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:
May. 30, 2023

Filed:

Apr. 22, 2020
Applicant:

Aspentech Corporation, Bedford, MA (US);

Inventors:

Nihar Sahay, Houston, TX (US);

Raja Selvakumar, Houston, TX (US);

Dimitrios Varvarezos, Houston, TX (US);

Assignee:

AspenTech Corporation, Bedford, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2023.01); G06Q 10/0637 (2023.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06Q 10/0631 (2023.01); G06Q 10/067 (2023.01); G06Q 30/0201 (2023.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/06375 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/067 (2013.01); G06Q 10/06315 (2013.01); G06Q 30/0206 (2013.01); G06Q 50/06 (2013.01);
Abstract

Computer tool determines target feedstock for a refinery, process complex, or plant. The tool receives a dataset of market conditions and preprocesses the data based on properties of the plant. Using the preprocessed data and machine learning, the tool trains predictive models. Each predictive model calculates a breakeven value of a candidate feedstock for the given plant under an individual market condition. Different predictive models optimize for different market conditions. A trained predictive model is selected based on a current market condition. The tool applies the selected predictive model and determines whether a candidate feedstock is a target feedstock for the refinery under the current market condition.


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