-
公开(公告)号：US20170254910A1
公开(公告)日：2017-09-07
申请号：US15061800
申请日：2016-03-04
Inventor： Ali Can , Erhan Bas , Dongrui Wu , Jie Yu , Leslie Wahrmund
IPC: G01V1/30
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.
-
Patent Agency Ranking
公开(公告)号：US20170178308A1
公开(公告)日：2017-06-22
申请号：US14977253
申请日：2015-12-21
Applicant: General Electric Company
Inventor： Arun Karthi Subramaniyan , Khan Mohamed Khirullah Genghis Khan , Clifford Bueno , Ali Can , Adrian Gabriel Loghin , Jie Yu
CPC classification number: G06T7/001 , G06K9/00208 , G06K9/6212 , G06K9/6214 , G06K2209/19 , G06T7/11 , G06T2207/10081 , G06T2207/30164
Abstract: A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.
-
公开(公告)号：US09297918B2
公开(公告)日：2016-03-29
申请号：US13729769
申请日：2012-12-28
Applicant: General Electric Company
Inventor： Ser Nam Lim , John Robert Hare , Jens Rittscher , Jie Yu , Ya Xue
CPC classification number: G06N99/005 , G01V1/301 , G01V99/00 , G01V2210/64
Abstract: An approach for seismic data analysis is provided. In accordance with various embodiments, the active learning approaches are employed in conjunction with an analysis algorithm that is used to process the seismic data. Algorithms that may employ such active learning include, but are not limited to, ranking algorithms and classification algorithms.
Abstract translation: 提供了一种地震数据分析方法。 根据各种实施例，主动学习方法与用于处理地震数据的分析算法结合使用。 可以采用这种主动学习的算法包括但不限于排序算法和分类算法。
-
公开(公告)号：US20140188769A1
公开(公告)日：2014-07-03
申请号：US13729769
申请日：2012-12-28
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Ser Nam Lim , John Robert Hare , Jens Rittscher , Jie Yu , Ya Xue
IPC: G06N99/00
CPC classification number: G06N99/005 , G01V1/301 , G01V99/00 , G01V2210/64
Abstract: An approach for seismic data analysis is provided. In accordance with various embodiments, the active learning approaches are employed in conjunction with an analysis algorithm that is used to process the seismic data. Algorithms that may employ such active learning include, but are not limited to, ranking algorithms and classification algorithms.
Abstract translation: 提供了一种地震数据分析方法。 根据各种实施例，主动学习方法与用于处理地震数据的分析算法结合使用。 可以采用这种主动学习的算法包括但不限于排序算法和分类算法。
-
公开(公告)号：US10036820B2
公开(公告)日：2018-07-31
申请号：US15061800
申请日：2016-03-04
Inventor： Ali Can , Erhan Bas , Dongrui Wu , Jie Yu , Leslie Wahrmund
IPC: G01V1/30
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.
-
公开(公告)号：US09747683B2
公开(公告)日：2017-08-29
申请号：US14977253
申请日：2015-12-21
Applicant: General Electric Company
Inventor： Arun Karthi Subramaniyan , Khan Mohamed Khirullah Genghis Khan , Clifford Bueno , Ali Can , Adrian Gabriel Loghin , Jie Yu
CPC classification number: G06T7/001 , G06K9/00208 , G06K9/6212 , G06K9/6214 , G06K2209/19 , G06T7/11 , G06T2207/10081 , G06T2207/30164
Abstract: A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.
-
-
-
-
-
Search Results
6
records
(took 0.013 seconds)
