EXPERT GUIDED KNOWLEDGE ACQUISITION SYSTEM FOR ANALYZING SEISMIC DATA

    公开(公告)号:US20170254910A1

    公开(公告)日:2017-09-07

    申请号:US15061800

    申请日:2016-03-04

    CPC classification number: G01V1/302 G01V1/301 G01V2210/64 G01V2210/641

    Abstract: A method includes retrieving a seismic data set, receiving training data that includes one or more seed points of an identified geobody, determining a geobody trajectory of the identified geobody, based on the one or more seed points of the identified geobody, displaying the geobody trajectory, receiving inputs expanding the geobody trajectory, shrinking the geobody trajectory, confirming the geobody trajectory, or a combination thereof, training a classification algorithm using the geobody trajectory, running the classification algorithm on the seismic data set, receiving an output of one or more sets of voxels from the classification algorithm, skeletonizing the one or more sets of voxels to present the one or more sets of voxels as a set of possible geobody trajectories, and retraining the classification algorithm based on feedback received from a reviewer.

    Recoater automated monitoring systems and methods for additive manufacturing machines

    公开(公告)号:US11407179B2

    公开(公告)日:2022-08-09

    申请号:US16359031

    申请日:2019-03-20

    Abstract: A system monitoring an additive manufacturing (AM) machine recoat operation includes an automatic defect recognition subsystem having a predictive model catalog each applicable to a product and to one recoat error indication having a domain dependent feature, the predicative models representative of a recoat error indication appearance at a pixel level of an image captured during recoat operations. The system includes an online monitoring subsystem having an image classifier unit that classifies recoat error indications at the pixel level based on predictive models selected on their metadata, a virtual depiction unit that creates a virtual depiction of an ongoing AM build from successive captured image, and a processor unit to monitor the build for recoat error indications, classify a detected indication, and provide a determination regarding the severity of the detected indication on the ongoing build. A method and a non-transitory computer-readable medium are also disclosed.

    Expert guided knowledge acquisition system for analyzing seismic data

    公开(公告)号:US10036820B2

    公开(公告)日:2018-07-31

    申请号:US15061800

    申请日:2016-03-04

    CPC classification number: G01V1/302 G01V1/301 G01V2210/64 G01V2210/641

    Abstract: A method includes retrieving a seismic data set, receiving training data that includes one or more seed points of an identified geobody, determining a geobody trajectory of the identified geobody, based on the one or more seed points of the identified geobody, displaying the geobody trajectory, receiving inputs expanding the geobody trajectory, shrinking the geobody trajectory, confirming the geobody trajectory, or a combination thereof, training a classification algorithm using the geobody trajectory, running the classification algorithm on the seismic data set, receiving an output of one or more sets of voxels from the classification algorithm, skeletonizing the one or more sets of voxels to present the one or more sets of voxels as a set of possible geobody trajectories, and retraining the classification algorithm based on feedback received from a reviewer.

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