Patents by Inventor Anwar Rahim Awan

Anwar Rahim Awan 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).

  • Optimization of discrete fracture network (DFN) using streamlines and machine learning
    Patent number: 11434759
    Abstract: A methodology is provided to optimize the dynamic connectivity of a discrete fracture network (DFN) model of a subsurface reservoir against observed reservoir production measures using streamlines and machine learning. Adjustment of discrete fracture network properties of the reservoir is made locally and minimizes computer processing time spent in history matching. An iterative workflow identifies history match issues between measured and predicted or simulated water cut of reservoir produced fluids. Streamline analysis quantifies injector-producer communication and identifies reservoir grid block bundles that dominate dynamic response. A genetic algorithm updates discrete fracture network properties of the reservoir model to improve dynamic history match response.
    Type: Grant
    Filed: July 7, 2020
    Date of Patent: September 6, 2022
    Assignee: Saudi Arabian Oil Company
    Inventors: Anwar Rahim Awan, Otto E. Meza Camargo, Mustafa Amari, Marei Al-Garni
  • OPTIMIZATION OF DISCRETE FRACTURE NETWORK (DFN) USING STREAMLINES AND MACHINE LEARNING
    Publication number: 20220010678
    Abstract: A methodology is provided to optimize the dynamic connectivity of a discrete fracture network (DFN) model of a subsurface reservoir against observed reservoir production measures using streamlines and machine learning. Adjustment of discrete fracture network properties of the reservoir is made locally and minimizes computer processing time spent in history matching. An iterative workflow identifies history match issues between measured and predicted or simulated water cut of reservoir produced fluids. Streamline analysis quantifies injector-producer communication and identifies reservoir grid block bundles that dominate dynamic response. A genetic algorithm updates discrete fracture network properties of the reservoir model to improve dynamic history match response.
    Type: Application
    Filed: July 7, 2020
    Publication date: January 13, 2022
    Inventors: Anwar Rahim Awan, Otto E. Meza Camargo, Mustafa Amari, Marei Al-Garni