REAL-TIME DRILLING OPTIMIZATION IN A METAVERSE SPACE

    公开(公告)号:US20240070344A1

    公开(公告)日:2024-02-29

    申请号:US17821660

    申请日:2022-08-23

    CPC classification number: G06F30/20 G06F40/40 G06T15/00 G06F2111/18

    Abstract: A system can be used for optimizing a wellbore operation via a metaverse space that can include one or more avatars. The system can provide access to the metaverse space for an entity. The metaverse space can be a computer-generated representation of a location relating to a wellbore operation. The system can receive, via an avatar in the metaverse space, a query from the entity relating to the wellbore operation. The avatar can include software applications for performing tasks in the metaverse space. The system can execute, via the avatar, a request to a micro-service for at least one solution parameter based on the query. The request can cause the micro-service to generate the at least one solution parameter. The system can receive the at least one solution parameter from the micro-service. The system can output the at least one solution parameter for adjusting the wellbore operation.

    TRAJECTORY TRACKING AND OPTIMIZATION FOR DRILLING AUTOMATION

    公开(公告)号:US20240068350A1

    公开(公告)日:2024-02-29

    申请号:US17895746

    申请日:2022-08-25

    CPC classification number: E21B44/005 E21B7/04 E21B2200/22

    Abstract: Processes to receive user input parameters and system input parameters associated with a borehole undergoing active drilling operations to continually update drilling directions with wholistically applied optimizations to bring the actual borehole trajectory closer to the planned borehole trajectory. The processes can project ahead of the drilling assembly to determine the actual trajectory of the borehole and generate corrections to reduce the gap between the actual and planned trajectory paths. Various optimizations can be applied to the corrections to avoid overstressing systems or reducing the borehole productivity. Conflicts between optimizations can be resolved using a weighting or ranking system. More than one set of corrections can be determined and a user or a machine learning system can be used to select the one set of corrections to use as the results to be communicated and applied to the drilling operation plan or a borehole system, such as a geo-steering system.

    Trajectory tracking and optimization for drilling automation

    公开(公告)号:US12203356B2

    公开(公告)日:2025-01-21

    申请号:US17895746

    申请日:2022-08-25

    Abstract: Processes to receive user input parameters and system input parameters associated with a borehole undergoing active drilling operations to continually update drilling directions with wholistically applied optimizations to bring the actual borehole trajectory closer to the planned borehole trajectory. The processes can project ahead of the drilling assembly to determine the actual trajectory of the borehole and generate corrections to reduce the gap between the actual and planned trajectory paths. Various optimizations can be applied to the corrections to avoid overstressing systems or reducing the borehole productivity. Conflicts between optimizations can be resolved using a weighting or ranking system. More than one set of corrections can be determined and a user or a machine learning system can be used to select the one set of corrections to use as the results to be communicated and applied to the drilling operation plan or a borehole system, such as a geo-steering system.

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