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. 21, 2023

Filed:

Oct. 06, 2021
Applicants:

Robert Krumm, Oklahoma City, OK (US);

Ryan Antle, Oklahoma City, OK (US);

Haifeng Jiang, Oklahoma City, OK (US);

Inventors:

Robert Krumm, Oklahoma City, OK (US);

Ryan Antle, Oklahoma City, OK (US);

Haifeng Jiang, Oklahoma City, OK (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 23/20 (2018.01); G01N 23/2055 (2018.01); G01N 23/223 (2006.01); G01N 33/24 (2006.01); G01N 23/207 (2018.01); G01N 23/222 (2006.01); G01N 1/28 (2006.01); G01N 1/34 (2006.01); E21B 49/06 (2006.01); E21B 49/00 (2006.01); G01N 23/2005 (2018.01); G01V 5/04 (2006.01); G01V 5/08 (2006.01); G01V 5/12 (2006.01);
U.S. Cl.
CPC ...
G01N 23/223 (2013.01); E21B 49/005 (2013.01); E21B 49/06 (2013.01); G01N 1/286 (2013.01); G01N 1/34 (2013.01); G01N 23/20 (2013.01); G01N 23/2005 (2013.01); G01N 23/207 (2013.01); G01N 23/2055 (2013.01); G01N 23/222 (2013.01); G01N 33/24 (2013.01); G01V 5/04 (2013.01); G01V 5/045 (2013.01); G01V 5/08 (2013.01); G01V 5/12 (2013.01); G01V 5/125 (2013.01); G01N 2001/2866 (2013.01); G01N 2223/056 (2013.01); G01N 2223/076 (2013.01); G01N 2223/106 (2013.01); G01N 2223/616 (2013.01);
Abstract

Methods for determining mineral compositions of materials are described. The methods include obtaining elemental data associated with a geologic sample, calculating a measurement correlation matrix of the geologic sample from the elemental data, calculating an artificial correlation matrix, comparing the measurement correlation matrix and the artificial correlation matrix to determine an error value, minimizing the error value by updating the artificial correlation matrix and comparing the measurement correlation matrix to the updated artificial correlation matrix, and determining a mineral composition of the geologic sample based on the minimized measurement correlation matrix.


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