Patents by Inventor Irina V. Prestwood

Irina V. Prestwood 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).

  • Neural ordinary differential equation network for reservoir modeling
    Patent number: 11921256
    Abstract: Differential equations defining physics of a reservoir are modeled as a neural network. Measured data for the reservoir is used as boundary condition to calculate the different equation parameters. The result is a neural ordinary differential equation network that models reservoir characteristics (e.g., inter-well connectivities, response times for injection wells and production wells) using physics that are encoded into the network. The neural ordinary differential equation network provides a solution for the reservoir that is constrained by the physics of the reservoir.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: March 5, 2024
    Assignee: Chevron U.S.A. Inc.
    Inventors: Larry A. Bowden, Jr., Lokendra Jain, Irina V. Prestwood
  • NEURAL ORDINARY DIFFERENTIAL EQUATION NETWORK FOR RESERVOIR MODELING
    Publication number: 20220317332
    Abstract: Differential equations defining physics of a reservoir are modeled as a neural network. Measured data for the reservoir is used as boundary condition to calculate the different equation parameters. The result is a neural ordinary differential equation network that models reservoir characteristics (e.g., inter-well connectivities, response times for injection wells and production wells) using physics that are encoded into the network. The neural ordinary differential equation network provides a solution for the reservoir that is constrained by the physics of the reservoir.
    Type: Application
    Filed: March 31, 2021
    Publication date: October 6, 2022
    Inventors: Larry A. Bowden, Jr., Lokendra Jain, Irina V. Prestwood