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公开(公告)号：US10670755B2
公开(公告)日：2020-06-02
申请号：US15943513
申请日：2018-04-02
Applicant: Chevron U.S.A. Inc.
Inventor： Anandaroop Ray , Prasenjit Roy , James Magill , David Bartel , Reynaldo Cardona , Kabilan Krishnamurthy
Abstract: Systems and methods for refining estimated effects of parameters on amplitudes are disclosed. Exemplary implementations may: (a) obtain ranges of parameter values for individual parameters within a subsurface region of interest; (b) generate a first model of the subsurface region of interest; (c) calculate a synthetic seismogram from the first model to determine corresponding amplitudes; (d) store results of applying the synthetic seismogram; (e) repeat steps (b)-(d) for multiple additional models; (f) obtain a subsurface distribution; (g) apply the subsurface distribution to the multiple models and the corresponding amplitudes; (h) generate a representation; and (i) display the representation.
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公开(公告)号：US20190302294A1
公开(公告)日：2019-10-03
申请号：US15943513
申请日：2018-04-02
Applicant: Chevron U.S.A. Inc.
Inventor： Anandaroop Ray , Prasenjit Roy , Jim Magill , David Bartel , Reynaldo Cardona , Kabilan Krishnamurthy
Abstract: Systems and methods for refining estimated effects of parameters on amplitudes are disclosed. Exemplary implementations may: (a) obtain ranges of parameter values for individual parameters within a subsurface region of interest; (b) generate a first model of the subsurface region of interest; (c) calculate a synthetic seismogram from the first model to determine corresponding amplitudes; (d) store results of applying the synthetic seismogram; (e) repeat steps (b)-(d) for multiple additional models; (f) obtain a subsurface distribution; (g) apply the subsurface distribution to the multiple models and the corresponding amplitudes; (h) generate a representation; and (i) display the representation.
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公开(公告)号：US12130398B2
公开(公告)日：2024-10-29
申请号：US17672486
申请日：2022-02-15
Applicant: Chevron U.S.A. Inc.
Inventor： Prasenjit Roy , Yang Zhang , Xinfa Zhu , Reynaldo Cardona , Yong Hua , Kun Fu , Bassel Mouloud Almoughraby
IPC: G01V1/48 , G01V1/00 , G01V1/46 , G01V1/50 , G06F18/214
CPC classification number: G01V1/50 , G01V1/003 , G01V1/46 , G06F18/214 , G01V2210/1299 , G01V2210/62
Abstract: Well data (e.g., well log) may be divided into multiple segments, and different samplings of data in the individual segments may be performed to increase the amount of data that is used to train a seismic inversion model. Synthetic well data may be generated from real well data to increase the amount of well data from which sampling is performed.
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公开(公告)号：US20220035069A1
公开(公告)日：2022-02-03
申请号：US16945517
申请日：2020-07-31
Applicant: CHEVRON U.S.A. INC. , THE TEXAS A&M UNIVERSITY SYSTEM
Inventor： Shuxing Cheng , Zhao Zhang , Kellen Leigh Gunderson , Reynaldo Cardona , Zhangyang Wang , Ziyu Jiang
Abstract: Systems and methods are disclosed for identifying subsurface features as a function of position in a subsurface volume of interest. Exemplary implementations may include obtaining target subsurface data; obtaining a conditioned subsurface feature model; applying the conditioned subsurface feature model to the target subsurface data, which may include generating convoluted target subsurface data by convoluting the target subsurface data; generating target subsurface feature map layers by applying filters to the convoluted target subsurface data; detecting potential target subsurface features in the target subsurface feature map layers; masking the target subsurface features; and estimating target subsurface feature data by linking the masked subsurface features to the target subsurface feature data.
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公开(公告)号：US20220035068A1
公开(公告)日：2022-02-03
申请号：US16945486
申请日：2020-07-31
Applicant: CHEVRON U.S.A. INC.
Inventor： Shuxing Cheng , Zhao Zhang , Kellen Leigh Gunderson , Reynaldo Cardona
Abstract: Systems, devices, and methods are disclosed for identifying subsurface features as a function of position in a subsurface volume of interest. A computer-implemented method may include obtaining training subsurface data and corresponding training subsurface feature data; obtaining an initial subsurface feature model including tiers of elements; generating a conditioned subsurface feature model by training the initial subsurface feature model using the training subsurface data and the corresponding training subsurface feature data; and storing the conditioned subsurface feature model in the non-transient electronic storage.
