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公开(公告)号:US12000976B2
公开(公告)日:2024-06-04
申请号:US17006110
申请日:2020-08-28
Applicant: Landmark Graphics Corporation
Inventor: Sebastian Kroczka , Welton Danniel Souza , Chafaa Badis
IPC: G01V20/00 , E21B47/085 , G01V1/40 , G06F30/27 , G06F113/08 , G06F113/14 , G06N20/00
CPC classification number: G01V20/00 , E21B47/085 , G01V1/40 , G06F30/27 , G06N20/00 , E21B2200/20 , G06F2113/08 , G06F2113/14
Abstract: A method for training a well model to predict material loss for a pipe string having a wall thickness and located within a borehole. The method may include measuring the wall thickness of a first pipe string at locations axially along the first pipe string with a logging tool at a first time. The method may also include measuring the wall thickness of the first pipe string at the locations with the logging tool at a second time. The method may further include training a first well model based on a machine learning (“ML”) algorithm to predict a predicted amount of material loss in the future for the first pipe string at a selected location using the wall thickness measurements at the first and second times and well operating condition information related to the first pipe string.
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公开(公告)号:US11795812B2
公开(公告)日:2023-10-24
申请号:US17075166
申请日:2020-10-20
Applicant: Landmark Graphics Corporation
Inventor: Sebastian Kroczka , Welton Danniel Souza , Chafaa Badis , Kashyap Choksey , John Maida
IPC: E21B29/10 , G01N21/952 , E21B47/10 , E21B47/00
CPC classification number: E21B47/10 , E21B47/006
Abstract: A well system includes a fiber-optic cable positionable downhole along a length of a wellbore. The well system further includes an opto-electrical interface to communicatively couple to the fiber-optic cable to monitor a gas released from a well element within the wellbore. Further, the well system includes a processing device and a memory device that includes instructions executable by the processing device. The instructions cause the processing device to detect hydrogen absorption by the fiber-optic cable within the wellbore and determining a location of deterioration of the well element using the detected hydrogen absorption by the fiber-optic cable.
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公开(公告)号:US20210222540A1
公开(公告)日:2021-07-22
申请号:US17075166
申请日:2020-10-20
Applicant: Landmark Graphics Corporation
Inventor: Sebastian Kroczka , Welton Danniel Souza , Chafaa Badis , Kashyap Choksey , John Maida
IPC: E21B47/00 , E21B47/07 , E21B29/10 , G01N21/952
Abstract: A well system includes a fiber-optic cable positionable downhole along a length of a wellbore. The well system further includes an opto-electrical interface to communicatively couple to the fiber-optic cable to monitor a gas released from a well element within the wellbore. Further, the well system includes a processing device and a memory device that includes instructions executable by the processing device. The instructions cause the processing device to detect hydrogen absorption by the fiber-optic cable within the wellbore and determining a location of deterioration of the well element using the detected hydrogen absorption by the fiber-optic cable.
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公开(公告)号:US11808135B2
公开(公告)日:2023-11-07
申请号:US17075526
申请日:2020-10-20
Applicant: Landmark Graphics Corporation
Inventor: Sebastian Kroczka , Welton Danniel Souza , Chafaa Badis , Kashyap Choksey , Yoann Santin
IPC: E21B47/002 , G01V8/02 , H04N7/18 , E21B47/12 , E21B33/13
CPC classification number: E21B47/002 , E21B47/12 , G01V8/02 , H04N7/183 , E21B33/13 , E21B2200/22
Abstract: Systems and methods to perform an automated downhole inspection in real-time are disclosed. A method to perform the downhole inspection includes deploying a camera and a logging tool downhole. The method also includes obtaining real-time transmissions of images from the camera. The method further includes obtaining real-time transmissions of data from the logging tool. The method further includes determining a presence of a downhole anomaly based on the real-time transmissions of images and the real-time transmissions of data.
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公开(公告)号:US20210116599A1
公开(公告)日:2021-04-22
申请号:US17006110
申请日:2020-08-28
Applicant: Landmark Graphics Corporation
Inventor: Sebastian Kroczka , Welton Danniel Souza , Chafaa Badis
Abstract: A method for training a well model to predict material loss for a pipe string having a wall thickness and located within a borehole. The method may include measuring the wall thickness of a first pipe string at locations axially along the first pipe string with a logging tool at a first time. The method may also include measuring the wall thickness of the first pipe string at the locations with the logging tool at a second time. The method may further include training a first well model based on a machine learning (“ML”) algorithm to predict a predicted amount of material loss in the future for the first pipe string at a selected location using the wall thickness measurements at the first and second times and well operating condition information related to the first pipe string.
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