SYSTEM FOR OFFSITE NAVIGATION
    1.
    发明申请

    公开(公告)号:US20220157167A1

    公开(公告)日:2022-05-19

    申请号:US17535236

    申请日:2021-11-24

    Abstract: A method including generating, by a navigation service, a route for navigating from a route origin to a route destination using a private roads repository. The method includes identifying a ghost origin and a ghost destination of a ghost road along the route. The method includes sending, using an application programming interface of a base roads engine, a first request for a route from the ghost origin to the ghost destination. The method includes receiving, from the base roads engine in response to the first request, a replacement section from the ghost origin to the ghost destination. The method includes replacing, in the route, the ghost road with the replacement section to create an updated route including segments. The method includes generating an estimated travel time from the route origin to the route destination over the segments of the updated route. The method includes presenting the estimated travel time.

    System for Offsite Navigation
    6.
    发明申请

    公开(公告)号:US20200370901A1

    公开(公告)日:2020-11-26

    申请号:US16878524

    申请日:2020-05-19

    Abstract: A navigation service generates a route for navigating from a route origin to a route destination using a private roads repository. A ghost road is along the route, and a ghost origin and a ghost destination of the ghost road is identified. Using an application programming interface of a base roads engine, a request for a route is sent from the ghost origin to the ghost destination. From the base roads engine and in response to the request, a replacement section from the ghost origin to the ghost destination is received. The ghost road is replaced with the replacement section to create an updated route, which is presented.

    RAPID REGION WIDE PRODUCTION FORECASTING

    公开(公告)号:US20220092617A1

    公开(公告)日:2022-03-24

    申请号:US17310185

    申请日:2020-01-24

    Abstract: A method for rapid region wide production forecasting includes identifying base data of a well in a plurality of wells of a region; selecting, using the base data and from a set of a models comprising a rich machine learning model, a location based machine learning model, and a decline curve model, a well model; and generating, based on the selecting, a forecasted production of the well using the base data and the well model. The method further includes aggregating a plurality of forecasted productions of the plurality of wells, the plurality of forecasted productions including the forecasted production, to generate a region forecast using the rich machine learning model, the location based machine learning model, and the decline curve model; and presenting the region forecast.

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