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    FIT-FOR-BASIN CONTINUOUS MACHINE LEARNING FOR WELL INTEGRITY
    7.
    发明公开
    FIT-FOR-BASIN CONTINUOUS MACHINE LEARNING FOR WELL INTEGRITY 审中-公开

    公开(公告)号：EP4394659A1

    公开(公告)日：2024-07-03

    申请号：EP23307404.6

    申请日：2023-12-28

    申请人： Services Pétroliers Schlumberger ,  GeoQuest Systems B.V.

    发明人： BENSLIMANE, Salma ,  ZHANG, Xiaolin

    IPC分类号： G06N3/0464 ,  G06N3/091

    CPC分类号： G06N3/091 ,  G06N3/0464

    摘要： Systems and methods of the present disclosure include a fit-for-basin strategy to automate continuous learning for machine learning models to be integrated into webbased and cloud-based software. For example, a method includes training a machine learning (ML) model to create a trained ML model that is configured to output well prediction results based on datasets specific to respective wells; deploying the trained ML model to a cloud-based application; providing a data label module to a computing system associated with an end user; receiving, via the cloud-based application, a training dataset specific to a well, wherein the training dataset comprises data labeling generated by the end user via the data label module; re-training, via the cloud-based application, the trained ML model using the training dataset to generate a plurality of re-trained ML model candidates; automatically evaluating, via the cloud-based application, the plurality of re-trained ML model candidates to generate a recommended re-trained ML model; and outputting, from the cloud-based application, well prediction results and the recommended re-trained ML model to the computing system associated with the end user.