Systems and Methods for Training a Well Model to Predict Material Loss for a Pipe String Within a Borehole

    公开(公告)号:US20210116599A1

    公开(公告)日:2021-04-22

    申请号:US17006110

    申请日:2020-08-28

    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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