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:
Sep. 26, 2023

Filed:

Mar. 11, 2020
Applicant:

Conocophillips Company, Houston, TX (US);

Inventors:

Ge Jin, Houston, TX (US);

Kevin Mendoza, Houston, TX (US);

Baishali Roy, Houston, TX (US);

Darryl G. Buswell, Houston, TX (US);

Assignee:

ConocoPhillips Company, Houston, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/50 (2006.01); E21B 47/14 (2006.01); G06N 3/084 (2023.01); G06F 17/18 (2006.01); G02B 6/44 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G01V 1/50 (2013.01); E21B 47/14 (2013.01); G02B 6/4401 (2013.01); G06F 17/18 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G01V 2210/646 (2013.01);
Abstract

Various aspects described herein relate to a machine learning based detecting of fracture hits in offset monitoring wells when designing hydraulic fracturing processes for a particular well. In one example, a computer-implemented method includes receiving a set of features for a first well proximate to a second well, the second well undergoing a hydraulic fracturing process for extraction of natural resources from underground formations; inputting the set of features into a trained neural network; and providing, as output of the trained neural network, a probability of a fracture hit at a location associated with the set of features in the first well during a given completion stage of the hydraulic fracturing process in the second well.


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