Patents by Inventor Michael Raghib

Michael Raghib 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).

  • Patent number: 11222615
    Abstract: A user profile associated with a first user is received. A user prescription associated with the first user is received. A historical interaction of the first user with a display is received. A global vision model is received. One or more display sets to be used on the display is determined based on at least the user profile, the user prescription, the global vision model, and the historical interaction.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: January 11, 2022
    Assignee: International Business Machines Corporation
    Inventors: Elaheh ShafieiBavani, Peter Zhong, Rahil Garnavi, Michael Raghib
  • Patent number: 10990882
    Abstract: A system, method and program product for stratigraphic layer identification using a stratigraphic knowledge base for machine learning. Reservoir data includes seismic data and well log data for a reservoir area. The well log data is processed to identify well stratigraphic layer features and the seismic data is processed to identify seismic stratigraphic layer features. A feature matching algorithm based on a stratigraphic knowledge base is selected to match the well stratigraphic layer features to the seismic stratigraphic layer features. The matched features are used to define a stratigraphic layer interpretation for the reservoir area and the interpretation is presented to a user.
    Type: Grant
    Filed: July 28, 2017
    Date of Patent: April 27, 2021
    Assignee: International Business Machines Corporation
    Inventors: Paul Borrel, Paulo R. Cavalin, Matthias Kormaksson, Carmen N. Mena Paz, Michael Raghib
  • Publication number: 20210049982
    Abstract: A user profile associated with a first user is received. A user prescription associated with the first user is received. A historical interaction of the first user with a display is received. A global vision model is received. One or more display setts to be used on the display is determined based on at least the user profile, the user prescription, the global vision model, and the historical interaction.
    Type: Application
    Filed: August 15, 2019
    Publication date: February 18, 2021
    Inventors: Elaheh ShafieiBavani, Peter Zhong, Rahil Garnavi, Michael Raghib
  • Publication number: 20190034812
    Abstract: A system, method and program product for stratigraphic layer identification using a stratigraphic knowledge base for machine learning. Reservoir data includes seismic data and well log data for a reservoir area. The well log data is processed to identify well stratigraphic layer features and the seismic data is processed to identify seismic stratigraphic layer features. A feature matching algorithm based on a stratigraphic knowledge base is selected to match the well stratigraphic layer features to the seismic stratigraphic layer features. The matched features are used to define a stratigraphic layer interpretation for the reservoir area and the interpretation is presented to a user.
    Type: Application
    Filed: July 28, 2017
    Publication date: January 31, 2019
    Inventors: Paul Borrel, Paulo R. Cavalin, Matthias Kormaksson, Carmen N. Mena Paz, Michael Raghib