FORMATION-CUTTING ANALYSIS SYSTEM FOR DETECTING DOWNHOLE PROBLEMS DURING A DRILLING OPERATION

    公开(公告)号:US20220381132A1

    公开(公告)日:2022-12-01

    申请号:US17334177

    申请日:2021-05-28

    Abstract: A system is disclosed for detecting a problem associated with a drilling operation based on the properties of a formation cutting. The system can include a camera for generating an image of the formation cutting extracted from a subterranean formation. The system can include one or more sensors for detecting one or more characteristics of the subterranean formation or a well tool. The system can provide the image as input to a first model for determining one or more properties of the formation cutting based on the image. The system can provide the one or more properties and the one or more characteristics as input to a second model for detecting a downhole problem associated with the drilling operation. The system can transmit an alert indicating the downhole problem and optionally a recommended solution to a user.

    Systems and Methods for Training a Well Model to Predict Material Loss for a Pipe String Within a Borehole

    公开(公告)号:US20210116599A1

    公开(公告)日:2021-04-22

    申请号:US17006110

    申请日:2020-08-28

    Abstract: A method for training a well model to predict material loss for a pipe string having a wall thickness and located within a borehole. The method may include measuring the wall thickness of a first pipe string at locations axially along the first pipe string with a logging tool at a first time. The method may also include measuring the wall thickness of the first pipe string at the locations with the logging tool at a second time. The method may further include training a first well model based on a machine learning (“ML”) algorithm to predict a predicted amount of material loss in the future for the first pipe string at a selected location using the wall thickness measurements at the first and second times and well operating condition information related to the first pipe string.

Patent Agency Ranking