Patents by Inventor Karla Olvera

Karla Olvera 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: 12385392
    Abstract: Systems, methods, and software can be used for identifying fracable areas. One example of a method includes receiving at least one of 3D petrophysical property and 3D geo-mechanical property in one or more areas. The method further includes receiving a model generating at least one hydraulic fracture parameter in a wellbore in the one or more areas. The method yet further includes training a machine learning model with at least one of the 3D petrophysical property and the 3D geo-mechanical property and the at least one hydraulic fracture parameter, and generating a fracability index for the wellbore based on the trained machine learning model.
    Type: Grant
    Filed: September 22, 2022
    Date of Patent: August 12, 2025
    Assignee: Saudi Arabian Oil Company
    Inventors: Otto E. Meza Camargo, Rakan Alkheliwi, Waheed Syed Arshad, Ivan Deshenenkov, Karla Olvera
  • Publication number: 20240102384
    Abstract: Systems, methods, and software can be used for identifying fracable areas. One example of a method includes receiving at least one of 3D petrophysical property and 3D geo-mechanical property in one or more areas. The method further includes receiving a model generating at least one hydraulic fracture parameter in a wellbore in the one or more areas. The method yet further includes training a machine learning model with at least one of the 3D petrophysical property and the 3D geo-mechanical property and the at least one hydraulic fracture parameter, and generating a fracability index for the wellbore based on the trained machine learning model.
    Type: Application
    Filed: September 22, 2022
    Publication date: March 28, 2024
    Inventors: Otto E. Meza Camargo, Rakan Alkheliwi, Waheed Syed Arshad, Ivan Deshenenkov, Karla Olvera