Patents by Inventor Abdulrahman Albar

Abdulrahman Albar 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).

  • Method and system for predicting formation top depths
    Patent number: 11719851
    Abstract: A method may include obtaining, by a computer processor, seismic data regarding a geological region of interest. The method may further include obtaining, by the computer processor, well log data from a wellbore within the geological region of interest. The method may further include determining, by the computer processor, a formation top depth using the seismic data, the well log data, a stratigraphic column, and a machine-learning model. The stratigraphic column may describe an order of various formations within the geological region of interest. The machine-learning model may assign a feature among the seismic data and the well log data to a formation among the formations in the stratigraphic column to determine the formation top depth.
    Type: Grant
    Filed: September 2, 2020
    Date of Patent: August 8, 2023
    Assignee: SAUDI ARABIAN OIL COMPANY
    Inventors: Marei Saeed Al-Garni, Mohammed Sabri Al Madani, Maan Abdullah AlHawi, Mohammed AlRashed, Abdulrahman Albar
  • METHOD AND SYSTEM FOR PREDICTING FORMATION TOP DEPTHS
    Publication number: 20220066064
    Abstract: A method may include obtaining, by a computer processor, seismic data regarding a geological region of interest. The method may further include obtaining, by the computer processor, well log data from a wellbore within the geological region of interest. The method may further include determining, by the computer processor, a formation top depth using the seismic data, the well log data, a stratigraphic column, and a machine-learning model. The stratigraphic column may describe an order of various formations within the geological region of interest. The machine-learning model may assign a feature among the seismic data and the well log data to a formation among the formations in the stratigraphic column to determine the formation top depth.
    Type: Application
    Filed: September 2, 2020
    Publication date: March 3, 2022
    Applicant: SAUDI ARABIAN OIL COMPANY
    Inventors: Marei Saeed Al-Garni, Mohammed Sabri Al Madani, Maan Abdullah AlHawi, Mohammed AlRashed, Abdulrahman Albar