公开(公告)号：US20210404314A1

公开(公告)日：2021-12-30

申请号：US16615982

申请日：2019-06-07

Applicant: Landmark Graphics Corporation

Inventor： Andrey Filippov ,  Sergio Henrique Guerra de Sousa ,  Cesar Enrique Bravo

IPC: E21B44/00 ,  E21B43/25 ,  E21B47/002 ,  G05B13/04 ,  G01V1/40

Abstract: A self-adapting digital twin of a wellbore environment can be created. The self-adapting digital twin incorporates a standalone Ensemble Kalman Filter (EnKF) module with a constant parameter digital twin developed for a fixed environment. The standalone EnKF module receives streaming measurement data from multiple sensors and prediction data from the digital twin and executes the standalone EnKF module using the streaming measurement data and the prediction data from the digital twin. The results of executing the standalone EnKF module are input parameter corrections for the digital twin that are communicated to the digital twin. Output predictions of the digital twin are used to modify operational parameters of an oil or gas recovery process.

公开(公告)号：US11572777B2

公开(公告)日：2023-02-07

申请号：US16615982

申请日：2019-06-07

Applicant: Landmark Graphics Corporation

Inventor： Andrey Filippov ,  Sergio Henrique Guerra de Sousa ,  Cesar Enrique Bravo

IPC: E21B44/00 ,  G01V99/00

Abstract: A self-adapting digital twin of a wellbore environment can be created. The self-adapting digital twin incorporates a standalone Ensemble Kalman Filter (EnKF) module with a constant parameter digital twin developed for a fixed environment. The standalone EnKF module receives streaming measurement data from multiple sensors and prediction data from the digital twin and executes the standalone EnKF module using the streaming measurement data and the prediction data from the digital twin. The results of executing the standalone EnKF module are input parameter corrections for the digital twin that are communicated to the digital twin. Output predictions of the digital twin are used to modify operational parameters of an oil or gas recovery process.