FLUID INFLOW CHARACTERIZATION USING HYBRID DAS/DTS MEASUREMENTS

    公开(公告)号:US20210115786A1

    公开(公告)日:2021-04-22

    申请号:US17071021

    申请日:2020-10-15

    Applicant: Lytt Limited

    Abstract: A method of determining fluid inflow rates within a wellbore comprises determining a plurality of temperature features from a distributed temperature sensing signal originating in a wellbore, determining one or more frequency domain features from an acoustic signal originating the wellbore, and using at least one temperature feature of the plurality of temperature features and at least one frequency domain feature of the one or more frequency domain features to determine a fluid inflow rate at one or more locations along the wellbore.

    INFLOW DETECTION USING DTS FEATURES

    公开(公告)号:US20210115785A1

    公开(公告)日:2021-04-22

    申请号:US17071031

    申请日:2020-10-15

    Applicant: Lytt Limited

    Abstract: A method of determining fluid inflow locations comprises determining a plurality of temperature features from a distributed temperature sensing signal originating in a wellbore, using the plurality of temperature features in a fluid inflow identification model, and determining the presence of fluid inflow at one or more locations along the wellbore based on an output from the fluid inflow identification model.

    EVENT MODEL TRAINING USING IN SITU DATA
    6.
    发明公开

    公开(公告)号:US20230206119A1

    公开(公告)日:2023-06-29

    申请号:US17925575

    申请日:2020-06-18

    Applicant: LYTT LIMITED

    CPC classification number: G06N20/00

    Abstract: A method of identifying events comprises obtaining a first set of measurements comprising a first signal of field data at a location; identifying one or more events at the location using the first set of measurements; obtaining a second set of measurements comprising a second signal at the location, wherein the first signal and the second signal represent at least one different physical measurements; training one or more event models using the second set of measurements and the identification of the one or more events as inputs; and using the one or more event models to identify at least one additional event at one or more locations.

    EVENT MODEL TRAINING USING IN SITU DATA
    7.
    发明公开

    公开(公告)号:US20230169369A1

    公开(公告)日:2023-06-01

    申请号:US18159658

    申请日:2023-01-25

    Applicant: Lytt Limited

    CPC classification number: G06N5/04 E21B47/00 G06N20/00 E21B2200/20

    Abstract: A method of identifying events within a wellbore comprises obtaining a first set of measurements of a first signal within a wellbore, identifying one or more events within the wellbore using the first set of measurements, obtaining a second set of measurements of a second signal within the wellbore, wherein the first signal and the second signal represent different physical measurements, training one or more event models using the second set of measurements and the identification of the one or more events as inputs, and using the one or more event models to identify at least one additional event within the wellbore.

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