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:
Oct. 04, 2022

Filed:

Jul. 18, 2019
Applicant:

Halliburton Energy Services, Inc., Houston, TX (US);

Inventors:

Jianlei Sun, Katy, TX (US);

Jianfu Ma, Pearland, TX (US);

Dwight David Fulton, Cypress, TX (US);

Ajish Sreeni Radhakrishnan Potty, Missouri City, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 99/00 (2009.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G01V 99/005 (2013.01); G06N 20/20 (2019.01);
Abstract

Disclosed are systems and methods for obtaining input data comprising properties associated with at least one parent well and a child well associated with the at least one parent well, dividing the input data into a training data subset, a validation data subset, and a test data subset, selecting at least one machine learning model using the training data subset, the validation data subset, and the test data subset based on k-fold cross validation, tuning hyper parameters for each of the at least one machine learning model, and generating a learning output using the at least one machine learning model and the hyper parameters for each of the at least one machine learning model, the learning output indicating a test root-mean-square error (RMSE) and a training RMSE.


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