Abstract: The invention relates to a computer-implemented method of monitoring a liquid resource stored in a lake, comprising the steps of determining a level of the liquid resource in the lake based on a satellite image of the lake and of determining a volume of the liquid resource in the lake based on the determined level and on a volume function of the lake which associates a volume to a given level. Determining said level comprises identifying within the satellite image a contour representative of a shoreline of the liquid resource within the lake and determining a height of the contour based on an elevation model of the lake aligned with the satellite image.

Abstract: A method for detecting and quantifying gas emissions from a satellite image comprises obtaining an image of an area of interest, determining an amount of variation in light intensity within the image, and correlating the amount of variation in light intensity within the image to a gas concentration of a gas emission located in the area of interest.

Abstract: The invention relates to computer-implemented method for the 3D reconstruction of a ground surface area by stereophotogrammetry, comprising the steps of: determining corrected Rational Polynomial Camera, RPC, models by performing bundle adjustment (BA) of original RPC models each provided with an image of a set of images of the ground surface area acquired by a remote imaging sensor and each associated to a corresponding original projection function ({Pm}) from a 3D object space to a 2D image space, wherein determining the corrected RPC models comprises determining corrected projection functions ({Pmcor}) from the 3D object space to the 2D image space; and determining (PC) a 3D point cloud representative (3DPC) of the ground surface area by triangulation, based on the corrected RPC models, of stereo correspondences within images of the set of images.

Abstract: A method of monitoring synthetic gas emissions comprises obtaining a gas concentration image within a first area of interest from an overhead image acquisition device, detecting from the gas concentration image at least one gas plume of a synthetic gas emission, quantifying an emission rate of the detected gas plume, estimating an estimated point source of the detected gas plume, and attributing the detecting gas plume to an actual point source. A corresponding system for monitoring synthetic gas emissions comprises a memory storing a gas concentration image of a first area of interest, and a processor communicatively coupled thereto and configured to detect from the image of the gas concentration at least one gas plume of a synthetic gas emission, quantify an emission rate of the detected gas plume, estimate an estimated point source of the detected gas plume, and attribute the detecting gas plume to an actual point source.

Abstract: A method for detecting and quantifying gas emissions from a satellite image comprises obtaining an image of an area of interest, determining an amount of variation in light intensity within the image, and correlating the amount of variation in light intensity within the image to a gas concentration of a gas emission located in the area of interest.

Abstract: The invention relates to computer-implemented method for the 3D reconstruction of a ground surface area by stereophotogrammetry, comprising the steps of: determining corrected Rational Polynomial Camera, RPC, models by performing bundle adjustment (BA) of original RPC models each provided with an image of a set of images of the ground surface area acquired by a remote imaging sensor and each associated to a corresponding original projection function ({Pm}) from a 3D object space to a 2D image space, wherein determining the corrected RPC models comprises determining corrected projection functions ({Pmcor}) from the 3D object space to the 2D image space; and determining (PC) a 3D point cloud representative (3DPC) of the ground surface area by triangulation, based on the corrected RPC models, of stereo correspondences within images of the set of images.

Abstract: The invention relates to a method for processing a sequence of top view image frames ({ItLR}t=0T) of low resolution of a same terrestrial location, each top view image frame ({ItLR}t=0T) having pixels and pixel values, comprising the following steps: choosing (S0) one top view image frame (I0LR), called reference frame (I0LR), among the top view image frames ({ItLR}t=0T), estimating (S1) motion fields (Ft?0, ME) between each top view image frame ({ItLR}t=1T) and the reference frame (I0LR) by using a first neural network (NN1), encoding (S1?) the top view image frames ({ItLR}t=1T) to produce convolutional features ({JtLR}t=1T) extracted respectively from the top view image frames ({ItLR}t=1T) by using a second neural network (NN2), aggregating (S2, S3, Shift-and-add, SPMC) pixels of the convolutional features ({JtLR}t=1T) to positions ({JtHR}t=1T) in a high resolution grid (HRG) using the motion fields (Ft?0, ME) to obtain aggregated features (JHR), decoding (S4) by a decoder network (DN) the aggregated fea

Abstract: Methods and systems for determining a status of a hydrocarbon production site are provided. The systems and methods include defining an area about a hydrocarbon well location and obtaining a time series of mobile geolocation data for at least one mobile device located within the area about the hydrocarbon well location. The times series of mobile geolocation data is processed and probabilities that the mobile geolocation data is associated with a drilling activity, a fracking activity, a tie-in activity, and/or an absence of drilling activity, fracking activity, and/or tie-in activity are output. The mobile geolocation data is categorized, based on the probabilities, as being associated with one of drilling activity, fracking activity, or absence of drilling activity and fracking activity.

Abstract: A method for measuring a liquid volume and/or corresponding fill rate of floating roof tanks includes selecting an Area Of Interest (AOI) to be monitored at the earth's surface, gathering geographical coordinates of tanks in the AOI, and downloading and pre-processing a time series of SAR reference images covering the AOI. The method includes projecting geographical coordinates of the tanks on the time series of the images to determine pixel coordinates of the tanks, and determining tank dimensions through processing of the images at the pixel coordinates. The method includes downloading and pre-processing at least one new SAR image over the AOI and registering it on top of the reference images, and, for each tank of the AOI, detecting in the new SAR image a bright spot corresponding to the roof of the tank and converting its pixel coordinates into liquid volume and/or fill rate information.

Abstract: A method for detecting pad construction and/or drilling and/or for hydraulic fracturing of at least one hydrocarbon well, comprising the steps of: selecting at least one specified well location, obtaining at least one time series of top view images of the specified well location, in which each top view image has a date corresponding to a day of acquisition of the top view image, processing the time series of top view images to detect at least one top view image showing the apparition of a well pad and/or showing drilling activity and/or showing fracturing activity, exporting the date corresponding to the acquisition day of the top view image showing the apparition of the well pad and/or drilling activity and/or fracturing activity, providing, based on export date, an information of pad construction date and/or drilling starting date and/or fracturing starting date and/or a full production forecast for the specified well location.

Abstract: A method for measuring a liquid volume and/or corresponding fill rate of floating roof tanks includes selecting an Area Of Interest (AOI) to be monitored at the earth's surface, gathering geographical coordinates of tanks in the AOI, and downloading and pre-processing a time series of SAR reference images covering the AOI. The method includes projecting geographical coordinates of the tanks on the time series of the images to determine pixel coordinates of the tanks, and determining tank dimensions through processing of the images at the pixel coordinates. The method includes downloading and pre-processing at least one new SAR image over the AOI and registering it on top of the reference images, and, for each tank of the AOI, detecting in the new SAR image a bright spot corresponding to the roof of the tank and converting its pixel coordinates into liquid volume and/or fill rate information.

Abstract: A method for detecting pad construction and/or drilling and/or for hydraulic fracturing of at least one hydrocarbon well, comprising the steps of: selecting at least one specified well location, obtaining at least one time series of top view images of the specified well location, in which each top view image has a date corresponding to a day of acquisition of the top view image, processing the time series of top view images to detect at least one top view image showing the apparition of a well pad and/or showing drilling activity and/or showing fracturing activity, exporting the date corresponding to the acquisition day of the top view image showing the apparition of the well pad and/or drilling activity and/or fracturing activity, providing, based on export date, an information of pad construction date and/or drilling starting date and/or fracturing starting date and/or a full production forecast for the specified well location.