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:
Aug. 26, 2025

Filed:

Mar. 02, 2021
Applicant:

Schlumberger Technology Corporation, Sugar Land, TX (US);

Inventors:

Atul Laxman Katole, Bangalore, IN;

Hiren Maniar, Houston, TX (US);

Denzil Francis Crasta, Mangalore, IN;

Preeti Gupta, Pune, IN;

Aria Abubakar, Sugar Land, TX (US);

Aaron Scollard, Houston, TX (US);

Ekansh Verma, Bengaluru, IN;

Purnaprajna Mangsuli, Pune, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/413 (2022.01); G06T 5/70 (2024.01); G06T 5/77 (2024.01); G06T 7/12 (2017.01); G06T 7/60 (2017.01); G06V 10/30 (2022.01); G06V 10/70 (2022.01); G06V 30/41 (2022.01); G06V 30/422 (2022.01);
U.S. Cl.
CPC ...
G06V 30/413 (2022.01); G06T 5/70 (2024.01); G06T 5/77 (2024.01); G06T 7/12 (2017.01); G06T 7/60 (2013.01); G06V 10/30 (2022.01); G06V 10/70 (2022.01); G06V 30/41 (2022.01); G06V 30/422 (2022.01); G06V 2201/07 (2022.01);
Abstract

A method for digitizing image-based data includes receiving an image file including one or more target objects, generating an intermediate image by removing noise from the image file using a denoising machine learning model, identifying the one or more target objects included in the intermediate image using an object segmentation machine learning model, discretizing the one or more target objects that were identified using the trained object segmentation machine learning model, and storing the one or more target objects that were discretized in a data file, visualizing the one or more target objects, or both.


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