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    System and method for estimation of rock properties from core images
    2.
    发明授权
    System and method for estimation of rock properties from core images 有权

    公开(公告)号：US11320357B2

    公开(公告)日：2022-05-03

    申请号：US16724830

    申请日：2019-12-23

    Applicant: Chevron U.S.A. Inc.

    Inventor： Paul Duke ,  Bo Gong ,  Paul Hart

    IPC: G01N15/08 ,  G06T7/30 ,  G06T3/40

    Abstract: A method is described for training a model that refines estimated parameter values within core images is disclosed. The method includes receiving multiple training image pairs wherein each training image pair includes: (i) an unrefined core image of a rock sample to be used for estimating rock properties, and (ii) a refined core image of the same rock sample; generating a training dataset from the multiple training image pairs; receiving an initial core model; generating a conditioned core model by training, using the multiple training image pairs, the initial core model; and storing the conditioned core model in electronic storage. The conditioned core model may be applied to an initial target core image data set to generate a refined target sore image dataset. The method may be executed by a computer system.

    CLASSIFICATION OF CHARACTER STRINGS USING MACHINE-LEARNING
    3.
    发明申请
    CLASSIFICATION OF CHARACTER STRINGS USING MACHINE-LEARNING 审中-公开

    公开(公告)号：US20190080164A1

    公开(公告)日：2019-03-14

    申请号：US16131946

    申请日：2018-09-14

    Applicant: CHEVRON U.S.A. INC.

    Inventor： Paul Duke ,  Shuxing Cheng

    IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62

    Abstract: Systems and methods for categorizing patterns of characters in a document by utilizing machine based learning techniques include generating character classification training data, building a character classification model based on the character classification training data; obtaining an image that includes a pattern of characters, the characters including one or more contours, applying the character classification model to the image to classify the contours, and applying the labels to clusters of the contours.

    Classification of piping and instrumental diagram information using machine-learning
    5.
    发明授权
    Classification of piping and instrumental diagram information using machine-learning 有权

    公开(公告)号：US11195007B2

    公开(公告)日：2021-12-07

    申请号：US16376827

    申请日：2019-04-05

    Applicant: CHEVRON U.S.A. INC.

    Inventor： Paul Duke ,  Shuxing Cheng

    IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62 ,  G06N20/10 ,  G06N5/00 ,  G06N20/20

    Abstract: Systems and methods for identifying patterns of symbols in standardized system diagrams are disclosed. Disclosed implementations obtain or synthetically generate a symbol recognition training data set including multiple training images, generate a symbol recognition model based on the symbol recognition training data set, obtain an image comprising a pattern of symbols, group symbols into process loops based on the logical relationships captured by process loop identification algorithm, apply a character classification model to image contours to identify the characters and group characters into tags via hierarchical clustering, and store the identified tags, symbols and identified process loops in a relational database.

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