Invention Grant
- Patent Title: Constructing digital twins for oil and gas recovery using Ensemble Kalman Filter
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Application No.: US16615982Application Date: 2019-06-07
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Publication No.: US11572777B2Publication Date: 2023-02-07
- Inventor: Andrey Filippov , Sergio Henrique Guerra de Sousa , Cesar Enrique Bravo
- Applicant: Landmark Graphics Corporation
- Applicant Address: US TX Houston
- Assignee: Landmark Graphics Corporation
- Current Assignee: Landmark Graphics Corporation
- Current Assignee Address: US TX Houston
- Agency: Kilpatrick Townsend & Stockton LLP
- International Application: PCT/US2019/036082 WO 20190607
- International Announcement: WO2020/159564 WO 20200806
- Main IPC: E21B44/00
- 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.
Public/Granted literature
- US20210404314A1 Constructing Digital Twins for Oil and Gas Recovery Using Ensemble Kalman Filter Public/Granted day:2021-12-30
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