Omniearth, Inc.

Jonathan Fentzke

Shadrian Strong

Lars P Dyrud

David Murr

Kristin Lavigne

Indra Epple

Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.

System and method for predicting well site production

Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix.

Image analysis of multiband images of geographic regions

A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.

System and method for predicting crop yield

A device includes an image data receiving processor, a well site data receiving processor, a zonal statistics processor and a vent flare calculator. The image data receiving processor receives image data of a geographic region around and including a well site. The well site data receiving processor receives well site location data of a location of the well site and generates well pad location data of a location of a well pad including the well site. The zonal statistics processor generates pixel data from the well pad location. The vent flare calculator calculates a volume of flared gas and based on the pixel data.

A device includes: an image data receiving component operable to receive multiband image data of a geographic region; a surface index generation component operable to generate a surface index based on at least a portion of the received multiband image data; a classification component operable generate a land cover classification based on the surface index; a segment data receiving component operable to receive segment data relating to at least a portion of the geographic region; a zonal statistics component operable generate a segment land cover classification based on the land cover classification and the segment data; a feature data receiving component operable to receive feature data; a feature index generation component operable to generate a feature index based on the received feature data; and a catalog component operable to generate a segment feature index based on the feature index and the segment land cover classification.

System and method for managing geodemographic data

A device includes an image data receiving component, a vegetation index generation component, a spatial structure variance generation component, a classification component and a water budget component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a vegetation index based on the received multiband image data. The spatial structure variance generation component generates a spatial structure variance image band based on the received multiband image data. The classification component generates a land cover classification based on the received multiband image data, the vegetation index and the spatial structure variance image band. The water budget component generates a water budget of a portion of the geographic region based on the land cover classification.

System and method for managing water

A device includes an image data receiving component, a vegetation index generation component, a GLC matrix component, a plurality of classifying components and a voting component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a normalized difference vegetation index based on the received multiband image data. The GLC matrix component generates a grey level co-occurrence matrix image band based on the received multiband image data. The classifying components generate land cover classifications based on the received multiband image data, the normalized difference vegetation index and the grey level co-occurrence matrix image band. The voting component generates a final land cover classification based a majority vote of the land cover classifications.

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Arlington, VA, United States of America

Jonathan Fentzke