Patents by Inventor Neeraj R. Dani

Neeraj R. Dani 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: 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
  • Patent number: 11555389
    Abstract: A method of predicting hydrocarbon production from one or more artificial lift wells is disclosed. Test data is obtained from the artificial lift well. A decline curve model, representing well performance, is generated for one or more fluids in the artificial lift well. Measurement values are obtained from an artificial lift operation. For each of the obtained measurement values, a measurement model is generated that correlates the measurement values to the decline curve. A Kalman filter is used to predict production outputs of at least one of oil, gas, and water for the well, and to generate an uncertainty range for the predicted production outputs. The Kalman filter uses the decline curves to predict the production outputs, and uses the measurement models to correct and/or update the predicted production outputs. Hydrocarbon production activities are modified using the corrected and/or updated predicted production outputs.
    Type: Grant
    Filed: July 1, 2021
    Date of Patent: January 17, 2023
    Assignee: ExxonMobil Upstream Research Company
    Inventors: Richard D. Garrett, Marco de Mattia, Curtis J. Holub, Neeraj R. Dani
  • Publication number: 20220034208
    Abstract: A method of predicting hydrocarbon production from one or more artificial lift wells is disclosed. Test data is obtained from the artificial lift well. A decline curve model, representing well performance, is generated for one or more fluids in the artificial lift well. Measurement values are obtained from an artificial lift operation. For each of the obtained measurement values, a measurement model is generated that correlates the measurement values to the decline curve. A Kalman filter is used to predict production outputs of at least one of oil, gas, and water for the well, and to generate an uncertainty range for the predicted production outputs. The Kalman filter uses the decline curves to predict the production outputs, and uses the measurement models to correct and/or update the predicted production outputs. Hydrocarbon production activities are modified using the corrected and/or updated predicted production outputs.
    Type: Application
    Filed: July 1, 2021
    Publication date: February 3, 2022
    Inventors: Richard D. Garrett, Marco de Mattia, Curtis J. Holub, Neeraj R. Dani
  • 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