ABNORMAL PRESSURE DETECTION USING ONLINE BAYESIAN LINEAR REGRESSION

    公开(公告)号:US20240303398A1

    公开(公告)日:2024-09-12

    申请号:US18261306

    申请日:2022-01-17

    CPC classification number: G06F30/27 E21B21/08 E21B47/04 E21B2200/20

    Abstract: A method and a processing device are provided for predicting standpipe pressure. A Bayesian linear regressor is initialized. Priors for the Bayesian linear regressor are initialized based on previous drilling operations that used a same bottom hole assembly. Measurement data associated with drilling a well is received in real time. An online Bayesian linear regressor update is generated using QR decomposition for a model. Responsive to determining that at least some coefficients violate physical rules, the at least some of the coefficients are set to a respective default value that is either zero or a positive value. Coefficients and uncertainty are updated based on at least one of the online Bayesian linear regressor update and the setting of at least some of the coefficients. The model is then visualized. Visualization helps a user identify whether the learned model makes sense.

    Anti-collision well trajectory design

    公开(公告)号:US12276189B2

    公开(公告)日:2025-04-15

    申请号:US17597424

    申请日:2020-07-07

    Abstract: Techniques for determining trajectories for a plurality of wells while avoiding collision between wells are presented. The techniques can include determining a zone of uncertainty for individual wells of the plurality of wells, determining a minimum separation factor for individual wells of the plurality of wells, determining a gradient of a separation factor for at least one pair of wells of the plurality of pairs of wells, updating a nudge position for at least one well, and providing nudge positions for the individual wells of the plurality of wells.

    ANTI-COLLISION WELL TRAJECTORY DESIGN

    公开(公告)号:US20220268147A1

    公开(公告)日:2022-08-25

    申请号:US17597424

    申请日:2020-07-07

    Abstract: Techniques for determining trajectories for a plurality of wells while avoiding collision between wells are presented. The techniques can include determining a zone of uncertainty for individual wells of the plurality of wells, determining a minimum separation factor for individual wells of the plurality of wells, determining a gradient of a separation factor for at least one pair of wells the plurality of pairs of wells, updating a nudge position for at least one well, and providing nudge positions for the individual wells of the plurality of wells.

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