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.
Patent No.:
Date of Patent:
Sep. 23, 2025
Filed:
Jul. 21, 2023
Applicant:
Schlumberger Technology Corporation, Sugar Land, TX (US);
Inventors:
Simone Di Santo, Dhahran, SA;
Tetsushi Yamada, Cambridge, MA (US);
Ilaria De Santo, Paris, FR;
Karim Bondabou, Clamart, FR;
Wael Abdallah, Sugar Land, TX (US);
Assignee:
SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); E21B 49/00 (2006.01); G01N 15/08 (2006.01); G01N 15/10 (2006.01); G01V 20/00 (2024.01); G06T 7/10 (2017.01); G06T 7/40 (2017.01); G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/54 (2022.01); G06V 10/56 (2022.01); G06V 10/70 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/771 (2022.01);
U.S. Cl.
CPC ...
G01V 20/00 (2024.01); E21B 49/005 (2013.01); G01N 15/08 (2013.01); G01N 15/088 (2013.01); G01N 15/1012 (2013.01); G06T 7/10 (2017.01); G06T 7/40 (2013.01); G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/54 (2022.01); G06V 10/56 (2022.01); G06V 10/70 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/771 (2022.01);
Abstract
A method for estimating a porosity of a rock sample includes acquiring a calibrated digital image of the rock sample, extracting color and texture features from the digital image of the rock sample, and estimating the porosity of the rock sample using a model to evaluate the extracted color features and texture features. The model is configured to correlate digital image color and texture features with porosity.