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:
Jun. 30, 2026

Filed:

Feb. 09, 2021
Applicant:

Saudi Arabian Oil Company, Dhahran, SA;

Inventor:

Babatope Kayode, Al Khobar, SA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); E21B 49/00 (2006.01); G01N 15/08 (2006.01); G01V 1/30 (2006.01); G01V 20/00 (2024.01); G06F 30/28 (2020.01); G06F 113/08 (2020.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); E21B 49/00 (2013.01); G01N 15/08 (2013.01); G01V 1/302 (2013.01); G01V 20/00 (2024.01); G06F 30/28 (2020.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05); G01V 1/306 (2013.01); G01V 2210/624 (2013.01); G01V 2210/665 (2013.01); G06F 2113/08 (2020.01);
Abstract

Some implementations provide a method including: accessing measurement data that characterize one or more features of a reservoir, wherein the measurement data are from more than well locations of the reservoir and from a range of depths inside the reservoir; detecting portions of the measurement data that characterize the one or more features with a statistical metric that is below a pre-determined threshold; based on removing the portions of the measurement data, identifying a plurality of layers along the range of depths of the reservoir; within each layer of the plurality of layers, grouping the measurements data among a plurality of clusters, each corresponding to a flow unit (FU) and determined by a machine learning algorithm; generating a three-dimensional (3D) permeability model of the reservoir based on the FU of each layer and a saturation height function; and simulating a performance of the reservoir based on the 3D permeability model.


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Kayode, Babatope. (2026). System and method for implementing machine learning for 3d geo-modeling of petroleum reservoirs (U.S. Patent No. 12670303). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12670303

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