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公开(公告)号：US11269100B2
公开(公告)日：2022-03-08
申请号：US16610031
申请日：2017-12-21
Applicant: Landmark Graphics Corporation
Inventor： Youli Mao , Raja Vikram Pandya , Bhaskar Mandapaka , Keshava Prasad Rangarajan , Srinath Madasu , Satyam Priyadarshy , Ashwani Dev
Abstract: A method includes receiving a training selection of a first set of faults located in a first subset of a seismic dataset for a subsurface geologic formation, detecting a second set of faults in the seismic dataset based on fault interpretation operations using a first set of interpretation parameters, and determining a difference between the first set of faults and the second set of faults. The method also includes generating a second set of interpretation parameters for the fault interpretation operations based on the difference between the first set of faults and the second set of faults, and determining a feature of the subsurface geologic formation based on fault interpretation operations using the second set of interpretation parameters.
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Patent Agency Ranking
公开(公告)号：US11378710B2
公开(公告)日：2022-07-05
申请号：US16489286
申请日：2018-07-18
Applicant: Landmark Graphics Corporation
Inventor： Youli Mao , Bhaskar Mandapaka , Ashwani Dev , Satyam Priyadarshy
Abstract: A method for determining a position of a geological feature in a formation includes acquiring a seismic dataset, wherein the seismic dataset is based on signals of one or more seismic sensors and determining a set of indicators of candidate discontinuities in the formation based on the seismic dataset. The method also includes labeling a subset of the set of indicators of candidate discontinuities using a neural network with a label based on the set of indicators of candidate discontinuities, wherein the label distinguishes an indicator of a candidate discontinuity between being an indicator of a target discontinuity or being an indicator of a non-target discontinuity and determining the position of the geological feature in the formation, wherein the geological feature in the formation is associated with at least one target discontinuity based on the subset of the set of indicators of candidate discontinuities.
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公开(公告)号：US20200302353A1
公开(公告)日：2020-09-24
申请号：US16649249
申请日：2018-02-22
Applicant: Landmark Graphics Corporation
Inventor： Hewei Tang , Shang Zhang , Feifei Zhang , Suresh Venugopal , Youli Mao
Abstract: An abnormal trend detection system for detecting one or more hazards may provide for a safe and effective drilling operation as any of the one or more hazards may be avoided. Several indicators may be defined including a first, second, third and fourth indicator. The indicators are used to identify in a trend analysis abnormal trends. One or more thresholds may be defined. When a trend analysis indicates that a threshold has been reached or exceeded an alarm may be triggered, a drilling operation may be altered or a combination thereof.
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公开(公告)号：US11428835B2
公开(公告)日：2022-08-30
申请号：US16827532
申请日：2020-03-23
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Zhili Wei , Meng Meng , Fan Jiang , Youli Mao , Phil Norlund
Abstract: Hydrocarbon exploration and extraction can be facilitated using machine-learning models. For example, a system described herein can receive seismic data indicating locations of geological bodies in a target area of a subterranean formation. The system can provide the seismic data as input to a trained machine-learning model for determining whether the target area of the subterranean formation includes one or more types of geological bodies. The system can receive an output from the trained machine-learning model indicating whether or not the target area of the subterranean formation includes the one or more types of geological bodies. The system can then execute one or more processing operations for facilitating hydrocarbon exploration or extraction based on the seismic data and the output from the trained machine-learning model.
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公开(公告)号：US20200064507A1
公开(公告)日：2020-02-27
申请号：US16489286
申请日：2018-07-18
Applicant: Landmark Graphics Corporation
Inventor： Youli Mao , Bhaskar Mandapaka , Ashwani Dev , Satyam Priyadarshy
Abstract: A method for determining a position of a geological feature in a formation includes acquiring a seismic dataset, wherein the seismic dataset is based on signals of one or more seismic sensors and determining a set of indicators of candidate discontinuities in the formation based on the seismic dataset. The method also includes labeling a subset of the set of indicators of candidate discontinuities using a neural network with a label based on the set of indicators of candidate discontinuities, wherein the label distinguishes an indicator of a candidate discontinuity between being an indicator of a target discontinuity or being an indicator of a non-target discontinuity and determining the position of the geological feature in the formation, wherein the geological feature in the formation is associated with at least one target discontinuity based on the subset of the set of indicators of candidate discontinuities.
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公开(公告)号：US11481706B2
公开(公告)日：2022-10-25
申请号：US16649249
申请日：2018-02-22
Applicant: Landmark Graphics Corporation
Inventor： Hewei Tang , Shang Zhang , Feifei Zhang , Suresh Venugopal , Youli Mao
Abstract: An abnormal trend detection system for detecting one or more hazards may provide for a safe and effective drilling operation as any of the one or more hazards may be avoided. Several indicators may be defined including a first, second, third and fourth indicator. The indicators are used to identify in a trend analysis abnormal trends. One or more thresholds may be defined. When a trend analysis indicates that a threshold has been reached or exceeded an alarm may be triggered, a drilling operation may be altered or a combination thereof.
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