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公开(公告)号:US20250052147A1
公开(公告)日:2025-02-13
申请号:US18720793
申请日:2023-01-30
Applicant: Schlumberger Technology Corporation
Inventor: Prashanth Pillai , Maurice Ringer , Purnaprajna Mangsuli , Vladimir Skvortsov
Abstract: A method includes receiving historical well data comprising trajectories, performance data, and one or more drilling parameters for a plurality of wells, clustering at least a portion of the plurality of wells into a plurality of clusters based on the trajectories, using a machine learning model, receiving trajectory data for a subject well, identifying one of the clusters based on the trajectory data of the subject well, using the machine learning model, selecting one or more of the plurality of wells, or one or more sections thereof, in the cluster that was identified based on the performance data associated with the one or more of the plurality of wells or the portion thereof, and visualizing the selected one or more of the plurality of wells or one or more sections thereof.