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. 24, 2026

Filed:

Sep. 29, 2022
Applicant:

Chevron U.s.a. Inc., San Ramon, CA (US);

Inventors:

Jianlei Sun, Houston, TX (US);

Brandon Francis Hruby, Denver, CO (US);

Cory Layne Miller, Denver, CO (US);

Arvind Reddy Battula, Sugar Land, TX (US);

Assignee:

Chevron U.S.A. Inc., San Ramon, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); E21B 44/06 (2006.01); G06N 3/044 (2023.01); G06N 3/048 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); E21B 44/06 (2013.01); G06N 3/044 (2023.01); G06N 3/048 (2023.01);
Abstract

A computing system includes a machine learning algorithm executing a machine learning model to predict a probability of a fracture driven interaction associated with a hydrocarbon well. The machine learning algorithm trains the machine learning model using well treatment pumping data, offset well production data, and well stage data. Feature extraction is performed on the pumping data, production data, and well stage data to produce a machine learning model that is used to predict the probability of a fracture driven interaction. The resulting machine learning model can be deployed for use in ongoing hydraulic fracturing operations to predict and reduce real-time fracture driven interactions.


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