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公开(公告)号:US11249220B2
公开(公告)日:2022-02-15
申请号:US16541053
申请日:2019-08-14
Applicant: Chevron U.S.A. Inc.
Inventor: Tao Sun , Lewis Li , Brett M. Hern , Fabien J. Laugier , Maisha Lara Amaru , Ashley D. Harris , Morgan David Sullivan
IPC: G06F17/16 , G01V99/00 , G06F17/15 , G06F111/10
Abstract: Correlation matrices may be used to simultaneously correlate multiple wells. A correlation matrix may be generated for individual pairs of multiple wells. The values of elements of the correlation matrices may be determined based on matching between segments of the multiple wells and segments of one or more computational stratigraphic models. An N-dimensional space including an axis for individual wells may be generated. Directed walk may be performed within the N-dimensional space to generate paths representing scenarios of correlations for segments of the multiple wells.
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公开(公告)号:US11454733B2
公开(公告)日:2022-09-27
申请号:US16694870
申请日:2019-11-25
Applicant: CHEVRON U.S.A. INC.
Inventor: Tao Sun , Brian J. Willis , Maisha L. Amaru , Ashley D. Harris , Morgan David Sullivan
Abstract: A method is described for analysis of subsurface data including the use of physics-based modeling and experimental design that allows calculation of probabilities of physical subsurface properties. The method may include calculations of key controlling parameters. The method may include using multiple dimension scaling. The method may be executed by a computer system.
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公开(公告)号:US20210048556A1
公开(公告)日:2021-02-18
申请号:US16541053
申请日:2019-08-14
Applicant: Chevron U.S.A. Inc.
Inventor: Tao Sun , Lewis Li , Brett M. Hern , Fabien J. Laugier , Maisha Lara Amaru , Ashley D. Harris , Morgan David Sullivan
Abstract: Correlation matrices may be used to simultaneously correlate multiple wells. A correlation matrix may be generated for individual pairs of multiple wells. The values of elements of the correlation matrices may be determined based on matching between segments of the multiple wells and segments of one or more computational stratigraphic models. An N-dimensional space including an axis for individual wells may be generated. Directed walk may be performed within the N-dimensional space to generate paths representing scenarios of correlations for segments of the multiple wells.
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公开(公告)号:US20200174145A1
公开(公告)日:2020-06-04
申请号:US16694870
申请日:2019-11-25
Applicant: CHEVRON U.S.A. INC.
Inventor: Tao Sun , Brian J. Willis , Maisha L. Amaru , Ashley D. Harris , Morgan David Sullivan
Abstract: A method is described for analysis of subsurface data including the use of physics-based modeling and experimental design that allows calculation of probabilities of physical subsurface properties. The method may include calculations of key controlling parameters. The method may include using multiple dimension scaling. The method may be executed by a computer system.
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公开(公告)号:US11604909B2
公开(公告)日:2023-03-14
申请号:US16706596
申请日:2019-12-06
Applicant: Chevron U.S.A. Inc.
Inventor: Tao Sun , Sebastien B. Strebelle , Ashley D. Harris , Maisha Lara Amaru , Lewis Li
Abstract: A computational stratigraphy model may be run for M mini-steps to simulate changes in a subsurface representation across M mini-steps (from 0-th subsurface representation to M-th subsurface representation), with a mini-step corresponding to a mini-time duration. The subsurface representation after individual steps may be characterized by a set of computational stratigraphy model variables. Some or all of the computational stratigraphy model variables from running of the computational stratigraphy model may be provided as input to a machine learning model. The machine learning model may predict changes to the subsurface representation over a step corresponding to a time duration longer than the mini-time duration and output a predicted subsurface representation. The subsurface representation may be updated based on the predicted subsurface representation outputted by the machine learning model. Running of the computational stratigraphy model and usage of the machine learning model may be iterated until the end of the simulation.
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公开(公告)号:US11263362B2
公开(公告)日:2022-03-01
申请号:US16744992
申请日:2020-01-16
Applicant: Chevron U.S.A. Inc.
Inventor: Tao Sun , Brett M. Hern , Brian Willis , Fabien J. Laugier , Maisha Lara Amaru , Ashley D. Harris , Morgan David Sullivan
Abstract: A subsurface representation may define simulated subsurface configuration of a simulated subsurface region. The simulated subsurface region may include simulated wells, and the simulated subsurface configuration may define simulated correlation between the simulated wells. Subsurface configuration of wells may be compared with the simulated subsurface configuration to generate similarity maps for the wells. Simulated wells may be matched to the wells based on the similarity maps and the arrangement of the wells. Correlation between the wells may be determined based on the simulated correlation between the matched simulated wells.
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公开(公告)号:US20210341642A1
公开(公告)日:2021-11-04
申请号:US15929390
申请日:2020-04-30
Applicant: Chevron U.S.A. Inc.
Inventor: Ashley D. Harris , Tao Sun , Sarah E. Baumgardner
Abstract: Process-based numerical forward stratigraphic models of different spatiotemporal scales may be nested to address subsurface characterization at different scales. Subsurface representations may be generated using an iterative loop in which subsurface representations are generated using different-scale subsurface models, compared to scale-appropriate data, and used to define boundary conditions/inputs for subsequently run subsurface models. Results from the subsurface models may be compared to one or more standards for quality control and/or for subsurface representation selection. A series of comprehensive subsurface representations may be generated, with the subsurface representations being constrained by different scales of information and physical plausible scenarios.
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公开(公告)号:US20210302620A1
公开(公告)日:2021-09-30
申请号:US16832641
申请日:2020-03-27
Applicant: Chevron U.S.A. Inc.
Inventor: Brett M. Hern , Tao Sun , Brian J. Willis , Fabien J. Laugier , Ashley D. Harris
Abstract: Well information may define subsurface configuration of different wells. Marker information defining marker positions within the wells may be obtained. A dissimilarity matrix for the wells may generated, with the element values of the dissimilarity matrix determined based on comparison of corresponding subsurface configuration of the wells. A gated dissimilarity matrix may be generated from the dissimilarity matrix based on the marker positions within the wells. The elements values of the gated dissimilarity matrix corresponding to one set of marker positions and not corresponding to the other set of marker positions may be changed. Correlation between the wells may be determined based on the gated dissimilarity matrix such that correlation exists between a marker position in one well and a marker position in another well.
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公开(公告)号:US20200380390A1
公开(公告)日:2020-12-03
申请号:US16706596
申请日:2019-12-06
Applicant: Chevron U.S.A. Inc.
Inventor: Tao Sun , Sebastien B. Strebelle , Ashley D. Harris , Maisha Lara Amaru , Lewis Li
Abstract: A computational stratigraphy model may be run for M mini-steps to simulate changes in a subsurface representation across M mini-steps (from 0-th subsurface representation to M-th subsurface representation), with a mini-step corresponding to a mini-time duration. The subsurface representation after individual steps may be characterized by a set of computational stratigraphy model variables. Some or all of the computational stratigraphy model variables from running of the computational stratigraphy model may be provided as input to a machine learning model. The machine learning model may predict changes to the subsurface representation over a step corresponding to a time duration longer than the mini-time duration and output a predicted subsurface representation. The subsurface representation may be updated based on the predicted subsurface representation outputted by the machine learning model. Running of the computational stratigraphy model and usage of the machine learning model may be iterated until the end of the simulation.
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