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.

公开(公告)号：US11733424B2

公开(公告)日：2023-08-22

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

IPC: G06N20/00 ,  G01V99/00 ,  G06F30/27 ,  G06F113/08

CPC classification number: G01V99/005 ,  G06F30/27 ,  G06N20/00 ,  G06F2113/08

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.

公开(公告)号：US20230194737A1

公开(公告)日：2023-06-22

申请号：US17556002

申请日：2021-12-20

Applicant: Chevron U.S.A. Inc.

Inventor： Zhao Zhang ,  Yijie Zhou ,  Sandra C. Saldana ,  David Bradly Christensen

IPC: G01V1/28 ,  G01V1/30

CPC classification number: G01V1/282 ,  G01V1/306 ,  G01V2210/614

Abstract: A neural network is utilized to improve the resolution of subsurface inversion. The neural network leverages posterior distribution of samples and adds high frequency components to the inversion by utilizing the data in both the time domain and the frequency domain. The improved resolution of the subsurface inversion enables more accurate prediction of subsurface characteristics (e.g., reservoir architecture).

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

IPC: G01V99/00 ,  G06F30/27

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.

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

IPC: G01V99/00 ,  G06F30/27 ,  G06N20/00

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.

公开(公告)号：US12013507B2

公开(公告)日：2024-06-18

申请号：US17556002

申请日：2021-12-20

Applicant: Chevron U.S.A. Inc.

Inventor： Zhao Zhang ,  Yijie Zhou ,  Sandra C. Saldana ,  David Bradly Christensen

IPC: G01V1/28 ,  G01V1/30

CPC classification number: G01V1/282 ,  G01V1/306 ,  G01V2210/614

Abstract: A neural network is utilized to improve the resolution of subsurface inversion. The neural network leverages posterior distribution of samples and adds high frequency components to the inversion by utilizing the data in both the time domain and the frequency domain. The improved resolution of the subsurface inversion enables more accurate prediction of subsurface characteristics (e.g., reservoir architecture).