WELLHEAD FATIGUE PREDICTION VIA INTERPOLATION USING CLUSTERED MACHINE LEARNING MODELS AND EXTRAPOLATION USING CLUSTER CENTERS

    公开(公告)号:US20240427968A1

    公开(公告)日:2024-12-26

    申请号:US18338972

    申请日:2023-06-21

    Abstract: Metocean conditions for a wellhead, such as current profile and wave characteristics, are used to determine wellhead fatigue damage rate for the wellhead. The wellhead fatigue damage rate is determined using an interpolation approach or an extrapolation approach. In the interpolation approach, the metocean conditions of the wellhead are input into one of multiple clustered machine learning models to determine the wellhead fatigue damage rate. In the extrapolation approach, a curve is generated to fit cluster centers of the multiple clustered machine learning models, and the wellhead fatigue damage rate is determined based on the curve and the distance between the metocean conditions of the wellhead and null metocean conditions.

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