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:
Mar. 17, 2020

Filed:

Jun. 04, 2018
Applicant:

Virtual Fluid Monitoring Services Llc, Houma, LA (US);

Inventors:

Dustin Young, Blanchard, OK (US);

Mark Chmielewski, Duluth, MN (US);

Chris Morton, Duluth, MN (US);

Michael Siers, Duluth, MN (US);

Scott Rudder, Hopewell, NJ (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 1/10 (2006.01); G01N 33/28 (2006.01); F01M 11/10 (2006.01); G06F 17/14 (2006.01); G01N 35/00 (2006.01); G01N 21/31 (2006.01); G01N 21/64 (2006.01); G01N 15/06 (2006.01); G01N 21/85 (2006.01); G06N 5/00 (2006.01); G06N 20/10 (2019.01); G01J 3/44 (2006.01); G01N 15/14 (2006.01); G01N 21/65 (2006.01); G06N 3/08 (2006.01); G01N 21/94 (2006.01); G01N 15/00 (2006.01); G01N 21/84 (2006.01); G01N 21/3577 (2014.01); G01N 21/35 (2014.01);
U.S. Cl.
CPC ...
G01N 1/10 (2013.01); F01M 11/10 (2013.01); G01J 3/4406 (2013.01); G01N 15/06 (2013.01); G01N 15/0656 (2013.01); G01N 15/1404 (2013.01); G01N 21/31 (2013.01); G01N 21/64 (2013.01); G01N 21/65 (2013.01); G01N 21/85 (2013.01); G01N 21/8507 (2013.01); G01N 21/94 (2013.01); G01N 33/2858 (2013.01); G01N 33/2876 (2013.01); G01N 33/2888 (2013.01); G01N 35/00871 (2013.01); G06F 17/141 (2013.01); G06N 3/08 (2013.01); G06N 5/003 (2013.01); G06N 20/10 (2019.01); F01M 2011/144 (2013.01); F01M 2011/148 (2013.01); F01M 2011/1446 (2013.01); F01M 2011/1466 (2013.01); F01M 2011/1473 (2013.01); F01M 2011/1493 (2013.01); G01N 21/3577 (2013.01); G01N 21/643 (2013.01); G01N 2015/003 (2013.01); G01N 2015/0053 (2013.01); G01N 2015/0662 (2013.01); G01N 2015/0687 (2013.01); G01N 2015/0693 (2013.01); G01N 2021/3595 (2013.01); G01N 2021/6417 (2013.01); G01N 2021/8411 (2013.01); G01N 2035/00881 (2013.01);
Abstract

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.


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