Patents by Inventor Mohammed Al-Hamad

Mohammed Al-Hamad 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).

  • Methods and systems for predicting interfacial tension of reservoir fluids using downhole fluid measurements
    Patent number: 11550975
    Abstract: Methods and systems are provided for characterizing interfacial tension (IFT) of reservoir fluids, which involves obtaining fluid property data that represents fluid properties of a reservoir fluid sample measured downhole at reservoir conditions, and inputting the fluid property data to a computational model that determines a value of oil-water IFT of the reservoir fluid sample based on the fluid property data. In embodiments, the fluid property data represents single-phase fluid properties of the reservoir fluid sample, such as fluid density and viscosity of an oil phase of the reservoir fluid sample and fluid density of a water phase of the reservoir fluid sample. In embodiments, the computation model can be based on machine learning or analytics combined with a thermodynamics-based physics model.
    Type: Grant
    Filed: July 28, 2020
    Date of Patent: January 10, 2023
    Assignees: SCHLUMBERGER TECHNOLOGY CORPORATION, SAUDI ARABIAN OIL COMPANY
    Inventors: Sharath Chandra Mahavadi, Robin Singh, Wael Abdallah, Mohammed Al-Hamad, Bastian Sauerer, Shouxiang Ma, Leilei Zhang
  • METHODS AND SYSTEMS FOR PREDICTING INTERFACIAL TENSION OF RESERVOIR FLUIDS USING DOWNHOLE FLUID MEASUREMENTS
    Publication number: 20220035971
    Abstract: Methods and systems are provided for characterizing interfacial tension (IFT) of reservoir fluids, which involves obtaining fluid property data that represents fluid properties of a reservoir fluid sample measured downhole at reservoir conditions, and inputting the fluid property data to a computational model that determines a value of oil-water IFT of the reservoir fluid sample based on the fluid property data. In embodiments, the fluid property data represents single-phase fluid properties of the reservoir fluid sample, such as fluid density and viscosity of an oil phase of the reservoir fluid sample and fluid density of a water phase of the reservoir fluid sample. In embodiments, the computation model can be based on machine learning or analytics combined with a thermodynamics-based physics model.
    Type: Application
    Filed: July 28, 2020
    Publication date: February 3, 2022
    Inventors: Sharath Chandra Mahavadi, Robin Singh, Wael Abdallah, Mohammed Al-Hamad, Bastian Sauerer, Shouxiang Ma, Leilei Zhang