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:

Sep. 08, 2020
Applicant:

The Texas A&m University System, College Station, TX (US);

Inventors:

Paul Ofoche, Bryan, TX (US);

Samuel F. Noynaert, College Station, TX (US);

Assignee:

The Texas A&M University System, College Station, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 11/06 (2006.01); E21B 21/06 (2006.01); G01N 9/00 (2006.01); G01N 9/36 (2006.01); G01N 33/28 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G01N 11/06 (2013.01); E21B 21/062 (2013.01); G01N 9/00 (2013.01); G01N 9/36 (2013.01); G01N 33/2823 (2013.01); G06N 20/20 (2019.01);
Abstract

A method includes obtaining a density of a fluid and obtaining a Marsh funnel time associated with the fluid. The density of the fluid and the Marsh funnel time is provided to a processor. The processor derives properties of the fluid from the fluid density and the Marsh funnel time. A machine-learning algorithm is applied to the properties of the fluid. The machine-learning algorithm determines a plastic viscosity and a yield point of the fluid. Output of the machine-learning algorithm is stored for future use. Properties of the drilling fluid are adjusted based on the output of the machine learning algorithm.


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