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公开(公告)号:US20190302295A1
公开(公告)日:2019-10-03
申请号:US15943535
申请日:2018-04-02
Applicant: Chevron U.S.A. Inc.
Inventor: Gary Michael Hoversten , Laura Bandura , Adam Halpert
Abstract: Systems and methods for training a model that uses probabilities of lithologies as prior information in an inversion are disclosed. Exemplary implementations may: obtain training data, the training data including (i) subsurface map data sets, and (ii) known lithologies; obtain an initial seismic mapping model; generate a conditioned seismic mapping model by training the initial seismic mapping model; store the conditioned seismic mapping model; obtain a target subsurface map data set; apply the conditioned seismic mapping model to generate a classified lithology map data set; apply an inversion to the classified lithology map data set to generate volumes of lithologies; generate an image that represents the volumes of lithologies; display the image.
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公开(公告)号:US10884150B2
公开(公告)日:2021-01-05
申请号:US15943535
申请日:2018-04-02
Applicant: Chevron U.S.A. Inc.
Inventor: Gary Michael Hoversten , Laura Bandura , Adam Halpert
Abstract: Systems and methods for training a model that uses probabilities of lithologies as prior information in an inversion are disclosed. Exemplary implementations may: obtain training data, the training data including (i) subsurface map data sets, and (ii) known lithologies; obtain an initial seismic mapping model; generate a conditioned seismic mapping model by training the initial seismic mapping model; store the conditioned seismic mapping model; obtain a target subsurface map data set; apply the conditioned seismic mapping model to generate a classified lithology map data set; apply an inversion to the classified lithology map data set to generate volumes of lithologies; generate an image that represents the volumes of lithologies; display the image.
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