Patents by Inventor Justin A. Gantt

Justin A. Gantt 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: 12001762
    Abstract: The methods disclosed herein are directed to an automated method for monitoring performance of a well in a hydrocarbon reservoir for continuous monitoring of well test production data for a plurality of well system performance parameters, trending actual performance parameter deviations from a well system model, and determining most probable root cause(s) of the performance parameter deviations based on the trend of the deviations of a plurality of parameters for an outflow component of a well performance model and a plurality of parameters inflow component of a well performance model. The method automatically notifies an operator of detected root causes of the performance degradation, and further may perform corrective action in the well system based on at least one root cause of the deviation determined by the well performance model.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: June 4, 2024
    Assignee: ExxonMobil Technology and Engineering Company
    Inventors: Mahsa Memarzadeh, Justin A. Gantt, Ted A. Long
  • Patent number: 11755795
    Abstract: A method of detecting and mitigating flow instabilities, such as slugging, in hydrocarbon production wells. Real-time production data pertaining to each well is are retrieved. Using the production data, patterns of flow instability are identified therein. A numerical model of transient and thermal multiphase flow in each well is generated. Well test data is are retrieved from a database. The numerical model is calibrated using the well test data. Using the calibrated numerical model, a parametric study is performed to determine how input parameters affect at least one of stability and performance of the wells. Results of the parametric study are queried to determine a type of flow instability and to determine operating conditions to improve performance of the wells. An advisory is provided to a user to change operating conditions of one or more of the wells, to improve stability and/or performance of one or more of the wells.
    Type: Grant
    Filed: September 18, 2018
    Date of Patent: September 12, 2023
    Assignee: ExxonMobil Technology and Engineering Company
    Inventors: Feng Xiao, Neeraj R. Dani, Ted A. Long, Justin A. Gantt, Zachary H. Borden, Amr El-Bakry, Curtis J. Holub
  • Publication number: 20200202047
    Abstract: The methods disclosed herein are directed to an automated method for monitoring performance of a well in a hydrocarbon reservoir for continuous monitoring of well test production data for a plurality of well system performance parameters, trending actual performance parameter deviations from a well system model, and determining most probable root cause(s) of the performance parameter deviations based on the trend of the deviations of a plurality of parameters for an outflow component of a well performance model and a plurality of parameters inflow component of a well performance model. The method automatically notifies an operator of detected root causes of the performance degradation, and further may perform corrective action in the well system based on at least one root cause of the deviation determined by the well performance model.
    Type: Application
    Filed: December 19, 2019
    Publication date: June 25, 2020
    Inventors: Mahsa Memarzadeh, Justin A. Gantt, Ted A. Long
  • Publication number: 20190093455
    Abstract: A method of detecting and mitigating flow instabilities, such as slugging, in one or more hydrocarbon production wells. Real-time production data pertaining to each well is retrieved. Using the production data, patterns of flow instability are identified therein. A numerical model of transient and thermal multiphase flow in each well is generated. Well test data is retrieved from a database. The numerical model is calibrated using the well test data. Using the calibrated numerical model, a parametric study is performed to determine how input parameters affect at least one of stability and performance of the wells. Results of the parametric study are queried to determine a type of flow instability and to determine operating conditions to improve performance of the wells. An advisory is provided to a user to change operating conditions of one or more of the wells, to improve stability and/or performance of one or more of the wells.
    Type: Application
    Filed: September 18, 2018
    Publication date: March 28, 2019
    Inventors: Feng Xiao, Neeraj R. Dani, Ted A. Long, Justin A. Gantt, Zachary H. Borden, Amr El-Bakry, Curtis J. Holub