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Patent Agency Ranking
公开(公告)号：US20230258838A1
公开(公告)日：2023-08-17
申请号：US17672486
申请日：2022-02-15
Applicant: Chevron U.S.A. Inc.
Inventor： Prasenjit Roy , Yang Zhang , Xinfa Zhu , Reynaldo Cardona , Yong Hua , Kun Fu , Bassel Mouloud Almoughraby
CPC classification number: G01V1/50 , G01V1/46 , G01V1/003 , G06K9/6256 , G01V2210/1299 , G01V2210/62
Abstract: Well data (e.g., well log) may be divided into multiple segments, and different samplings of data in the individual segments may be performed to increase the amount of data that is used to train a seismic inversion model. Synthetic well data may be generated from real well data to increase the amount of well data from which sampling is performed.
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公开(公告)号：US11275193B2
公开(公告)日：2022-03-15
申请号：US16227944
申请日：2018-12-20
Applicant: Chevron U.S.A. Inc.
Inventor： Anandaroop Ray , Michael Greene , Mason Edwards , Reynaldo Cardona
Abstract: Methods and systems for calibrating depth in a well to seismic data in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain well data corresponding to the well in the subsurface volume of interest; convert the well data to converted well data; obtain a seismic trace and a corresponding wavelet; generate a transform model; apply the transform model to the converted well data to transform the converted well data into transformed well data; apply the corresponding wavelet to the transformed well data to generate a modified signal; generate a correspondence between the modified signal and the seismic trace; repeat one or more steps to select a given modified signal; and calibrate the well data to the seismic trace.
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公开(公告)号：US10120092B2
公开(公告)日：2018-11-06
申请号：US15242688
申请日：2016-08-22
Applicant: CHEVRON U.S.A. INC.
Inventor： Mingya Chen , Damian O'Grady , Miguel O. Ascanio Regalado , Dileep K. Tiwary , Reynaldo Cardona , Aygul Kostinovsky
Abstract: A method is described for generating an improved digital image for a subsurface volume of interest that allows analysis of the depositional settings of rock facies in a subsurface volume of interest. The method may include identifying at least three different rock facies in the well log data; estimating a compaction trend for each of the at least three rock facies identified in the well log data to create at least three compaction trends; transforming the velocity model to produce a trend-match volume using the at least three compaction trends; and superimposing the trend-match volume and the seismic image to generate a digital image containing information regarding both structural features and stratigraphic features of the subsurface volume of interest. The method may be executed by a computer system.
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公开(公告)号：US20240310547A1
公开(公告)日：2024-09-19
申请号：US18591065
申请日：2024-02-29
Applicant: CHEVRON U.S.A. INC.
Inventor： Un Young Lim , Ke Wang , Reynaldo Cardona
CPC classification number: G01V1/50 , E21B49/00 , G01V2210/6222 , G01V2210/66
Abstract: A method is described for seismic inversion and wavelet estimation including uncertainty quantification. The method uses bootstrapping and deep neural networks to generate an ensemble of realizations that are analyzed to quantify uncertainty. The method is executed by a computer system.
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公开(公告)号：US11841479B2
公开(公告)日：2023-12-12
申请号：US16945517
申请日：2020-07-31
Applicant: CHEVRON U.S.A. INC. , THE TEXAS A&M UNIVERSITY SYSTEM
Inventor： Shuxing Cheng , Zhao Zhang , Kellen Leigh Gunderson , Reynaldo Cardona , Zhangyang Wang , Ziyu Jiang
IPC: G01V99/00 , G06F111/10 , G06F18/214
CPC classification number: G01V99/005 , G06F18/214 , G06F2111/10 , G06F2218/08
Abstract: Systems and methods are disclosed for identifying subsurface features as a function of position in a subsurface volume of interest. Exemplary implementations may include obtaining target subsurface data; obtaining a conditioned subsurface feature model; applying the conditioned subsurface feature model to the target subsurface data, which may include generating convoluted target subsurface data by convoluting the target subsurface data; generating target subsurface feature map layers by applying filters to the convoluted target subsurface data; detecting potential target subsurface features in the target subsurface feature map layers; masking the target subsurface features; and estimating target subsurface feature data by linking the masked subsurface features to the target subsurface feature data.
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