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:
Nov. 12, 2024

Filed:

Dec. 15, 2022
Applicants:

Saudi Arabian Oil Company, Dhahran, SA;

King Abdullah University of Science and Technology, Thuwal, SA;

Inventors:

Marwah Mufid AlSinan, Al Qatif, SA;

Xupeng He, Thuwal, SA;

Hyung Tae Kwak, Dhahran, SA;

Hussein Hoteit, Thuwal, SA;

Yiteng Li, Thuwal, SA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 3/38 (2006.01); G01V 3/14 (2006.01); G01V 5/12 (2006.01); G06F 30/27 (2020.01); G06N 3/0442 (2023.01);
U.S. Cl.
CPC ...
G01V 3/38 (2013.01); G01V 3/14 (2013.01); G01V 5/12 (2013.01); G06F 30/27 (2020.01); G06N 3/0442 (2023.01);
Abstract

Techniques for determining reservoir formation properties include generating digital models of core samples taken from one or more reservoir formations based on corresponding images of the core samples; determining a pore throat size distribution of the core samples based on the generated digital models; determining corresponding capillary pressure curves and corresponding NMR value distributions of the core samples with one or more numerical simulations; generating one or more machine-learning (ML) models based on the pore throat size distribution, corresponding capillary pressure curves, and corresponding NMR value distributions of the core samples; adjusting the one or more ML models with one or more reservoir data of the one or more reservoir formations; generating adjusted capillary pressure curves and NMR value distributions from the one or more adjusted ML models; and determining a reservoir formation specific pore throat size distribution from at least one of the adjusted capillary pressure curves or the adjusted NMR value distributions.


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