MACHINE LEARNING WORKFLOW TO PREDICT SANDING EVENTS

    公开(公告)号:US20240303399A1

    公开(公告)日:2024-09-12

    申请号:US18546132

    申请日:2022-02-11

    Inventor: Mustafa Can Kara

    CPC classification number: G06F30/27

    Abstract: An unsupervised machine-learning model is trained using historical operation characteristics of a well. Operation characteristics of the well for a duration of time is reconstructed by the unsupervised machine-learning model. Whether a sanding event will occur in the future at the well is predicted based on the difference between the operation characteristics of the well and the reconstructed operation characteristics of the well.

    SYSTEM AND METHOD FOR ASPHALTENE ANOMALY PREDICTION

    公开(公告)号:US20230274153A1

    公开(公告)日:2023-08-31

    申请号:US18311884

    申请日:2023-05-03

    Inventor: Mustafa Can Kara

    CPC classification number: G06N3/088 G06N3/0455

    Abstract: An unsupervised machine-learning model is trained using historical operation characteristics of a well. Operation characteristics of the well for a duration of time is reconstructed by the unsupervised machine-learning model. Whether an asphaltene anomaly will occur in the future at the well is predicted based on the difference between the operation characteristics of the well and the reconstructed operation characteristics of the well.

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