The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 30, 2025

Filed:

Feb. 02, 2023
Applicant:

Saudi Arabian Oil Company, Dhahran, SA;

Inventor:

Ammar Alqatari, Dhahran, SA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G01V 11/00 (2006.01); G06N 3/088 (2023.01); G06V 10/762 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G01V 11/00 (2013.01); G06N 3/088 (2013.01); G06V 10/763 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01);
Abstract

A method for identifying fractures within a geological formation is provided. The method includes obtaining a plurality of images from within a first well located within the geological formation, wherein at least one image of the plurality of images comprises an identified fracture in the geological formation, obtaining a first mudlogging dataset associated with the plurality of images, correlating one or more helium measurements from the first mudlogging dataset with each image of the plurality of images via a machine learning engine to train a machine learning model to obtained a trained machine learning model, obtaining, by the trained machine learning model, a second mudlogging dataset associated with an interval of a second well, and determining a presence of one or more fractures in the interval of the second well by the machine learning model based on helium content determined from the second mudlogging dataset.


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