Patents by Inventor Cedric Gael Fraces Gasmi

Cedric Gael Fraces Gasmi 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).

  • Data-driven methods and systems for improving oil and gas drilling and completion processes
    Patent number: 11466554
    Abstract: Embodiments are directed to managing and improving a drilling and completions process at a hydrocarbon extraction site, and to optimizing resource allocation at a hydrocarbon extraction site/region. In one scenario, a computer system accesses data generated by hardware sensors implemented by drilling and completion equipment at a hydrocarbon extraction site. The computer system formats the sensor data into a form readable by a data mining algorithm, and mines the formatted sensor data to identify characteristics related to the drilling and completion process. The computer system also accesses and integrates historical data related to the drilling and completion equipment at the hydrocarbon extraction site. The computer system then computes drilling and completion performance indicators that identify inefficiencies based on the characteristics identified for the equipment and based on the accessed historical data. Then, a remediation step is performed to resolve the identified inefficiency.
    Type: Grant
    Filed: March 20, 2019
    Date of Patent: October 11, 2022
    Assignee: QRI GROUP, LLC
    Inventors: Ali Karimi Vajargah, David Castineira, Zheren Ma, Cedric Gael Fraces Gasmi, Hamed Darabi
  • DATA-DRIVEN METHODS AND SYSTEMS FOR IMPROVING OIL AND GAS DRILLING AND COMPLETION PROCESSES
    Publication number: 20190292908
    Abstract: Embodiments are directed to managing and improving a drilling and completions process at a hydrocarbon extraction site, and to optimizing resource allocation at a hydrocarbon extraction site/region. In one scenario, a computer system accesses data generated by hardware sensors implemented by drilling and completion equipment at a hydrocarbon extraction site. The computer system formats the sensor data into a form readable by a data mining algorithm, and mines the formatted sensor data to identify characteristics related to the drilling and completion process. The computer system also accesses and integrates historical data related to the drilling and completion equipment at the hydrocarbon extraction site. The computer system then computes drilling and completion performance indicators that identify inefficiencies based on the characteristics identified for the equipment and based on the accessed historical data. Then, a remediation step is performed to resolve the identified inefficiency.
    Type: Application
    Filed: March 20, 2019
    Publication date: September 26, 2019
    Inventors: Ali Karimi Vajargah, David Castineira, Zheren Ma, Cedric Gael Fraces Gasmi, Hamed Darabi