Patents by Inventor Fatma Mahfoudh

Fatma Mahfoudh 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: 20230082520
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting a washout or other anomaly event in a wellbore. In particular, in one or more embodiments, the disclosed systems receive a plurality of measurements including a measured flow rate into the wellbore, a measured weight on a drill bit in the wellbore, a measured depth of the drill bit in the wellbore, and a measured pressure at a standpipe of the wellbore. In one or more embodiments, the disclosed systems estimate one or more parameters of a physical model for determining a theoretical estimate of the standpipe pressure. In one or more embodiments, the disclosed systems determine a probability that the washout or other anomaly event is occurring in the wellbore based at least partially upon the measurements and the theoretical estimate of the standpipe pressure.
    Type: Application
    Filed: September 2, 2022
    Publication date: March 16, 2023
    Inventors: Aymeric Lilian Jan, Fatma Mahfoudh, Gordana Draskovic, Cheolkyun Jeong, Yingwei Yu
  • Publication number: 20230017966
    Abstract: A method can include receiving input for a drilling operation that utilizes a bottom hole assembly and drilling fluid; generating a set of offset drilling operations using historical feature data, where the historical feature data are processed by computing feature distances; performing an assessment of the offset drilling operations as characterized by at least feature distance-based similarity between the drilling operation and the offset drilling operations; and outputting at least one recommendation for selection of one or more of a component of the bottom hole assembly and the drilling fluid based on the assessment.
    Type: Application
    Filed: July 12, 2022
    Publication date: January 19, 2023
    Inventors: Gregory Michael Skoff, Crispin Chatar, Velizar Vesselinov, Cheolkyun Jeong, Yingwei Yu, Georgia Kouyialis, Fatma Mahfoudh
  • Publication number: 20220397027
    Abstract: Planning a wellbore includes determining drillability values from surface drilling parameters for an offset wellbore. The drillability values are used to prepare a protein code sequence of protein codes assigned to a range of drillability values. The protein code sequence from the offset wellbore is used to develop a protein code sequence for a planned wellbore. A machine learning model analyzes the offset surface drilling parameters and protein code sequence, and provides target surface drilling parameters for the planned wellbore.
    Type: Application
    Filed: May 4, 2022
    Publication date: December 15, 2022
    Inventors: Valerian Guillot, Fatma Mahfoudh, Josselin Kherroubi, Anderson Schmidt