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公开(公告)号:US11600272B2
公开(公告)日:2023-03-07
申请号:US16946868
申请日:2020-07-09
Applicant: Schlumberger Technology Corporation
Inventor: Atul Sureka
Abstract: A computer-implemented method for facilitating navigation of an oil-gas domain application using a virtual assistant integrated within the oil-gas domain application includes generating a trained model for responding to utterances received from a user via a virtual assistant integrated within an oil-gas domain application. The trained model links the utterances to respective actions and responses; receiving a user utterance via the virtual assistant integrated within the oil-gas domain application. The method further includes determining a response to the user utterance using the trained model, wherein the response is associated with performing an action within the oil-gas domain application; and providing the response to the virtual assistant to cause the virtual assistant to execute the action within the oil-gas domain application.
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公开(公告)号:US12026526B2
公开(公告)日:2024-07-02
申请号:US17597294
申请日:2020-07-08
Applicant: Schlumberger Technology Corporation
Inventor: Atul Sureka
IPC: G06F9/451 , E21B47/00 , G06F3/04817 , G06F3/04842
CPC classification number: G06F9/451 , E21B47/00 , G06F3/04817 , G06F3/04842 , E21B2200/20
Abstract: A method includes accessing a first well header dataset from a first repository; accessing a second well header dataset from a second repository; identifying matches and mismatches between data within the first well header dataset and data within the second well header dataset using information identifying different formats of the first well header dataset and the second well header dataset; and presenting, within a mapping interface, graphical representations of the matches and mismatches between the data within the first well header dataset and the data within the second well header dataset in a mapping interface.
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公开(公告)号:US20240401465A1
公开(公告)日:2024-12-05
申请号:US18687878
申请日:2022-09-02
Applicant: Schlumberger Technology Corporation
Inventor: Atul Sureka
IPC: E21B47/003 , G06F3/04817 , G06Q30/0201 , G06T11/20 , G06T17/05
Abstract: The one or more embodiments provide for a method. The method includes receiving a command to cluster, on an interactive geographical map displayed in a graphical user interface (GUI), objects, each object having a corresponding geographic location defined on the interactive geographical map and property values of properties. The method also includes generating cluster visualizations. Generating the cluster visualizations includes clustering, at least according to the corresponding geographic location, the objects into clusters. Generating also includes creating a corresponding cluster visualization for each corresponding cluster of the clusters. For at least one cluster visualization, the corresponding cluster visualization is created according to a property value of a property, of the properties, of at least some of the objects in the corresponding cluster. The method also includes displaying the cluster visualizations on the interactive geographical map in the GUI.
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公开(公告)号:US20210012774A1
公开(公告)日:2021-01-14
申请号:US16946868
申请日:2020-07-09
Applicant: Schlumberger Technology Corporation
Inventor: Atul Sureka
Abstract: A computer-implemented method for facilitating navigation of an oil-gas domain application using a virtual assistant integrated within the oil-gas domain application includes generating a trained model for responding to utterances received from a user via a virtual assistant integrated within an oil-gas domain application. The trained model links the utterances to respective actions and responses; receiving a user utterance via the virtual assistant integrated within the oil-gas domain application. The method further includes determining a response to the user utterance using the trained model, wherein the response is associated with performing an action within the oil-gas domain application; and providing the response to the virtual assistant to cause the virtual assistant to execute the action within the oil-gas domain application.
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