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公开(公告)号：US20250013435A1
公开(公告)日：2025-01-09
申请号：US18348305
申请日：2023-07-06
Applicant: Chevron U.S.A. Inc.
Inventor： Larry A. Bowden, JR.
Abstract: A system for generating and delivering a digital product is described including one or more processors; non-transitory computer readable media; and one or more programs including instructions that when executed by the one or more processors cause the system to receive a list of roles and desired features for the digital product; provide the list to a large language model (LLM) configured to summarize actions for each role based on the desired features; generate a set of instructions for each action for each role; and generate content for each set of instructions.
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公开(公告)号：US20220277220A1
公开(公告)日：2022-09-01
申请号：US17189004
申请日：2021-03-01
Applicant: CHEVRON U.S.A. INC.
Inventor： Mohamed Ibrahim Mohamed , Larry A. Bowden, JR. , Xin Feng
Abstract: Multiple sets of documents for different domains may be used to train multiple domain-specific models. A graph model may be generated to include nodes representing concepts included within the domain-specific models. A white space not including any nodes within the graph model may be identified. Analysis of the white space may be performed based on two or more nodes at periphery of the white space. Words/documents that cover the white space may be generated. Novelty of concepts may be readily assessed using the graph model/white space.
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公开(公告)号：US20240110878A1
公开(公告)日：2024-04-04
申请号：US18479566
申请日：2023-10-02
Applicant: Chevron U.S.A. Inc.
Inventor： Nikolaos Ioannis Salmatanis , Tyrone Jenkins , Larry A. Bowden, JR.
IPC: G01N21/88
CPC classification number: G01N21/8851 , G01N2021/8877 , G01N2021/8887
Abstract: Fluid leak observations made by different types of sensors are combined to detect fluid leaks at a fluid facility. Separate fluid leak observations made by different types of sensors are reconciled using a Bayesian model. The Bayesian model outputs likelihoods of different fluid leak probabilities, and the likelihoods of different fluid leak probabilities are used to facilitate operations at the fluid facility.
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公开(公告)号：US20240110840A1
公开(公告)日：2024-04-04
申请号：US18479492
申请日：2023-10-02
Applicant: Chevron U.S.A. Inc.
Inventor： Nikolaos Ioannis Salmatanis , Tyrone Jenkins , Larry A. Bowden, JR.
CPC classification number: G01M3/04 , G06T7/62 , G06T7/97 , G06V10/273 , G06T2207/10048
Abstract: Infrared images of a fluid facility are captured to detect, localize, and quantify fluid leaks with confidence at the fluid facility. Changes in pixel values for a fluid leak, which reflect changes in temperature due to the fluid leak, are used to quantify the fluid leak. The location of the fluid leak is identified using the setup of the infrared camera and the fluid leak captured within the infrared images. A dispersion of the fluid leak is calculated and presented to show the path of the fluid leak.
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公开(公告)号：US20220277032A1
公开(公告)日：2022-09-01
申请号：US17188774
申请日：2021-03-01
Applicant: Chevron U.S.A. Inc.
Inventor： Mohamed Ibrahim Mohamed , Larry A. Bowden, JR. , Xin Feng
IPC: G06F16/332 , G06N20/00 , G06N5/02
Abstract: Keywords obtained from a user and/or extracted from uploaded document(s) may be used to generate potential keywords. Documents may be identified based on the keywords and the potential keywords accepted by the user. A knowledge graph model representing the identified documents may be generated. The knowledge graph model may include document nodes representing the identified document and a search node representing the keywords. The relative position of the document nodes with respect to the search node may represent similarity between the corresponding documents and the keywords.
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Patent Agency Ranking
公开(公告)号：US20210312311A1
公开(公告)日：2021-10-07
申请号：US16837774
申请日：2020-04-01
Applicant: Chevron U.S.A. Inc.
Inventor： Larry A. Bowden, JR. , Juan Esteban E. Montero , Shuxing Cheng , Adam M. Reeder , Xin Feng , Steven R. Szabo
IPC: G06N7/00 , G06F16/901 , G06F30/17 , G06F30/20 , G06N20/00
Abstract: A requirements knowledge graph may include nodes for different elements of a requirement's relationship to physical characteristics, such as the requirement and the associated unsafe conditions, control objects, and hazards. A connection between nodes may define a relationship between the corresponding elements. The requirement, that is decomposed into a subject, an object, a predicate, and a context, may define a rule for the control object in the unsafe condition to avoid the hazard. A model for a plan (e.g., drilling plan for a well, design for a drilling tool) may be constructed based on the requirements knowledge graph. The plan may be generated based on the model.
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公开(公告)号：US20250013965A1
公开(公告)日：2025-01-09
申请号：US18348302
申请日：2023-07-06
Applicant: Chevron U.S.A. Inc.
Inventor： Larry A. Bowden, JR.
IPC: G06Q10/0639 , G06Q10/0631
Abstract: A system is described for using large language models for labor upskilling. The system includes the steps of identifying required skills, generating personalized training materials based on the learners' existing knowledge and skills, and evaluating the effectiveness of the training materials. This system can be applied to both hard skills and soft skills.
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公开(公告)号：US20240403672A1
公开(公告)日：2024-12-05
申请号：US18328436
申请日：2023-06-02
Applicant: Chevron U.S.A. Inc.
Inventor： Larry A. Bowden, JR. , Nikolaos Ioannis Salmatanis , Tyrone Jenkins
Abstract: Fluid leak observations made by different types of sensors are collected by an edge device. The edge device generates a graph model to represent the fluid leak observations made by different types of sensors. The graph model is provided by the edge device to a remote device for fluid leak detection at the fluid facility.
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9.发明公开公开(公告)号：US20240212318A1
公开(公告)日：2024-06-27
申请号：US18069880
申请日：2022-12-21
Applicant: Chevron U.S.A. Inc.
Inventor： Larry A. Bowden, JR. , James Geoffrey Price , Daniel Stephen Sauceda
IPC: G06V10/764 , G06V20/17
CPC classification number: G06V10/764 , G06V20/17
Abstract: A method is described for automatic creation of image classifiers using unannotated data. The method may include receiving a CLIP model configured to generate images from text; using the CLIP model to generate images of pump jacks and images of oil pools; providing the training pairs comprising the images of pump jacks and the text “pump jack” and the images of oil pools and the text “oil pool” to a classification model; and training the classification model using the training pairs for contrastive learning to generate a refined model. The refined model may be used to classify images provided by drones to identify possible oil pools. The method is executed by a computer system.
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公开(公告)号：US20200341974A1
公开(公告)日：2020-10-29
申请号：US16395189
申请日：2019-04-25
Applicant: Chevron U.S.A. Inc.
Inventor： Larry A. Bowden, JR. , Esteban Montero
IPC: G06F16/242 , G06F17/27 , G06F16/2457
Abstract: Document information may define words, key groups of words, and sets of context words within a document. Word feature scores for words within the document may be generated. Key group feature scores for individual key groups of words may be generated based on aggregation of word feature scores the words within the individual key groups of words and word feature scores for words within corresponding sets of context words. A document feature score for the document may be generated based on aggregation of word feature scores for words within the document. The key group feature scores and the document feature score may enable context-sensitive searching of words/word vectors in the document.
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