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:
Feb. 10, 2026

Filed:

Dec. 15, 2021
Applicant:

Saudi Arabian Oil Company, Dhahran, SA;

Inventors:

Weichang Li, Katy, TX (US);

Ashok Santra, The Woodlands, TX (US);

Miguel Gonzalez, Houston, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/20 (2020.01); E21B 49/00 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
E21B 49/005 (2013.01); G06N 20/20 (2019.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05);
Abstract

A computer-implemented method for machine learning based rig-site on-demand drilling mud characterization, property prediction and optimization is described. The method includes predicting rheological properties of drilling mud from compositional data based on a first empirical relationship across the compositional data. The method also includes predicting sensor based rheological performance of drilling mud based on a second relationship between the predicted rheological properties of the drilling mud and sensor responses from one or more sensors. Additionally, the method includes providing feedback to the one or more sensors, wherein the feedback comprises the sensor based rheological performance, sensor responses, and a formulation associated with the drilling mud, wherein the feedback enables updating the formulation associated with the drilling mud.


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