Patents by Inventor Oluwafemi Balogun

Oluwafemi Balogun 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).

  • Global model for failure prediction for artificial lift systems
    Patent number: 9292799
    Abstract: Methods and systems for predicting failures in an artificial lift system are disclosed. One method includes extracting one or more features from a dataset including time sampled performance of a plurality of artificial lift systems disposed across a plurality of different oil fields, the dataset including data from failed and normally operating artificial lift systems. The method also includes forming a learning model based on identified pre-failure signatures in the extracted features, the learning model configured to predict a failure of an artificial lift system based on observation of one of the identified pre-failure signatures in operational data received from the artificial lift system.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: March 22, 2016
    Assignees: Chevron U.S.A. Inc., University of Southern California
    Inventors: Yintao Liu, Ke-Thia Yao, Cauligi S. Raghavendra, Anqi Wu, Dong Guo, Jingwen Zheng, Lanre Olabinjo, Oluwafemi Balogun, Iraj Ershaghi
  • GLOBAL MODEL FOR FAILURE PREDICTION FOR ARTIFICIAL LIFT SYSTEMS
    Publication number: 20140244552
    Abstract: Methods and systems for predicting failures in an artificial lift system are disclosed. One method includes extracting one or more features from a dataset including time sampled performance of a plurality of artificial lift systems disposed across a plurality of different oil fields, the dataset including data from failed and normally operating artificial lift systems. The method also includes forming a learning model based on identified pre-failure signatures in the extracted features, the learning model configured to predict a failure of an artificial lift system based on observation of one of the identified pre-failure signatures in operational data received from the artificial lift system.
    Type: Application
    Filed: March 14, 2013
    Publication date: August 28, 2014
    Applicants: University of Southern California, Chevron U.S.A. Inc.
    Inventors: Yintao Liu, Ke-Thia Yao, Cauligi S. Raghavenda, Anqi Wu, Dong Guo, Jingwen Zheng, Lanre Olabinjo, Oluwafemi Balogun, Iraj Ershaghi