Patents by Inventor Dimitri C. Critsinelis

Dimitri C. Critsinelis 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).

  • Publication number: 20250034981
    Abstract: In several aspects, a processor receives a set of parameters characterizing sensor data from a plurality of sensors corresponding to drilling operations of a drill assembly for boring the Earth, and a condition of the drill assembly. The processor selects, by a drill assembly machine learning model executed by the processor, a subset of parameters that are related to the condition of the drill assembly. The drill assembly machine learning model uses an historical record of the set of parameters and a set of conditions of the drill assembly collected over time to determine whether a parameter is related to each condition. The processor applies weights to each parameter of the subset of parameters and weights to different levels of each parameter of the subset of parameters, producing a weighted subset of parameters and outputting the weighted subset of parameters.
    Type: Application
    Filed: October 15, 2024
    Publication date: January 30, 2025
    Inventors: Dimitri C. Critsinelis, Dustin S. Claiborne, Kiran Singh, Hamzah M. Al-Najada, Gunjan Neopaney, Sri Vaishnavi Vemulapalli, Hooman Yousefizadeh, Andrew B. Stokes, JR., Vincent P. LeMoine
  • Patent number: 12163412
    Abstract: A system for guiding a drill assembly boring the Earth can include a drill controller engine that receives parameters characterizing sensor data from a plurality of sensors of the drill assembly, and a condition of the drill assembly. The parameters and condition can be aggregated into a historical record. A subset of the parameters can be selected based on a relationship between the subset of parameters and the condition of the drill assembly, the relationship being determined by a drill assembly machine learning model. A Damage Index (DI) can be calculated from the subset of parameters. The DI can be matched with a plurality of DIs computed for the historical record to determine a risk of failure of the drill assembly. The drilling operations of the drill assembly can be adjusted by the drill controller engine in response to the risk of failure.
    Type: Grant
    Filed: November 15, 2022
    Date of Patent: December 10, 2024
    Assignee: INVENTUS HOLDINGS, LLC
    Inventors: Dimitri C. Critsinelis, Dustin S. Claiborne, Kiran Singh, Hamzah M. Al-Najada, Gunjan Neopaney, Sri Vaishnavi Vemulapalli, Hooman Yousefizadeh, Andrew B. Stokes, Jr., Vincent P. LeMoine
  • Publication number: 20240159136
    Abstract: A system for guiding a drill assembly boring the Earth can include a drill controller engine that receives parameters characterizing sensor data from a plurality of sensors of the drill assembly, and a condition of the drill assembly. The parameters and condition can be aggregated into a historical record. A subset of the parameters can be selected based on a relationship between the subset of parameters and the condition of the drill assembly, the relationship being determined by a drill assembly machine learning model. A Damage Index (DI) can be calculated from the subset of parameters. The DI can be matched with a plurality of DIs computed for the historical record to determine a risk of failure of the drill assembly. The drilling operations of the drill assembly can be adjusted by the drill controller engine in response to the risk of failure.
    Type: Application
    Filed: November 15, 2022
    Publication date: May 16, 2024
    Inventors: Dimitri C. Critsinelis, Dustin S. Claiborne, Kiran Singh, Hamzah M. Al-Najada, Gunjan Neopaney, Sri Vaishnavi Vemulapalli, Hooman Yousefizadeh, Andrew B. Stokes, JR., Vincent P. LeMoine