Patents by Inventor Mahdi A. AbuAli

Mahdi A. AbuAli 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).

  • Patent number: 11668847
    Abstract: In an example method, one or more processors receive a plurality of rock fragment images. Each of the rock fragment images represents respective rock fragments obtained from a subsurface formation during well bore drilling. The one or more processors select one or more portions of the rock fragment images, and generate a geological formation image based on the one or more selected portions of the rock fragment images. The geological formation image is indicative of one or more geological characteristics of the subsurface formation along the well bore.
    Type: Grant
    Filed: November 1, 2021
    Date of Patent: June 6, 2023
    Assignee: Saudi Arabian Oil Company
    Inventors: Mahdi A. AbuAli, Mokhles Mustapha Mezghani
  • Patent number: 11634984
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: April 25, 2023
    Assignee: Saudi Arabian Oil Company
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri
  • Publication number: 20220348982
    Abstract: A method for using genomic data to locate a reservoir is provided. The method includes collecting samples in a field over a reservoir. A genomic analysis is performed on the samples to obtain genomic data. The genomic data is clustered to classify sequences of microbial communities associated with using hydrocarbons for energy. The genomic data is used in an artificial intelligence model to identify a drilling site for hydrocarbon production.
    Type: Application
    Filed: April 29, 2021
    Publication date: November 3, 2022
    Inventors: Abdulmohsen A. Al-Humam, Mahdi A. AbuAli, Manar M. AlAhmari, Mohammed A. Bataweel
  • Publication number: 20220214466
    Abstract: In an example method, one or more processors receive a plurality of rock fragment images. Each of the rock fragment images represents respective rock fragments obtained from a subsurface formation during well bore drilling. The one or more processors select one or more portions of the rock fragment images, and generate a geological formation image based on the one or more selected portions of the rock fragment images. The geological formation image is indicative of one or more geological characteristics of the subsurface formation along the well bore.
    Type: Application
    Filed: November 1, 2021
    Publication date: July 7, 2022
    Inventors: Mahdi A. AbuAli, Mokhles Mustapha Mezghani
  • Publication number: 20210246784
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Application
    Filed: January 27, 2021
    Publication date: August 12, 2021
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri
  • Patent number: 10983235
    Abstract: The disclosure provides methods and systems for characterizing depositional features. The methods and systems include accessing data encoding seismic waves as seismic traces reflected from cells at various locations within a particular stratum in response to a seismic source. The cells are classified into multiple non-overlapping groups according to the amplitude values or other seismic attributes of the seismic waves reflected from the various locations within the particular stratum. One or more subgroups of adjacent cells are identified. A subgroup area metric is calculated for each subgroup of cells by combining individual area metrics from adjacent cells in a given subgroup and subsequently assigning the calculated subgroup area metric to each cell of the given subgroup. One or more depositional features within the stratum are characterized based at least in part on the variation map based on the subgroup area metric of each cell.
    Type: Grant
    Filed: September 14, 2018
    Date of Patent: April 20, 2021
    Assignee: Saudi Arabian Oil Company
    Inventors: Si-Hai Zhang, Yin Xu, Mahdi A. AbuAli
  • Patent number: 10982537
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Grant
    Filed: May 6, 2019
    Date of Patent: April 20, 2021
    Assignee: Saudi Arabian Oil Company
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri
  • Patent number: 10934839
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Grant
    Filed: May 6, 2019
    Date of Patent: March 2, 2021
    Assignee: Saudi Arabian Oil Company
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri
  • Patent number: 10787903
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Grant
    Filed: May 6, 2019
    Date of Patent: September 29, 2020
    Assignee: Saudi Arabian Oil Company
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri
  • Publication number: 20200088898
    Abstract: The disclosure provides methods and systems for characterizing depositional features. The methods and systems include accessing data encoding seismic waves as seismic traces reflected from cells at various locations within a particular stratum in response to a seismic source. The cells are classified into multiple non-overlapping groups according to the amplitude values or other seismic attributes of the seismic waves reflected from the various locations within the particular stratum. One or more subgroups of adjacent cells are identified. A subgroup area metric is calculated for each subgroup of cells by combining individual area metrics from adjacent cells in a given subgroup and subsequently assigning the calculated subgroup area metric to each cell of the given subgroup. One or more depositional features within the stratum are characterized based at least in part on the variation map based on the subgroup area metric of each cell.
    Type: Application
    Filed: September 14, 2018
    Publication date: March 19, 2020
    Applicant: Saudi Arabian Oil Company
    Inventors: Si-Hai Zhang, Yin Xu, Mahdi A. AbuAli
  • Publication number: 20190257198
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Application
    Filed: May 6, 2019
    Publication date: August 22, 2019
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri
  • Publication number: 20190257199
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Application
    Filed: May 6, 2019
    Publication date: August 22, 2019
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri
  • Publication number: 20190257200
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.
    Type: Application
    Filed: May 6, 2019
    Publication date: August 22, 2019
    Inventors: Mahdi A. AbuAli, Maher I. Almarhoon, Khaled Arouri