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).

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).