MACHINE LEARNING MODEL FOR IDENTIFYING SURFACES IN A TUBULAR

    公开(公告)号:US20220215526A1

    公开(公告)日:2022-07-07

    申请号:US17540251

    申请日:2021-12-02

    Abstract: A method and instruction memory for processing acoustic images of a tubular to determine the surface of the tubular. The images may be acquired by an acoustic logging tool deployed into a pipe or well. A Machine Learning model is trained to recognize regions of the acoustic images that are internal to the tubular or not, in order to determine surface pixels. The surface pixels may be rendered to create visualizations of the tubular where noise and non-surface features are filtered out automatically.

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