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:
Aug. 05, 2025

Filed:

Jun. 25, 2021
Applicant:

Cenovus Energy Inc., Calgary, CA;

Inventors:

Amos Ben-Zvi, Calgary, CA;

Seyide Hunyinbo, Calgary, CA;

Juliana Y. Leung, Calgary, CA;

Prince Azom, Calgary, CA;

Assignee:

Cenovus Energy Inc., Calgary, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); E21B 43/12 (2006.01); E21B 43/24 (2006.01); E21B 47/008 (2012.01); E21B 47/06 (2012.01); E21B 49/00 (2006.01); G06N 20/20 (2019.01); G06F 111/08 (2020.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); E21B 43/128 (2013.01); E21B 43/24 (2013.01); E21B 47/008 (2020.05); E21B 47/06 (2013.01); E21B 49/00 (2013.01); G06N 20/20 (2019.01); E21B 2200/20 (2020.05); G06F 2111/08 (2020.01); G06N 5/01 (2023.01);
Abstract

A method and apparatus for forecasting oil production from an oil well in a geological formation includes receiving a plurality of sets of predicted geological data, for each of the plurality of sets of predicted geological data, determining a probability for the predicted geological data of the formation, iteratively selecting one of the plurality of sets of predicted geological data using Monte Carlo sampling based on the determined probabilities, assigning the selected set of predicted geological data to a cluster of historical data, and for each set of historical data of the cluster generating a predicted oil production rate as a function of time utilizing a machine learning based oil model, generating, based on the predicted oil production rates, a forecasted oil production rate, determining, based on the forecasted oil production rate, a preferred operating parameter for the well, and operating based on the preferred operating parameter.


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