methods.

Abstract: Example embodiments provide a method for improved commissioning, interpretation, and automated or remote operation of a methane density camera designed for monitoring of gas emissions. In some embodiments, the method consists of three related but independent steps including commissioning, remote operation, and data interpretation.

Abstract: Systems and methods are described for calibrating an imaging or LIDAR based gas monitoring system for efficiently scanning for gas plumes. In an example, a calibration workflow that improves the accuracy of transformations from observed points in a particular camera frame to a coordinate system that is fixed with respect to the ground, such as a set of latitude, longitude, and height values; or a spherical polar coordinate system centered at the camera where the zenith is perpendicular to the ground.

Abstract: Process for locating emission detecting camera(s) at a worksite. The process can include creating a site model, completing a camera coverage calculation loop that can include choosing a first camera location from the site model, and completing a source calculation loop to provide a plurality of coverage values of the first camera location for a plurality of potential emission sources in the site model. The process can also include calculating a coverage ratio from the plurality of coverage values to provide a first coverage ratio. The process can also include repeating the camera coverage calculation loop for an additional potential camera location from the site model to provide a plurality of coverage ratios. The process can also include creating an ordered list of the potential camera locations based on the coverage ratios. The process can also include choosing a camera position at the worksite from the ordered list.

Abstract: Systems and methods are described for an automatic and adaptive scanning method to efficiently scan for gas plumes using an imaging or LiDAR based gas monitoring system. In an example, the gas monitoring system can be coupled to a laser absorption spectroscopy with LiDAR. In an example, systems and methods for optimizing the utilization of the imaging or LiDAR based gas monitoring system includes planning, commissioning, acquiring data automatically, interpreting the data, or extracting gas emission events from the data, or a combination thereof, to provide a complete lifecycle of a gas leak and a comprehensive understanding of the gas emissions. In another example, systems and methods for detecting the presence of a plume of gas includes using supervised machine learning to train a model to recognize which images contain plumes of gas and estimate corresponding rates of gas leakage based on the images.

Abstract: Systems and methods are described for calculating an emission rate of a fugitive gas based on a gas density image of the fugitive gas. In an example, a computing device receives a gas density image of a fugitive gas from a camera. The computing device determines how to optimize the fugitive gas in the camera's field of view and instructions the camera to adjust its bearing and zoom accordingly. The camera captures one or more additional images of the fugitive gas, and the computing device stitches the images together where appropriate. The computing device then calculates the emission rate by delineating the fugitive gas in the image and determining a flux of the gas using one of various calculation methods.