Patents by Inventor Sergio Henrique Guerra de Sousa

Sergio Henrique Guerra de Sousa has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Constructing digital twins for oil and gas recovery using Ensemble Kalman Filter
    Patent number: 11572777
    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.
    Type: Grant
    Filed: June 7, 2019
    Date of Patent: February 7, 2023
    Assignee: Landmark Graphics Corporation
    Inventors: Andrey Filippov, Sergio Henrique Guerra de Sousa, Cesar Enrique Bravo
  • Constructing Digital Twins for Oil and Gas Recovery Using Ensemble Kalman Filter
    Publication number: 20210404314
    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.
    Type: Application
    Filed: June 7, 2019
    Publication date: December 30, 2021
    Inventors: Andrey Filippov, Sergio Henrique Guerra de Sousa, Cesar Enrique Bravo
  • Systems and methods for reducing reservoir simulator model run time
    Patent number: 10409616
    Abstract: Systems and methods for reducing run time for a reservoir simulator model using a proxy model based on a neural network.
    Type: Grant
    Filed: November 30, 2010
    Date of Patent: September 10, 2019
    Assignee: Landmark Graphics Corporation
    Inventors: Alejandro Garcia, Jordani Rebeschini, Sergio Henrique Guerra de Sousa, Gerardo Mijares, Jose Antonio Rodriguez, Luigi Alfonso Saputelli, William Douglas Johnson
  • Systems and Methods for Reducing Reservoir Simulator Model Run Time
    Publication number: 20130338985
    Abstract: Systems and methods for reducing run time for a reservoir simulator model using a proxy model based on a neural network.
    Type: Application
    Filed: November 30, 2010
    Publication date: December 19, 2013
    Applicant: Landmark Graphics Corporation
    Inventors: Alejandro Garcia, Jordani Rebeschini, Sergio Henrique Guerra de Sousa, Gerardo Mijares, Jose Antonio Rodriguez, Luigi Alfonso Saputelli, William Douglas Johnson