SYSTEMS AND METHODS FOR DETERMINING TUBING DEVIATIONS

    公开(公告)号:US20220291413A1

    公开(公告)日:2022-09-15

    申请号:US17200001

    申请日:2021-03-12

    IPC分类号: G01V5/04 G01V5/10

    摘要: A method for determining a tubing deviation from nuclear measurement data includes acquiring neutron measurement data from a wellbore. The method also includes identifying one or more features from the neutron measurement data. The method further includes determining, based at least in part on a pattern matching algorithm, that the one or more features are indicative of a tubular deviation. The method also includes determining, based at least in part on a comparison between the one or more features, a deviation amount.

    Identification of wellbore defects using machine learning systems

    公开(公告)号:US11939858B2

    公开(公告)日:2024-03-26

    申请号:US17116603

    申请日:2020-12-09

    IPC分类号: E21B47/005 G06N20/00

    摘要: A method for identifying defects in a multi-barrier wellbore includes receiving log data, the log data corresponding to one or more wellbore operations, the log data including data from at least one measurement modality corresponding to a present measurement modality. The method also includes training, using the log data, a machine learning model. The method further includes acquiring wellbore data, via the present measurement modality, during a logging operation. The method also includes processing at least a portion of the wellbore data using the trained machine learning model. The method includes identifying one or more features of interest in the wellbore data, via the trained machine learning model.

    IDENTIFICATION OF WELLBORE DEFECTS USING MACHINE LEARNING SYSTEMS

    公开(公告)号:US20220178242A1

    公开(公告)日:2022-06-09

    申请号:US17116603

    申请日:2020-12-09

    IPC分类号: E21B47/005 G06N20/00

    摘要: A method for identifying defects in a multi-barrier wellbore includes receiving log data, the log data corresponding to one or more wellbore operations, the log data including data from at least one measurement modality corresponding to a present measurement modality. The method also includes training, using the log data, a machine learning model. The method further includes acquiring wellbore data, via the present measurement modality, during a logging operation. The method also includes processing at least a portion of the wellbore data using the trained machine learning model. The method includes identifying one or more features of interest in the wellbore data, via the trained machine learning model.

    SOURCE PORT SYSTEM AND METHOD FOR GAMMA RAY SCANNER TOOL

    公开(公告)号:US20230184990A1

    公开(公告)日:2023-06-15

    申请号:US18077808

    申请日:2022-12-08

    IPC分类号: G01V5/12

    CPC分类号: G01V5/12

    摘要: A downhole logging system includes a gamma ray source positioned within a logging tool. The system further includes a collimator associated with the gamma ray source, the collimator having an opening to direct a flow of radiation into the formation. The system also includes a radiation detector operable to detect backscatter radiation from the area. The system further includes a motor to rotate the collimator in either a continuous or stepping fashion for scanning a borehole and an actuator associated with the gamma ray source. The actuator moves the gamma ray source between a first position and a second position, the first position being misaligned with the opening and the second position being aligned with the opening.

    SYSTEM AND METHOD FOR DOWNHOLE GAMMA RAY INSPECTION BEHIND MULTISTRING COMPLETIONS

    公开(公告)号:US20230144478A1

    公开(公告)日:2023-05-11

    申请号:US17982097

    申请日:2022-11-07

    IPC分类号: G01V5/12 E21B47/005

    CPC分类号: G01V5/12 E21B47/005

    摘要: A method for identifying a defect within a cement layer of a multi string wellbore includes deploying a gamma scanner into the multistring wellbore, the gamma scanner including at least one source and at least one detector, the at least one source emitting radiation into the multistring wellbore and the at least one detector receiving backscatter radiation. The method also includes obtaining, from the gamma scanner, a count rate associated with at least one region of interest of the multistring wellbore. The method further includes identifying, based at least in part on data acquired from the gamma scanner, a background profile for the multistring wellbore. The method includes removing the background profile from the count rate. The method further includes identifying, within the at least one region of interest, a defect within the cement layer.

    Systems and methods for determining tubing deviations

    公开(公告)号:US11668851B2

    公开(公告)日:2023-06-06

    申请号:US17200001

    申请日:2021-03-12

    IPC分类号: G01V5/10 G01V5/04

    CPC分类号: G01V5/045 G01V5/108

    摘要: A method for determining a tubing deviation from nuclear measurement data includes acquiring neutron measurement data from a wellbore. The method also includes identifying one or more features from the neutron measurement data. The method further includes determining, based at least in part on a pattern matching algorithm, that the one or more features are indicative of a tubular deviation. The method also includes determining, based at least in part on a comparison between the one or more features, a deviation amount.

    System and method for a downhole gamma ray instrument

    公开(公告)号:US11067716B2

    公开(公告)日:2021-07-20

    申请号:US16727109

    申请日:2019-12-26

    IPC分类号: G01V5/12

    摘要: A downhole logging tool includes a radiation generation source operable to emit radiation into a formation surrounding the tool and a radiation detector operable to detect backscattered radiation from the formation surrounding the tool. The tool also includes a sleeve positioned around the radiation generation source, the sleeve including at least one aperture for forming a pathway for a radiation beam, emitted from the radiation generation source, to enter the formation, the sleeve being rotatable about an axis of the tool to change a position of the aperture to distinctly inspect different regions of the formation.